Academic literature on the topic 'Ranging signal acquisition time'

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Journal articles on the topic "Ranging signal acquisition time"

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Ji, Xiao Dong, Zi Xian Yang, Xu Li, Guang Hui Xue, and Miao Wu. "Study on Method for Real-Time Vibration Signal of Shearer Acquisition." Applied Mechanics and Materials 373-375 (August 2013): 865–69. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.865.

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In order to acquire and analyze the real-time vibration signals of shearer in the process of coal mining. This experiment used the portable vibration measurement data recorder, which developed by ourselves. We design a comprehensive set of solutions for data acquisition according to underground mining machines working in real time. Through the data collection package, obtained a shearer vibration signal sample on real-time working. Meanwhile, analyze the vibration signal using signal analysis method. Through the experiment we acquire vibration signals of shearer's ranging-arms on real-time working, and the analysis results indicate that data collection solution is reasonably practicable.
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Diouf, Cherif, Gerard J. M. Janssen, Han Dun, Tarik Kazaz, and Christian C. J. M. Tiberius. "A USRP-Based Testbed for Wideband Ranging and Positioning Signal Acquisition." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–15. http://dx.doi.org/10.1109/tim.2021.3065449.

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Wu, Xing Cun, Ping Gong, Hai Jun Song, and Hui Zhi Zou. "An FFT-Based Approach for Carrier Frequency Domain Acquisition in Spread Spectrum TT&C System." Applied Mechanics and Materials 135-136 (October 2011): 211–16. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.211.

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Acquisition time of precision ranging code is long under the conditions of large Doppler shift, the carrier frequency domain FFT-based fast acquisition theory was analyzed, and the method of carrier Doppler compensation estimates to complete the PN code Doppler compensation was directly used in spread spectrum ranging signal acquisition. Comparing with the traditional parallel acquisition approach, the Doppler frequency estimation accuracy and acquisition speed is greatly improved, the acquisition time is shorter than long code segment with the traditional parallel acquisition method. Comparing with the method of short code supporting for long code, the channel energy is saved.
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Li, Zhikang, Bo Liu, Huachuang Wang, Zhen Chen, Qun Zhang, Kangjian Hua, and Jing Yang. "Target Tracking and Ranging Based on Single Photon Detection." Photonics 8, no. 7 (July 15, 2021): 278. http://dx.doi.org/10.3390/photonics8070278.

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In order to achieve non-cooperative target tracking and ranging in conditions of a weak echo signal, this paper presents a real-time acquisition, pointing, tracking (APT), and ranging (APTR) lidar system based on single photon detection. With this system, an active target APT mechanism based on a single photon detector is proposed. The target tracking and ranging strategy and the simulation of target APT are presented. Experiments in the laboratory show that the system has good performance to achieve the acquisition, pointing and ranging of a static target, and track a dynamic target (angular velocity around 3 mrad/s) under the condition of extremely weak echo signals (a dozen photons). Meanwhile, through further theoretical analysis, it can be proven that the mechanism has stronger tracking and detection ability in long distance. It can achieve the active tracking of the target with a lateral velocity of hundreds of meters per second at about one hundred kilometers distance. This means that it has the ability of fast long-distance non-cooperative target tracking and ranging, only by using a single-point single photon detector.
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Incoronato, Alfonso, Mauro Locatelli, and Franco Zappa. "Statistical Modelling of SPADs for Time-of-Flight LiDAR." Sensors 21, no. 13 (June 30, 2021): 4481. http://dx.doi.org/10.3390/s21134481.

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Time-of-Flight (TOF) based Light Detection and Ranging (LiDAR) is a widespread technique for distance measurements in both single-spot depth ranging and 3D mapping. Single Photon Avalanche Diode (SPAD) detectors provide single-photon sensitivity and allow in-pixel integration of a Time-to-Digital Converter (TDC) to measure the TOF of single-photons. From the repetitive acquisition of photons returning from multiple laser shots, it is possible to accumulate a TOF histogram, so as to identify the laser pulse return from unwelcome ambient light and compute the desired distance information. In order to properly predict the TOF histogram distribution and design each component of the LiDAR system, from SPAD to TDC and histogram processing, we present a detailed statistical modelling of the acquisition chain and we show the perfect matching with Monte Carlo simulations in very different operating conditions and very high background levels. We take into consideration SPAD non-idealities such as hold-off time, afterpulsing, and crosstalk, and we show the heavy pile-up distortion in case of high background. Moreover, we also model non-idealities of timing electronics chain, namely, TDC dead-time, limited number of storage cells for TOF data, and TDC sharing. Eventually, we show how the exploit the modelling to reversely extract the original LiDAR return signal from the distorted measured TOF data in different operating conditions.
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Roule, Petr, Ondřej Jakubov, Pavel Kovář, Petr Kařmařík, and František Vejražka. "Gnss Signal Processing in Gpu." Artificial Satellites 48, no. 2 (June 1, 2013): 51–61. http://dx.doi.org/10.2478/arsa-2013-0005.

