Relevant bibliographies by topics / Wideband signals

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Wideband signals'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Wideband signals"

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Fengzhen, Zhang, Li Guijuan, Zhang Zhaohui, and Hu Chen. "Doppler shift extraction of wideband signal using spectrum scaling matching." MATEC Web of Conferences 208 (2018): 01001. http://dx.doi.org/10.1051/matecconf/201820801001.

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Doppler shift is an important feature of moving targets. It can be used to extract target velocity, distance, track and other movement parameters. According to the problem of extracting Doppler shift for wideband signals with unstable line spectrum or no line spectrum, we proposed a Doppler shift extraction method for wideband signals based on spectral scaling matching. Firstly, a spectrum reference matrix corresponding to different relative Doppler shift is generated. Then, the matching degree of Doppler signal spectrum and reference matrix is measured by linear correlation coefficient. Finally, the Doppler shift of wideband signals is extracted through matching degree optimization. Simulation results show that the proposed method can extract the Doppler shift characteristics of wideband signals effectively.
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Ahmad, Zeeshan, Yaoliang Song, and Qiang Du. "Wideband DOA estimation based on incoherent signal subspace method." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 3 (May 8, 2018): 1271–89. http://dx.doi.org/10.1108/compel-10-2017-0443.

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Purpose Direction-of-arrival (DOA) estimation for wideband sources has attracted a growing interest in the recent decade because wideband sources are incorporated in many real-world applications such as communication systems, radar, sonar and acoustics. One way to estimate the DOAs of wideband signals is to decompose it into narrowband signals using discrete Fourier transform (DFT) and then apply well-established narrowband algorithms to each signal. Afterwards, results are averaged to yield the final DOAs. These techniques require scanning the full band of wideband sources, ultimately degrading the resolution and increasing complexity. This paper aims to propose a new DOA estimation methodology to solve these problems. Design/methodology/approach The new DOA estimation methodology is based on incoherent signal subspace method (ISSM). The proposed approach presents a criterion to select a single sub-band of the selected narrowband signals instead of scanning the whole signal spectrum. Then, the DOAs of wideband signals are estimated using the selected sub-band. Therefore, it is named as single sub-band (SSB)-ISSM. Findings The computational complexity of the proposed method is much lower than that of traditional DFT-based methods. The effectiveness and advantages of the proposed methodology are theoretically investigated, and computational complexity is also addressed. Originality/value To verify the theoretical analysis, computer simulations are implemented, and comparisons with other algorithms are made. The simulation results show that the proposed method achieves better performance and accurately estimates the DOAs of wideband sources.
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Li, Li. "Cramer-Rao Bound for Parameter Estimation in Bistatic MIMO Radar." Applied Mechanics and Materials 513-517 (February 2014): 3385–88. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3385.

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The problem of Cramér-Rao bound for parameter estimation in wideband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In many applications, it is not appropriate to approximate the wideband signal by the narrowband model. In this paper, we propose a new wideband signal model to accurately estimate parameter for wideband signals from a moving target. The Cramér-Rao bound for target parameter estimation is derived and computed in closed form which shows that the optimal performance is achieved. Target location and parameter estimation performances are evaluated and studied theoretically and via simulations.
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Bogdanovich, V. A., A. G. Vostretsov, and K. Yu Kolomenskiy. "Robust demodulation of wideband signals." Journal of Communications Technology and Electronics 52, no. 7 (July 2007): 765–72. http://dx.doi.org/10.1134/s106422690707008x.

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Ellis, John G., and Bruce L. Townsend. "Transmission of wideband speech signals." Journal of the Acoustical Society of America 93, no. 6 (June 1993): 3540. http://dx.doi.org/10.1121/1.405366.

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Nawab, S., F. Dowla, and R. Lacoss. "Direction determination of wideband signals." IEEE Transactions on Acoustics, Speech, and Signal Processing 33, no. 5 (October 1985): 1114–22. http://dx.doi.org/10.1109/tassp.1985.1164705.

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Zhen, Jiaqi. "Detection of Wideband Signal Number Based on Bootstrap Resampling." International Journal of Antennas and Propagation 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/3856727.