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ABSTRACT Signal processing of the global navigation satellite systems (GNSS) is a computationally demanding task due to the wide bandwidth of the signals and their complicated modulation schemes. The classical GNSS receivers therefore utilize tailored digital signal processors (DSP) not being flexible in nature. Fortunately, the up-to-date parallel processors or graphical processing units (GPUs) dispose sufficient computational power for processing of not only relatively narrow band GPS L1 C/A signal but also the modernized GPS, GLONASS, Galileo and COMPASS signals. The performance improvement of the modern processors is based on the constantly increasing number of cores. This trend is evident not only from the development of the central processing units (CPUs), but also from the development of GPUs that are nowadays equipped with up to several hundreds of cores optimized for video signals. GPUs include special vector instructions that support implementation of massive parallelism. The new GPUs, named as general-purpose computation on graphics processing units (GPGPU), are able to process both graphic and general data, thus making the GNSS signal processing possible. Application programming interfaces (APIs) supporting GPU parallel processing have been developed and standardized. The most general one, Open Computing Language (Open CL), is now supported by most of the GPU vendors. Next, Compute Unified Device Architecture (CUDA) language was developed for NVidia graphic cards. The CUDA language features optimized signal processing libraries including efficient implementation of the fast Fourier transform (FFT). In this paper, we study the applicability of the GPU approach in GNSS signal acquisition. Two common parallel DSP methods, parallel code space search (PCSS) and double-block zero padding (DBZP), have been investigated. Implementations in the C language for CPU and the CUDA language for GPU are discussed and compared with respect to the acquisition time. It is shown that for signals with long ranging codes (with 10230 number of chips - Galileo E5, GPS L5 etc.). Paper presented at the "European Navigation Conference 2012", held in Gdansk, Poland
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Satyanarayana, A. N., B. Chandrashekara Rao, D. Lalitha, and B. Lakshmi. "Modis data acquisition and utilization for forest fire management in india." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (December 23, 2014): 1383–87. http://dx.doi.org/10.5194/isprsarchives-xl-8-1383-2014.

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The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard Terra & Aqua Spacecrafts Scans the earth in 36 spectral bands & covers the entire earth in two days. MODIS data has proved to be very useful for ocean & land studies with resolution ranging from 250 m to 1000 meters. The Data Reception system at Shadnagar (Refer to the Block diagram Fig.1), receives the data transmitted in X-band on 8160 MHz carrier SQPSK modulated with a data rate of 15 MBPS from the Aqua satellite. The down converted IF signal is fed to the demodulator & bit-synchronizer unit. The data and clock output signals of bitsynchronizer unit are given to a PC based DAQLB system where real-time telemetry processing is carried out and data is recorded onto hard disk in real time. The effectiveness of the system in supporting the forest fire management during the 2011, 12, 13 & 14 is also presented in the paper. Near real-time active fire monitoring, interactive fire visualization, fire database and statistical analysis functions also presented. Preliminary results of the upgrading satellite receiving system and in expanding the utilization of satellite data for multi-disciplinary resources management will also be presented and discussed.
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Coccia, Armando, Federica Amitrano, Leandro Donisi, Giuseppe Cesarelli, Gaetano Pagano, Mario Cesarelli, and Giovanni D'Addio. "Design and validation of an e-textile-based wearable system for remote health monitoring." ACTA IMEKO 10, no. 2 (June 29, 2021): 220. http://dx.doi.org/10.21014/acta_imeko.v10i2.912.

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<p class="Abstract">The paper presents a new e-textile-based system, named SWEET Shirt, for the remote monitoring of biomedical signals. The system includes a textile sensing shirt, an electronic unit for data transmission, a custom-made Android application for real-time signal visualisation and a software desktop for advanced digital signal processing. The device allows for the acquisition of electrocardiographic, bicep electromyographic and trunk acceleration signals. The sensors, electrodes, and bus structures are all integrated within the textile garment, without any discomfort for users. A wide-ranging set of algorithms for signal processing were also developed for use within the system, allowing clinicians to rapidly obtain a complete and schematic overview of a patient’s clinical status. The aim of this work was to present the design and development of the device and to provide a validation analysis of the electrocardiographic measurement and digital processing. The results demonstrate that the information contained in the signals recorded by the novel system is comparable to that obtained via a standard medical device commonly used in clinical environments. Similarly encouraging results were obtained in the comparison of the variables derived from the signal processing.</p>
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Du, Wen Ya, Wei Ping Song, Deng Chao Feng, and Li Hong Zhang. "Study on GPS Ranging Technology for Intelligent Detection of Subgrade Compaction." Applied Mechanics and Materials 220-223 (November 2012): 1533–38. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1533.

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Subgrade compaction is an important task in modern traffic fields, where GPS ranging technology is one of the key technologies in intelligent compaction. In the paper, NMEA communication protocol was illustrated, the statement of GPGGA was analyzed, and the extraction of the single point geographical coordinate was realized correspondingly. Aimed at the phenomenon of data loss in signal drift and data acquisition, the missing data estimation algorithm for longitude and latitude was adopted to obtain the complete data sets as well. Finally, the deficiencies of the traditional longitude and latitude distance measuring formula were analyzed and a new model of measuring distance of longitude and latitude was discussed. The experimental results show that the method has the better stability of measurement, the higher test accuracy, which has a good application prospects in intelligent compaction. However, the real-time property of data processing still needs further research.
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Jiang, Zhonghui, Wu Huang, Xiao Wei, Defu Cheng, and Dan Li. "Self-Adaptive Dynamic Ranging Model-Based Real-Time Hybrid Algorithm for Accurate Indoor Localization." International Journal of Computer and Communication Engineering 9, no. 4 (2020): 167–84. http://dx.doi.org/10.17706/ijcce.2020.9.4.167-184.

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The reliability of location information still maintains a crucial impact on restricting the development of location based services in indoor environment. However, in wireless local area network, received signal strength indicator (RSSI) is prone to be interfered by indoor complex environment, resulting in low accuracy and instability of real-time positioning. Here, the new self-adaptive dynamic ranging model-based real-time hybrid algorithm was proposed to realize accurate and undisturbed localization in indoor scenes. A self-adaptive dynamic ranging model was initially constructed to update the environmental parameters and correct the ranging values of mobile terminals in real time. Based on this model, a hybrid KNN algorithm and a hybrid Bayesian algorithm were severally presented. Location fingerprint database and real-time RSSI data of test points were then obtained through data acquisition. Finally, the acquired data was further used to verify the two hybrid algorithms proposed, and compared with the results of several conventional algorithms. As a result, the stability and accuracy of dual hybrid algorithms were better than those of the traditional ones. The range of average location error of both hybrid algorithms maintained 1.26-1.38 m, which was significantly lower than the error level of 2-5 m under the current WLAN environment. This newly proposed hybrid algorithm could effectively improve the stability and accuracy of indoor localization with real-time positioning algorithm, providing a promising solution for RSSI-based indoor positioning system.
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Dissertations / Theses on the topic "Ranging signal acquisition time"

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McLean, Roger, Niles Walker, and William Slivkoff. "HIGH PERFORMANCE SATELLITE RANGING TECHNIQUE UTILIZING A FLEXIBLE RANGING SIGNAL WAVEFORM." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/607705.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California
Range to an orbiting satellite from a ground reference point (ground station) can be determined by measuring the round trip time for a waveform transmitted to the satellite and returned to the ground station (Turnaround Ranging) and more recently by using the Global Positioning System (GPS). This paper first summarizes and compares the two approaches. The paper then describes and analyzes a new turn-around ranging system which uses a flexible ranging waveform that provides spectral compatibility with existing Military, NASA, and Commercial satellite uplink/downlink signals.
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Bhattacharjee, Nirjhar. "A Real-Time Data Acquisition and Digital Signal Processing System for Neuromonitoring." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445342703.

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Pierre, Eric Y. "Reliable Use of Acquired and Simulated Signal Databases to Reduce MRI Acquisition Time." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1404220001.

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Jian-zhong, Qi, Gong Yan, and Song Peng. "Realization of Fast Acquisition for Spread Spectrum Signal Based on FFT." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595763.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada
Acquisition based on Fast Fourier Transform (FFT) can acquire Pseudo-random code phase quickly and improve the performance of the satellite navigation receivers. In the paper Real-time receiver adopts the FPGA to realize the function of FFT and uses DSP processor to control the implementation process of Acquisition. For increasing the sensitivity of Acquisition incoherent accumulation were used in the process. Also, in the paper we have discussed the process method for decreasing the negative influence of signal power changes and carrier's Doppler frequency.
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Ammendrup, Katrin. "Framework for Wireless Acquisition of Surface EMG and Real-Time Control." Thesis, KTH, Medicinteknik och hälsosystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233311.