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Knowing source number correctly is the precondition for most spatial spectrum estimation methods; however, many snapshots are needed when we determine number of wideband signals. Therefore, a new method based on Bootstrap resampling is proposed in this paper. First, signals are divided into some nonoverlapping subbands; apply coherent signal methods (CSM) to focus them on the single frequency. Then, fuse the eigenvalues with the corresponding eigenvectors of the focused covariance matrix. Subsequently, use Bootstrap to construct the new resampling matrix. Finally, the number of wideband signals can be calculated with obtained vector sequences according to clustering technique. The method has a high probability of success under low signal to noise ratio (SNR) and small number of snapshots.
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Wei, Hong Kai, Ping Bo Wang, Jing Xiang Yin, and Chun Lei Zhang. "Research on the Performance of Sub-Band STAP for Wideband Interference Suppression." Advanced Materials Research 756-759 (September 2013): 1724–28. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1724.

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Sub-band space-time adaptive processing (STAP), which decomposes the wideband signal using sub-band filter bank, is the common intuitive way to suppress wideband interference. Based on studying angel-frequency distribution characteristics of wideband, sub-band interference and echo signal in space-time plane, the paper gives the physical significance of sub-band interference and echo signals space-time distribution and thus reveals theoretically the fundamental reason for the poor performance of sub-band STAP. Furthermore, the paper outlines the novel way for wideband linear frequency modulation (LFM) interference cancellation in the three-dimensional space-fractional Fourier domain.
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Thanh, Hán Trọng, Nguyen Thanh Chuyen, and Nguyen Xuan Quyen. "DOA Estimation Method for CHAOS Radar System." Journal of Science and Technology: Issue on Information and Communications Technology 17, no. 12.2 (December 9, 2019): 35. http://dx.doi.org/10.31130/ict-ud.2019.84.

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CHAOS signal has been drawing a lot of research interest recently due to its performance in security systems. In this paper, an approach to estimate the direction of target for Distributed Chaos Radar System using Total Forward - Backward Matrix Pencil (TFBMP) algorithm. This algorithm works directly on signal samples of signals received by M – element Uniform Linear Antenna array. Therefore, the correlation between the received signals does not significantly impact on its performance and efficiency. This fact permits us to estimate not only wideband incoherent signals but also wideband coherent signals. Furthermore, this algorithm can also extract the Direction Of Arrival (DOA) with only one snapshot of signal, which means that the sampling frequency in real time receivers can be considerably reduced. The simulation results for DOA of incoming CHAOS signals using the proposed approach will be shown and analyzed to verify its performance.
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He, Bin. "Improved TOPS about Direction of Arrival Estimation for Wideband Signals." Applied Mechanics and Materials 105-107 (September 2011): 2051–54. http://dx.doi.org/10.4028/www.scientific.net/amm.105-107.2051.

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The study about the direction-of-arrival (DOA) estimation for wideband signals is a basic topic of Signal Processing. The method called test of orthogonality of projected subspaces (TOPS) does not require initial values to form focusing matrix compared with the coherent signal subspace method (CSSM), but it has poor performance for coherent wideband signals at low signal-to-noise ratio (SNR). Based on the lack of the conventional TOPS, this paper reconstructs a set of new matrices with the narrowband correlated matrices coming from the DFT decomposition of the array output and modifies the method frame of the conventional TOPS. So we get a set of reconstructed matrices with full rank corresponding to each frequency bin, and which have no array aperture loss. The improved TOPS can estimate the DOA for coherent wideband sources at low SNR, and enhances the performance of the conventional TOPS. Simulation results show that the improved TOPS is effective, and the total performance of which is similar to the rotational signal-subspace (RSS) method.
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Dissertations / Theses on the topic "Wideband signals"

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Zhao, Lu. "Optical transmission of wideband video signals using SWFM." Thesis, University of Manchester, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317775.

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Karousos, A. "The distortion of ultra-wideband signals in the environment." Thesis, University of Surrey, 2008. http://epubs.surrey.ac.uk/843691/.

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The need for higher data rates in wireless communication systems and the lack of available frequency space has led the researchers in developing new technologies, such as UWB. Ultra-wideband systems utilise signals with very short duration and very large bandwidth, from which the benefits are twofold; more information can be exchanged and coexistence with narrowband technologies is possible, as such systems perceive UWB as noise and interference is thus avoided. The increased bandwidth offers multipath resolution, which when properly treated can enhance system's performance and reliability. Signal distortion however, may prohibit system's optimum performance. It is more efficiently treated directly into the time-domain. The lack of information on the propagation of UWB signals in a complex environment, other than single reflected and diffracted waves, was tackled in this work. Easy-to-use and accurate reflection and transmission coefficients for a wave impinging on a dielectric slab were deduced. An algorithm for the prediction of a signal, which is multiply diffracted waves on an number of absorbing knife-edges and/or imperfect conducting wedges was also implemented. The algorithm accurately took into account the arisen higher-order fields, that are created in such cases, according to the Uniform Theory of Diffraction. A tool for signal prediction in a complex environment was constructed, based on the environment discretisation into tiles and segments. Its validity was initially tested for the narrowband case, by comparing its predictions with measurement, with a quite good agreement. Then, it was modified, so as to incorporate the dispersive nature of the channel. This was accomplished in the time-domain, where the TD ray-trace model not only predicts the arrival times of the multipaths but also their shape. The results were compared with measurement data collected with a VNA.
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Jackson, Kevin. "Blind Front-end Processing of Dynamic Multi-channel Wideband Signals." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4692.

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In wireless digital communications, the sender and receiver typically know the modulation scheme with which they will be communicating. Automatic modulation identification is the ability to identify the modulation in a communication system with little to no prior knowledge of the modulation scheme. Many techniques for modulation identification operate on many assumptions including that the input signal is base-banded, the carrier frequency is known and that the signal is narrow-band (i.e. neighboring signals in the wide-band are excluded). This work provides the blind processing of an arbitrary wide-band signal to allow such assumptions. The challenges of such a front-end or pre-processor include detecting signals which can appear at any frequency, with any band-width at any given time and for any arbitrary duration. This work takes as its input a wide-band signal with a random number of sub-signals, each turning on and o at random times and each at random locations in the frequency domain. The output of the system is a collection of signals corresponding to each sub-signal brought down to base-band, isolated in the frequency and time domains, nominally sampled and with estimates of key parameters.
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Weiler, Ruediger Matthias. "Architectures and techniques for improved receiver performance with wideband navigation signals." Thesis, University of Surrey, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510590.

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Kassem, Wafaa Ibrahim. "Direction of arrival estimation and beamforming for narrowband and wideband signals." Thesis, University of Leeds, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418235.

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Issa, Abd Al-Kareem M. "Investigation of the pulse time modulation techniques for transmission of wideband signals." Thesis, Sheffield Hallam University, 1997. http://shura.shu.ac.uk/3094/.

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The choice of the modulation format is the principle factor in realising a highperformance bandwidth efficient communication system at an acceptable cost and complexity. Pulse time modulation technique represents an attractive alternative to purely digital or purely analogue modulation schemes which has received considerable attention over the years. But very little work has been reported on pulse slope modulation. In this work a pulse slope modulation introduced and full wavefonn characteristics is given. A simple novel receiver has been proposed, which is based on converting the PSM waveform into a PAM waveform by sampling the received PSM signal at the rise time interval. This design eliminates the use of a differentiator and a voltage slicer adopted in the classical demodulation technique, and it offers simplicity and improved noise performance. A new signal-t-noise formula has been presented for the first time thus enabling users to predict the system noise performance. Experimental results have shown excellent agreement to within + 1 dB with theoretical predictions using the new formula. Results obtained show the potential of PSM in tenns of simplicity and better noise perfonnance compared to its counter part pulse amplitude modulation. Although PTM has many advantages over analogue and digital schemes when employed as a single channel system, it becomes a challenge when multiplexing is involved. Isochronous PTM schemes are suitable while the anisochronous schemes are not. One solution to overcome this problem is to adopt a hybrid or compound modulation technique, where both isochronous and anisochronous schemes can be combined. Compound frequency and width modulation (CPFWM) is one such a scheme which offers bandwidth efficiency, simplicity and low cost over the more commonly used multiplexed techniques. Detailed investigation of CPFWM has been given and in an expression for its spectrum has been developed. The results obtained have been clarified practically and by means of computer simulation to within + 1 dB. In CPFWM, cross talk in the PFM and pWM channels are due to width modulation and frequency modulation, respectively. The main cause of cross talk is the carryover energy from one edge to the next edge. This effect is studied and he results obtained for the cross talk are compared with the predicted data showing an agreement to within + 1 dB. Results were also compared with time division multiplexed pulse position modulation, showing comparable performance and under certain conditions CPFWM offering better performance. Noise performance of PFM and PWM channels has been theoretically and experimentally investigated. It has been shown that PFM is superior to PWM over a wide range of modulation indices and pulse characteristics. When both channels are identical in bandwidth and modulation conditions, PFM offers a 7 dB improvement compared to PWM channel. The noise perfonnance of CPFWM system is also compared with digital and analogue modulation schemes. For 25 dB CNR CPFWM offers a 40 dB SNR which is 20 dB higher than amplitude modulation, 1 7 dB lower than PCM system. At CNR > 35 dB its performance approaches that of PCM system. Thus showing the potential of the scheme.
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Dimopoulos, Ilias K. "Simultaneous wideband transmission of five FDM signals over a fiber optic link." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/27268.