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Muscle driven devices are controlled or powered with muscle activation. These devices open up the possibility of offering patients with limited muscle function to automatically control assistive devices - for instance exoskeletons - with input from their own muscles. This solution would help a number of patient groups suffering from common conditions, such as spinal cord injuries, stroke and cerebral palsy. To use muscle activation as input it is necessary to have a way to communicate with the mus- cles. Electromyography (EMG) is a technology used to gain information about muscle function and activation. It is performed by measuring and analyzing electrical signals conducted by the muscles during activation. Activation and activation level can be seen from analyzed EMG signal. EMG signals are frequently measured and analyzed afterwards, however, to use it as a controlling an assistive devices, real time analysis is necessary. In this thesis real time acquisi- tion and analysis of EMG was performed. The measured signal was used as an input to control a simple MATLAB computer game. The EMG of a muscle of the forearm, Brachioradialis, was measured with Myon Aktos sys- tem. The measured signal was written to a server as soon as the measurements were acquired. MATLAB was used to connect to the server and performing the signal analysis. The analysis was kept simple in order to limit delay. The result showed that it was possible to acquire real time signal with this method. The delay was negligible, both for the testing and for the game play. Showing that it is possible to play a game with muscle activation supports the idea of a motor that can be controlled automatically with muscle input. Future work should focus on understanding movement intent with respect to EMG and on analyzing multiple signals from different muscles at the same time.
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Morenius, Boel. "Data acquisition and post-processing of a high time resolution local phase signal at the Westinghouse FRIGG facility." Thesis, KTH, Fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169621.

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Correia, Fábio Gonçalves. "Quality control of ultra high resolution seismic data acquisition in real-time." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/22007.

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Mestrado em Engenharia Geológica
A aquisicção de grandes volumes de dados durante uma campanha sísmica exige, necessariamente, mais tempo para o controlo de qualidade (QC). No entanto, o tempo de QC não pode ser extendido devido a limitações do tempo de operação, tendo de ser feito mais rápido, o que pode comprometer a qualidade. A alternativa, alocar mais pessoas e recursos para QC e melhorar a eficiência, leva a aumentos de custo e à necessidade de maiores embarcações. Além disso, o QC tradicional requer tempo de análise após a aquisição, atrasando a desmobilização da embarcação, aumentando assim os custos da aquisição. A solução proposta passou pelo desenvolvimento de um QC automático em tempo real eficiente, testando a Comparação Espetral e o Atributo Razão Sinal-Ruído - ferramentas desenvolvidas no software SPW, usado para processamento de dados sísmicos. Usando este software foi testada a deteção e identificação de dados de fraca qualidade através das ferramentas de QC automáticas e os seus parâmetros ajustados para incluir pelo menos todos os maus registos encontrados manualmente. Foi também feita a deteção e identificação de vários problemas encontrados durante uma campanha de aquisição, tais como fortes ondulações e respetiva direção, o ruído de esteira provocado pelas hélices da embarcação e consequente Trouser’s Effect e mau funcionamento das fontes ou dos recetores. A deteção antecipada destes problemas pode permitir a sua resolução atempada, não comprometendo a aquisição dos dados. Foram feitos vários relatórios para descrever problemas encontrados durante os testes de versões beta do software SPW e os mesmos reportados à equipa da Parallel Geoscience, que atualizou o software de forma a preencher os requisitos necessários ao bom funcionamento do QC em tempo real. Estas atualizações permitiram o correto mapeamento dos headers dos ficheiros, otimização da velocidade de análise das ferramentas automáticas e correção de erros em processamento dos dados em multi-thread, para evitar atrasos entre o QC em tempo real e a aquisição dos dados, adaptação das ferramentas à leitura de um número variável de assinaturas das fontes, otimização dos limites de memória gráfica e correção de valores anómalos de semelhança espetral. Algumas atualizações foram feitas através da simulação da aquisição de dados na empresa, de forma a efetuar alguns ajustes e posteriormente serem feitos testes numa campanha futura. A parametrização destas ferramentas foi alcançada, assegurando-se assim a correta deteção automática dos vários problemas encontrados durante a campanha de aquisição usada para os testes, o que levará à redução do tempo gasto na fase de QC a bordo e ao aumento da sua eficácia.
The acquisition of larger volumes of seismic data during a survey requires, necessarily, more time for quality control (QC). Despite this, QC cannot be extended due operational time constraints and must be done faster, compromising its efficiency and consequently the data quality. The alternative, to allocate more people and resources for QC to improve efficiency, leads to prohibitive higher costs and larger vessel requirements. Therefore, traditional QC methods for large data require extended standby times after data acquisition, before the vessel can be demobilized, increasing the cost of survey. The solution tested here consisted on the development of an efficient Real- Time QC by testing Spectral Comparison and Signal to Noise Ratio Attribute (tools developed for the SPW seismic processing software). The detection and identification of bad data by the automatic QC tools was made and the parameters adapted to include at least all manual QC flags. Also, the detection and identification of common problems during acquisition, such strong wave motion and its direction, strong propeller’s wash, trouser’s effect and malfunction in sources or receivers were carried out. The premature detection of these problems will allow to solve them soon enough to not compromise the data acquisition. Several problem reports from beta tests of SPW were transmitted to the Parallel Geoscience team, to be used as a reference to update the software and fulfil Real-Time QC requirements. These updates brought the correct mapping of data headers in files, optimization of data analysis speed along with multi-thread processing debug, to assure it will be running fast enough to avoid delays between acquisition and Real-Time QC, software design to read a variable number of source signatures, optimization of graphic memory limits and debugging of anomalous spectral semblance values. Some updates resulted from a data acquisition simulation that was set up in the office, to make some adjustments to be later tested on an upcoming survey. The parameterization of these tools was finally achieved, assuring the correct detection of all major issues found during the survey, what will eventually lead to the reduction of time needed for QC stage on board, as also to the improvement of its efficiency.
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Mody, Apurva Narendra. "Signal Acquisition and Tracking for Fixed Wireless Access Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/7624.

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The general objective of this proposed research is to design and develop signal acquisition and tracking algorithms for multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems for fixed wireless access applications. The algorithms are specifically targeted for systems that work in time division multiple access and frequency division multiple access frame modes. In our research, we first develop a comprehensive system model for a MIMO-OFDM system under the influence of the radio frequency (RF) oscillator frequency offset, sampling frequency (SF) offset, RF oscillator phase noise, frequency selective channel impairments and finally the additive white Gaussian noise. We then develop the acquisition and tracking algorithms to estimate and track all these parameters. The acquisition and tracking algorithms are assisted by a preamble consisting of one or more training sequences and pilot symbol matrices. Along with the signal acquisition and tracking algorithms, we also consider design of the MIMO-OFDM preamble and pilot signals that enable the suggested algorithms to work efficiently. Signal acquisition as defined in our research consists of time and RF synchronization, SF offset estimation and correction, phase noise estimation and correction and finally channel estimation. Signal tracking consists of RF, SF, phase noise and channel tracking. Time synchronization, RF oscillator frequency offset, SF oscillator frequency offset, phase noise and channel estimation and tracking are all research topics by themselves. A large number of studies have addressed these issues, but usually individually and for single-input single-output (SISO) OFDM systems. In the proposed research we present a complete suite of signal acquisition and tracking algorithms for MIMO-OFDM systems along with Cramr-Rao bounds for the SISO-OFDM case. In addition, we also derive the Maximum Likelihood (ML) estimates of the parameters for the SISO-OFDM case. Our proposed research is unique from the existing literature in that it presents a complete receiver implementation for MIMO-OFDM systems and accounts for the cumulative effects of all possible acquisition and tracking errors on the bit error rate (BER) performance. The suggested algorithms and the pilot/training schemes may be applied to any MIMO OFDM system and are independent of the space-time coding techniques that are employed.
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Winstead, Michael L., and Karen J. Saenz. "A NEAR LAUNCH FLIGHT SAFETY SYSTEM UTILIZING TELEMETRY SIGNAL RADIO INTERFEROMETRY." International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/607543.

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International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, Nevada
Flight Safety concerns increase proportionally with increasing missile performance. These concerns are greatest in the near launch arena where a missile has the greatest potential energy. Systems such as radar, GPS tracking systems, and optics are normally of limited use in this arena for a number of reasons. A system was required that would provide useful tracking data in the first few seconds of a missile launch. This system has met that requirement providing nominal path deviation data from the launcher out to as much as 120 seconds. The tracking system described herein uses the principle of radio interferometry to derive phase difference measurements between carefully spaced antennas. These measurements are transmitted to the Operational Display Facility and converted to a usable angular deviation plot for use by Flight Safety Personnel. This paper provides an elementary radio interferometer system background and discusses this particular system setup and use. Some detail is provided on the premission simulation and setup of the system as well as the real-time display setup and output of the final data product.
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Pellegrino, Gregory S. "Design of a Low-Cost Data Acquisition System for Rotordynamic Data Collection." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/1978.

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A data acquisition system (DAQ) was designed based on the use of a STM32 microcontroller. Its purpose is to provide a transparent and low-cost alternative to commercially available DAQs, providing educators a means to teach students about the process through which data are collected as well as the uses of collected data. The DAQ was designed to collect data from rotating machinery spinning at a speed up to 10,000 RPM and send this data to a computer through a USB 2.0 full-speed connection. Multitasking code was written for the DAQ to allow for data to be simultaneously collected and transferred over USB. Additionally, a console application was created to control the DAQ and read data, and MATLAB code written to analyze the data. The DAQ was compared against a custom assembled National Instruments CompactDAQ system. Using a Bentley-Nevada RK 4 Rotor Kit, data was simultaneously collected using both DAQs. Analysis of this data shows the capabilities and limitations of the low cost DAQ compared to the custom CompactDAQ.
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Books on the topic "Ranging signal acquisition time"

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Hermosillo-Valadez, J. Real-time signal demodulation in a DSP-based electrical impedance tomography data acquisition system. Manchester: UMIST, 1994.