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Li, Chang. "Non-contract Estimation of Respiration and Heartbeat Rate using Ultra-Wideband Signals." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/34990.

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The use of ultra-wideband (UWB) signals holds great promise for remote monitoring of vital-signs which has applications in the medical, for first responder and in security. Previous research has shown the feasibility of a UWB-based radar system for respiratory and heartbeat rate estimation. Some simulation and real experimental results are presented to demonstrate the capability of the respiration rate detection. However, past analysis are mostly based upon the assumption of an ideal experiment environment. The accuracy of the estimation and interference factors of this technology has not been investigated.

This thesis establishes an analytical framework for the FFT-based signal processing algorithms to detect periodic bio-signals from a single target. Based on both simulation and experimental data, three basic challenges are identified: (1) Small body movement during the measurement interval results in slow variations in the consecutive received waveforms which mask the signals of interest. (2) The relatively strong respiratory signal with its harmonics greatly impact the detection of heartbeat rate. (3) The non-stationary nature of bio-signals creates challenges for spectral analysis. Having identified these problems, adaptive signal processing techniques have been developed which effectively mitigate these problems. Specifically, an ellipse-fitting algorithm is adopted to track and compensate the aperiodic large-scale body motion, and a wavelet-based filter is applied for attenuating the interference caused by respiratory harmonics to accurately estimate the heartbeat frequency. Additionally, the spectrum estimation of non-stationary signals is examined using a different transform method. Results from simulation and experiments show that substantial improvement is obtained by the use of these techniques.

Further, this thesis examines the possibility of multi-target detection based on the same measurement setup. Array processing techniques with subspace-based algorithms are applied to estimate multiple respiration rates from different targets. The combination of array processing and single- target detection techniques are developed to extract the heartbeat rates. The performance is examined via simulation and experimental results and the limitation of the current measurement setup is discussed.
Master of Science

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Liu, Feiran. "High Frequency Resolution Adaptive Thresholding Wideband Receiver System." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1451042587.

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Sargeant, H. "PREDETECTION RECORDING TECHNIQUES FOR GPS SIGNALS." International Foundation for Telemetering, 1986. http://hdl.handle.net/10150/615545.

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International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, Nevada
Predetection recording of spread-spectrum (SS) signals such as GPS transmissions is a desirable objective for both users and developers of equipment designed to receive such signals. (GPS user-equipment development is a lengthy process during which signal simulators are only partially useful.) Upon playback, GPS signals are used by the same or modified receivers so that acquisition, processing, detection and tracking loops can be altered to optimize the receiver parameters. Development of predetect SS signal recording systems is difficult to achieve in practice. Such systems not only must be of suitable phase linearity to preserve the signal content to be extracted but sometimes must also preserve the exact signal-to-noise ratio (SNR) characteristics of the recorded signals. Existing conventional test equipment is unsuitable for deriving value judgments of the quality of a predetect recording system’s output because the SS signal has a negative SNR. This paper reveals that it is possible to use, for this purpose, tape recorders now available on many test ranges in combination with auxiliary equipment similar to that designed for the U.S. Navy’s TRIDENT Program (recording C/A-code data from in-flight missile translators). The basic techniques are described in some detail to enable potential users to understand the necessary equipment concepts and evaluate the author’s approach in terms of their own applications.
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Books on the topic "Wideband signals"

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B, Michael L., and Kohno R, eds. Ultra-wideband signals and systems in communication engineering. Chichester: John Wiley & Sons, 2004.

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Ghavami, M. Ultra Wideband Signals and Systems in Communication Engineering. New York: John Wiley & Sons, Ltd., 2005.

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Ghavami, M., L. B. Michael, and R. Kohno. Ultra Wideband Signals and Systems in Communication Engineering. Chichester, UK: John Wiley & Sons, Ltd, 2004. http://dx.doi.org/10.1002/0470867531.