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Sorkin, David. Jewish Emancipation. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691164946.001.0001.

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For all their unquestionable importance, the Holocaust and the founding of the State of Israel now loom so large in modern Jewish history that we have mostly lost sight of the fact that they are only part of—and indeed reactions to—the central event of that history: emancipation. This book seeks to reorient Jewish history by offering the first comprehensive account in any language of the process by which Jews became citizens with civil and political rights in the modern world. Ranging from the mid-sixteenth century to the beginning of the twenty-first, the book tells the ongoing story of how Jews have gained, kept, lost, and recovered rights in Europe, North Africa, the Middle East, the United States, and Israel. Emancipation, the book shows, was not a one-time or linear event that began with the Enlightenment or French Revolution and culminated with Jews' acquisition of rights in Central Europe in 1867–71 or Russia in 1917. Rather, emancipation was and is a complex, multidirectional, and ambiguous process characterized by deflections and reversals, defeats and successes, triumphs and tragedies. For example, American Jews mobilized twice for emancipation: in the nineteenth century for political rights, and in the twentieth for lost civil rights. Similarly, Israel itself has struggled from the start to institute equality among its heterogeneous citizens. By telling the story of this foundational but neglected event, the book reveals the lost contours of Jewish history over the past half millennium.
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Ramani, Ramachandran, ed. Functional MRI. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190297763.001.0001.

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Functional MRI with BOLD (Blood Oxygen Level Dependent) imaging is one of the commonly used modalities for studying brain function in neuroscience. The underlying source of the BOLD fMRI signal is the variation in oxyhemoglobin to deoxyhemoglobin ratio at the site of neuronal activity in the brain. fMRI is mostly used to map out the location and intensity of brain activity that correlate with mental activities. In recent years, a new approach to fMRI was developed that is called resting-state fMRI. The fMRI signal from this method does not require the brain to perform any goal-directed task; it is acquired with the subject at rest. It was discovered that there are low-frequency fluctuations in the fMRI signal in the brain at rest. The signals originate from spatially distinct functionally related brain regions but exhibit coherent time-synchronous fluctuations. Several of the networks have been identified and are called resting-state networks. These networks represent the strength of the functional connectivity between distinct functionally related brain regions and have been used as imaging markers of various neurological and psychiatric diseases. Resting-state fMRI is also ideally suited for functional brain imaging in disorders of consciousness and in subjects under anesthesia. This book provides a review of the basic principles of fMRI (signal sources, acquisition methods, and data analysis) and its potential clinical applications.
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Gopinath, Sumanth, and Pwyll ap Siôn, eds. Rethinking Reich. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190605285.001.0001.

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Although the composer Steve Reich (b. 1936) has been described as “the most original musical thinker of our time,” who has received innumerable accolades in a career spanning more than fifty years, his music remains nevertheless underresearched. However, during the past ten years, renewed interest has been shown in the music of this seminal figure, partly generated through the acquisition of the Steve Reich Collection at the Paul Sacher Stiftung in Basel, Switzerland. Rethinking Reich is the first edited volume on a musical figure considered by many to be America’s greatest living composer. With contributions by academics known for their expert knowledge on various aspects of Reich’s work—ranging from analytical, aesthetic, and archival studies to sociocultural, philosophical, and ethnomusicological reflections—the book provides a much-needed intellectual platform for new understandings relating to this important composer, including those enabled by access to the Paul Sacher archive. Given the hegemony of Reich’s own very articulate and convincing discourses on his music, as found in his Writings on Music, perhaps “rethinking Reich” is precisely the task that now needs to be undertaken. While recognizing the achievements of a composer who, in critic Andrew Clements’s words, belongs to “a handful of living composers who can legitimately claim to have altered the direction of musical history,” the present volume provides a series of timely, serious, thought-provoking, and critically minded contributions and reappraisals, where the notion of rethinking this important composer’s contribution to the music of the twentieth century remains an abiding concern throughout.
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Book chapters on the topic "Ranging signal acquisition time"

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Kast, C., M. Krenn, W. Aramphianlert, C. Hofer, O. C. Aszmann, and W. Mayr. "Modular Multi-channel Real-time Bio-signal Acquisition System." In International Conference on Advancements of Medicine and Health Care through Technology; 12th - 15th October 2016, Cluj-Napoca, Romania, 95–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52875-5_21.

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Pinti, A. "Real Time Acquisition and Signal Processing on Transputers Application to Electroencephalography." In Computing with T.Node Parallel Architecture, 115–33. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3496-5_9.

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Luu, Loc Gia, Nam Phuong Nguyen, and Toi Vo Van. "Design a Customizable Low-Cost, Matlab Based Wireless Data Acquisition System for Real-Time Physiological Signal Processing." In 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), 313–17. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4361-1_52.

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Bansal, Dipali. "Real-time detection and processing of electromyography signal." In Real-Time Data Acquisition in Human Physiology, 83–109. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-822118-1.00005-9.

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Bansal, Dipali. "Real-time detection and processing of electrocardiogram signal." In Real-Time Data Acquisition in Human Physiology, 111–43. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-822118-1.00003-5.

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Eslami, Akbar. "Real-Time FMCW Radar X-Band Signal Acquisition and Visualization." In Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking, 165–79. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8188-8.ch008.

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The recent developments in the remote sensing technologies have resulted in large amounts of data transmitted from spaceborne sensors. To keep up with the volume, speed, and variety of these data, new data acquisition and visualization systems need to be developed. This chapter focuses on some design and development considerations for a real-time data acquisition and visualization of X-band in a frequency-modulated continuous wave (FMCW) radar. Relevant issues such as high-speed network, parallel data processing system, and large-scale storage system are discussed. Ideally, the acquisition system should be capable of concurrent processing at low cost and visualization technique should be in the same time scale with other conventional 2D visualization of X-band weather radars. Benefits of this type of radar are that it is not just safe and inexpensive, but also serves as a means in filling in gaps of higher-powered pulse-doppler radars when used in conjunction with them.
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"Converters For Different Variables To Frequency-Time Parameters Of The Electric Signal." In Data Acquisition and Signal Processing for Smart Sensors, 29–50. Chichester, UK: John Wiley & Sons, Ltd, 2002. http://dx.doi.org/10.1002/0470846100.ch2.

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Katsibas, Theodoros, Theodoros Semertzidis, Xavier Lacondemine, and Nikos Grammalidis. "Real-Time Signal Acquisition, High Speed Processing and Frequency Analysis in Modern Air Data Measurement Instruments." In Recent Advances in Signal Processing. InTech, 2009. http://dx.doi.org/10.5772/7431.

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Mertens, Ph, B. Becks, and M. Korten. "A FAST SIGNAL ACQUISITION SYSTEM FOR THE TIME RESOLVED LYMAN-ALPHA DIAGNOSTIC ON TEXTOR." In Fusion Technology 1986, 1473–78. Elsevier, 1986. http://dx.doi.org/10.1016/b978-1-4832-8376-0.50204-7.

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Rucks-Ahidiana, Zawadi. "Navigating the Lack of Face Time." In Cases on Critical and Qualitative Perspectives in Online Higher Education, 98–116. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5051-0.ch006.

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The online classroom provides instructors with the ultimate challenge of replicating a face-to-face setting without having actual face time. Both new and experienced online instructors struggle with limited communication and personal connections in the online classroom. Teaching online is missing the visual cues of confused facial expressions and raised hands to signal the need for elaboration or clarification. Additionally, instructors rarely meet their online students or get to know who they are as individuals. In attempting to navigate the differences caused by this lack of personal contact, online instructors take on expanded and new responsibilities, including orienting students to online learning, communicating with students, monitoring student progress, creating community, managing the online course, and providing feedback. This chapter explores the unique challenge of teaching online and how online instructors address their responsibilities with these challenges in mind. Drawing on in-depth qualitative interviews with 23 online instructors from two community colleges, the analysis described below includes insight from instructors from disciplines ranging from Math and Chemistry to English and Humanities with a range of experience in online instruction including first semester online instructors and 10 year veterans.
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Conference papers on the topic "Ranging signal acquisition time"

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Brand, Sebastian, Matthias Petzold, Peter Czurratis, and Peter Hoffrogge. "Extending Acoustic Microscopy for Comprehensive Failure Analysis Applications." In ISTFA 2010. ASM International, 2010. http://dx.doi.org/10.31399/asm.cp.istfa2010p0084.