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Pantzaris, P. P. Digital generation of wideband chirp signals for channel characterisation. Manchester: UMIST, 1993.

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Nikandrou, N. C. Digital generation of wideband chirp signals for channel characterisation. Manchester: UMIST, 1996.

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N, Boules Raouf, and Hussain Malek G. M, eds. Electromagnetic signals: Reflection, focusing, distortion, and their practical applications. New York: Kluwer Academic/Plenum Publishers, 1999.

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International Workshop on Ultrawideband and Ultrashort Impulse Signals (2nd 2004 Sevastpol, Ukraine). UWBUSIS 2004: 2004 Second International Workshop [on] Ultrawideband and Ultrashort Impulse Signals : September 19-22, 2004, Sevastopol, Ukraine. Piscataway, NJ: IEEE, 2004.

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UWBUSIS 2006 (2006 Sevastopolʹ, Ukraine). The third international conference, ultrawideband and ultrashort impulse signals: UWBUSIS 2006, September 19-22, 2004, Sevastopol, Ukraine. Piscataway, NJ: IEEE, 2006.

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International Conference on Ultrawideband and Ultrashort Impulse Signals (4th 2008 Sevastopolʹ ,Ukraine). 2008 4th International Conference on Ultrawideband and Ultrasho[r]t Impulse Signals: UWBUSIS 2008 : September 15-19, 2008, Sevastopol, Ukraine. [United States]: IEEE, 2008.

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Tsui, James Bao-yen. Digital techniques for wideband receivers. Boston: Artech House, 1995.

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Book chapters on the topic "Wideband signals"

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Naeem, Umair, and Vincent Fusco. "Wideband Antennas." In Signals and Communication Technology, 5–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74311-6_2.

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Molisch, Andreas F. "Introduction to UWB Signals and Systems." In Ultra-Wideband, 1–17. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470056843.ch1.

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Yang, Liuqing, and Huilin Xu. "Wireless Localization Using Ultra-Wideband Signals." In Handbook of Position Location, 245–77. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch8.

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Liu, Deliang, Xiwei Guo, Peng He, and Shen Zhao. "DOA Estimation for Wideband Chirp Signals." In Lecture Notes in Electrical Engineering, 615–23. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3229-5_65.

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Adamiuk, Grzegorz, Jens Timmermann, Christophe Roblin, Wouter Dullaert, Philipp Gentner, Klaus Witrisal, Thomas Fügen, Ole Hirsch, and Guowei Shen. "RF Aspects in Ultra-WideBand (UWB) Technology." In Signals and Communication Technology, 249–98. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2315-6_6.

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Cloude, S. R., P. D. Smith, A. Milne, D. M. Parkes, and K. Trafford. "Analysis of Time Domain Ultra Wideband Radar Signals." In Ultra-Wideband, Short-Pulse Electromagnetics, 445–56. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2870-8_51.

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Zhao, Chenkai, and Jing Liang. "Compressed Sensing in Soil Ultra-Wideband Signals." In Lecture Notes in Electrical Engineering, 770–77. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_93.

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Haq, Muhammad Aziz ul, Slawomir Koziel, and M. Arif Khan. "High-Isolation Compact Wideband MIMO Antennas for 5G Wireless Communication." In Signals and Communication Technology, 131–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74311-6_5.

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Sunitha, K., M. Joy Thomas, and D. V. Giri. "Coupling of Hyperband Signals with an Underground Cable." In Ultra-Wideband, Short-Pulse Electromagnetics 10, 331–41. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9500-0_30.

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Sarytchev, V. A., and G. B. Katchalova. "Polarization Structure of Ultra-Wide-Band Radar Signals." In Ultra-Wideband, Short-Pulse Electromagnetics 3, 477–83. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-6896-1_55.

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Conference papers on the topic "Wideband signals"

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Feldman, Michael. "Decomposition and Analysis of Non-Stationary Dynamic Signals Using the Hilbert Transform." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59201.

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This paper describes a new technique, called the Hilbert Vibration Decomposition method, dedicated to decomposition of non-stationary wideband dynamic signals. Using the Hilbert transform in the time domain, we extract a number of elementary oscillating components of the initial signal, who’s both the instantaneous frequency and envelope can vary in time. Modeling examples of decomposition of non-stationary signals are included.
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Syvozalizov, N. A. "Ultra wideband signals spectral analysis." In 2010 5th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS). IEEE, 2010. http://dx.doi.org/10.1109/uwbusis.2010.5609108.