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Abstract In industrial manufacturing of microelectronic components, non-destructive failure analysis methods are required for either quality control or for providing a rapid fault isolation and defect localization prior to detailed investigations requiring target preparation. Scanning acoustic microscopy (SAM) is a powerful tool enabling the inspection of internal structures in optically opaque materials non-destructively. In addition, depth specific information can be employed for two- and three-dimensional internal imaging without the need of time consuming tomographic scan procedures. The resolution achievable by acoustic microscopy is depending on parameters of both the test equipment and the sample under investigation. However, if applying acoustic microscopy for pure intensity imaging most of its potential remains unused. The aim of the current work was the development of a comprehensive analysis toolbox for extending the application of SAM by employing its full potential. Thus, typical case examples representing different fields of application were considered ranging from high density interconnect flip-chip devices over wafer-bonded components to solder tape connectors of a photovoltaic (PV) solar panel. The progress achieved during this work can be split into three categories: Signal Analysis and Parametric Imaging (SA-PI), Signal Analysis and Defect Evaluation (SA-DE) and Image Processing and Resolution Enhancement (IP-RE). Data acquisition was performed using a commercially available scanning acoustic microscope equipped with several ultrasonic transducers covering the frequency range from 15 MHz to 175 MHz. The acoustic data recorded were subjected to sophisticated algorithms operating in time-, frequency- and spatial domain for performing signal- and image analysis. In all three of the presented applications acoustic microscopy combined with signal- and image processing algorithms proved to be a powerful tool for non-destructive inspection.
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Xinyu Dou, Huaqing Liang, Jiayi Fan, Yang Liu, and Rui Zhang. "A signal acquisition and processing system for cluster wells ranging." In 2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP). IEEE, 2017. http://dx.doi.org/10.1109/optip.2017.8030692.

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Eng, Wilson, Max Kim, Anand Ramasubramanian, and Sang-Joon John Lee. "A Modular Test Platform for Micromechanical Tensile Testing of Soft Biomaterials." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87259.

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Mechanical properties of biomaterials are difficult to characterize experimentally because many relevant biomaterials such as hydrogels are very pliable and viscoelastic. Furthermore, test specimens such as blood clots retrieved from patients tend to be small in size, requiring fine positioning and sensitive force measurement. Mechanobiological studies require fast data recording, preferably under simultaneous microscope imaging, in order to monitor events such as structural remodeling or localized rupture while strain is being applied. A low-profile tensile tester that applies prescribed displacement up to several millimeters and measures forces with resolution on the order of micronewtons has been designed and tested, using alginate as a representative soft biomaterial. 1.5% alginate (cross-linked with 0.1 M and 0.2 M calcium chloride) has been chosen as a reference material because of its extensive use in tissue engineering and other biomedical applications. Prescribed displacement control with rates between 20 μm/s and 60 μm/s were applied using a commercial low-noise nanopositioner. Force data were recorded using data acquisition and signal conditioning hardware with sampling rates as high as 1 kHz. Elongation up to approximately 10 mm and force in the range of 250 mN were measured. The data were used to extract elastic and viscoelastic parameters for alginate specimens. Another biomaterial, 2% agarose, was also tested to show versatility of the apparatus for slightly stiffer materials. The apparatus is modular such that different load cells ranging in capacity from hundreds of millinewtons to tens of newtons can be used. The apparatus furthermore is compatible with real-time microscope imaging, particle tracing, and programmable positioning sequences.
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Gholami, Mohammad Reza, Satyam Dwivedi, Magnus Jansson, and Peter Handel. "Ranging without time stamps exchanging." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178718.

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Albuquerque, Glauberto L. A., Carlos Valderrama, Fabricio Costa Silva, and Samuel Xavier-de-Souza. "Time-effective GPS time domain signal Acquisition Algorithm." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533687.

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Guner, Mustafa, and Burcu Erkmen. "Real-Time, Portable EEG Signal Acquisition System." In 2018 Medical Technologies National Congress (TIPTEKNO). IEEE, 2018. http://dx.doi.org/10.1109/tiptekno.2018.8596984.

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Sarafinas, George A., Alan J. Stein, and Kenneth J. Bisson. "Real-Time Signal Processing Data Acquisition Subsystem." In O-E/Fiber LASE '88, edited by Richard J. Becherer. SPIE, 1989. http://dx.doi.org/10.1117/12.960239.

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Narciso, S. "Signal acquisition using AXIe." In 2010 17th Real-Time Conference - IEEE-NPSS Technical Committee on Computer Applications in Nuclear and Plasma Sciences (RT 2010). IEEE, 2010. http://dx.doi.org/10.1109/rtc.2010.5750388.

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Zhang, Zijing, Yuan Zhao, Jiandong Zhang, longzhu Cen, Shuo Li, Yifei Sun, and Feng Wang. "Ranging accuracy improvement of time-correlated signal-photon counting lidar." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, Jian Yang, Weimin Bao, Weibiao Chen, Zelin Shi, Jindong Fei, Shensheng Han, and Weiqi Jin. SPIE, 2017. http://dx.doi.org/10.1117/12.2292991.

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Sun, Leyuan, Yuan Gao, Wende Huang, Ping Li, Yifan Zhou, and Jun Yang. "Autonomous Time Synchronization Using BeiDou Inter-satellite Link Ranging." In 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2019. http://dx.doi.org/10.1109/icsidp47821.2019.9173506.

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