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Ozdil, O., M. Ispir, I. E. Ortatatli, and A. Yildirim. "Channelized DRFM for Wideband Signals." In IET International Radar Conference 2015. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/cp.2015.1266.

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Pokrajac, Ivan P., and Desimir Vucic. "Signal selective direct positioning algorithm of wideband cyclostationary signals." In TELSIKS 2011 - 2011 10th International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services. IEEE, 2011. http://dx.doi.org/10.1109/telsks.2011.6143172.

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Gerrits, John F. M., John R. Farserotu, and John R. Long. "Multipath Behavior of FM-UWB Signals." In 2007 IEEE International Conference on Ultra-Wideband. IEEE, 2007. http://dx.doi.org/10.1109/icuwb.2007.4380934.

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Chernogor, L. F., and O. V. Lazorenko. "Radar equation for ultra-wideband signals." In 2012 6th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS). IEEE, 2012. http://dx.doi.org/10.1109/uwbusis.2012.6379724.

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Wang, Xing, Wenbin Guo, Yang Lu, and Wenbo Wang. "Adaptive Compressive Sampling for Wideband Signals." In 2011 IEEE Vehicular Technology Conference (VTC 2011-Spring). IEEE, 2011. http://dx.doi.org/10.1109/vetecs.2011.5956461.

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Esman, R. D., and A. S. Lenihan. "Photonic processing of ultra-wideband signals." In 2015 IEEE Photonics Society Summer Topical Meeting Series (SUM). IEEE, 2015. http://dx.doi.org/10.1109/phosst.2015.7248264.

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Casey, Stephen D., and Howard S. Cohl. "Sampling architectures for ultra-wideband signals." In 2017 International Conference on Sampling Theory and Applications (SampTA). IEEE, 2017. http://dx.doi.org/10.1109/sampta.2017.8024452.

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Berube, Parker, and Scott. "Array Processing For Wideband Biological Signals." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.592758.

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Reports on the topic "Wideband signals"

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Yang, Liuqing, and John Harris. Location and Navigation with Ultra-Wideband Signals. Fort Belvoir, VA: Defense Technical Information Center, June 2012. http://dx.doi.org/10.21236/ada564175.

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Fitzgerald, T. J. Measurements of ionospheric effects on wideband signals at VHF. Office of Scientific and Technical Information (OSTI), August 1998. http://dx.doi.org/10.2172/334342.

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Kay, Steven, and Naresh Vankayalapati. Wideband Signal De-Interleaving (WSD). Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada559192.

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Zhou, Daniel. Wideband Cooperative Spectrum Sensing and Signal Detection (Briefing Slides). Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ada587302.

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Litz, Marc S., Daniel C. Judy, Doug M. Weidenheimer, and Bruce Jenkins. Compact Impulse Source for Wideband Signal Calibrations and General Laboratory Use. Fort Belvoir, VA: Defense Technical Information Center, April 2000. http://dx.doi.org/10.21236/ada377611.

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Farr, Everett G., and Charles A. Frost. Ultra-Wideband Antennas and Propagation. Volume 2: Antenna Measurements and Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, July 1997. http://dx.doi.org/10.21236/ada328787.

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Nguyen, Lam. Signal Processing Technique to Remove Signature Distortion in ARL Synchronous Impulse Reconstruction (SIRE) Ultra-Wideband (UWB) Radar. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada478887.

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Pizzillo, Thomas J., and Jerry Silvious. An Analytic Description of a Harmonic Decomposition Technique for Correcting Signal Errors Due to Wideband Radar Phase Detector. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada390876.

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Nguyen, Lam. Signal and Image Processing Algorithms for the U.S. Army Research Laboratory Ultra-wideband (UWB) Synchronous Impulse Reconstruction (SIRE) Radar. Fort Belvoir, VA: Defense Technical Information Center, April 2009. http://dx.doi.org/10.21236/ada496571.

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Affo, Abdel. Aperture and Receiver Technology. Delivery Order 0002: Bandwidth Invariant Spatial Processing. Volume 2. Digital Signal Processor (DSP) Based Implementation of Direction of Arrival (DOA) for Wideband Sources. Fort Belvoir, VA: Defense Technical Information Center, May 2007. http://dx.doi.org/10.21236/ada470116.

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