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Journal articles on the topic 'Adaptive signal transmission'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Ye, Diwen. "Adaptive simulation of digital signal transmission." Applied and Computational Engineering 34, no. 1 (2024): 132–38. http://dx.doi.org/10.54254/2755-2721/34/20230312.

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High-order modulated signals have lower anti-interference ability than low-order modulated signals with the same modulation method and conditions. In situations with low signal-to-noise ratios, the quality of high-order signals can degrade significantly. An algorithm capable of intelligently switching the modulation order based on the current signal-to-noise ratio can effectively address this issue. This paper presents an adaptive signal transmission algorithm that intelligently selects different orders of Phase shift keying (PSK) modulation depending on varying signal noise ratio (SNR) condit

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Várkonyi-Kóczy, Annamária R. "Adaptive Anytime Data Transmission of Non-Stationary Signals." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 3 (2010): 240–46. http://dx.doi.org/10.20965/jaciii.2010.p0240.

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The never unseen information explosion in data transmission and communication called for new methods in signal coding and reconstruction. To minimize the channel capacity needed for the transmission urged researchers to find techniques which are flexible and can adapt to the available space and time. Anytime techniques are good candidates for such purposes. If the signal/data to be transmitted can be characterized as sequence of stationary intervals overcomplete signal representations can be applied. These techniques can be operated in an anytime manner as well, i.e., are excellent tools for h

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Itoh, N., and T. Tokumoto. "An adaptive equalizer for MUSE signal transmission." IEEE Transactions on Consumer Electronics 36, no. 3 (1990): 238–46. http://dx.doi.org/10.1109/30.103128.

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Wang, Zhiwen, Shouwang Sun, Yiwei Li, Zixiang Yue, and Youliang Ding. "Distributed Compressive Sensing for Wireless Signal Transmission in Structural Health Monitoring: An Adaptive Hierarchical Bayesian Model-Based Approach." Sensors 23, no. 12 (2023): 5661. http://dx.doi.org/10.3390/s23125661.

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Signal transmission plays an important role in the daily operation of structural health monitoring (SHM) systems. In wireless sensor networks, transmission loss often occurs and threatens reliable data delivery. The massive amount of data monitoring also leads to a high signal transmission and storage cost throughout the system’s service life. Compressive Sensing (CS) provides a novel perspective on alleviating these problems. Based on the sparsity of vibration signals in the frequency domain, CS can reconstruct a nearly complete signal from just a few measurements. This can improve the robust

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Sudaradjat, Djadjat, and Andi Rosano. "Adaptive Delta Modulation Simulation and Analysis Using MatLab." Paradigma - Jurnal Komputer dan Informatika 25, no. 2 (2023): 89–93. http://dx.doi.org/10.31294/p.v25i2.2151.

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    The system for converting analog signals to digital signals has become a necessity, considering that the tools currently used are digital computers. One of the analog-to-digital conversion systems is the delta modulation system. In delta modulation, only one bit is used to encode each change in the input signal, where a rising signal is encoded into a one bit and a falling signal is encoded into a zero bit. This can save the bit rate which, when transmitted over the transmission channel, can save the transmission bandwidth, and when stored in computer storage media,

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He, Jingang, Hang Yuan, Zhong Su, Bin Zhao, Zhe Kuang, and Pengfei Song. "Analysis of Information Transmission Characteristics Based on Adaptive Ground Electrode Current Field." Applied Sciences 13, no. 7 (2023): 4297. http://dx.doi.org/10.3390/app13074297.

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The information transmission mechanism of the ground electrode current field uses a very low-frequency electrical signal, which is applied to the two electrodes driven into the soil layer or the collapsed body of the tunnel to form a current field in the rock layer or soil layer. Signal detection is created via the strong penetration of wireless information transmission. This research focuses on various electromagnetic effects, such as polarization, magnetization, and the transmission of electromagnetic waves under the influence of different media, such as rock, sand, reinforced concrete, and

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Zou, Dong Lan. "Research on the Sensor Coarse Signal Processing Model Based on Adaptive Genetic Algorithm." Applied Mechanics and Materials 443 (October 2013): 342–45. http://dx.doi.org/10.4028/www.scientific.net/amm.443.342.

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With the rapid development of electronic information science and network transmission technology, the signal processing technology has been widely applied to various fields, which is the most important component of signal detection and transmission, and the key signal processing technology for processing sensor crude signals. Based on this, the experimental system of sensor coarse signal processing model is established, and in the experimental system, the transformer can carry out signal recognition for voltage and current, the use of PC microcontroller and embedded AD converter carries out an

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Mohamed, Ibrahim M. M., and Saif AL-Islam Ateeya AL-Salheen. "A survivable Point-to-Point (PTP) Wireless Transmission Based On Adaptive Coding and Modulation (ACM) Technique." Al-Mukhtar Journal of Engineering Research 7, no. 1 (2024): 12–19. http://dx.doi.org/10.54172/jszswq55.

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Wireless transmission can be affected by severe weather conditions such as heavy rain. Such a temporary weather condition leads to decrease the received power and thus reduce the signal-to-noise ratio, which degrades the overall performance. In some cases, in which a high bit rate is being transmitted where a specific amount of signal-to-noise ratio is required, the wireless transmission drops down completely. Adaptive Coding and Modulation technique could provide the feature of adaptation during transmission. In Adaptive Coding and Modulation, transmission parameters such as modulation scheme

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Song, Dingyu. "Feature Extraction Method of Transmission Signal in Electronic Communication Network Based on Symmetric Algorithm." Symmetry 11, no. 3 (2019): 410. http://dx.doi.org/10.3390/sym11030410.

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Because the existing methods extract the signal characteristics of electronic communication networks, there is a problem of poor extraction. In this paper, a feature extraction method based on symmetric algorithm for transmission signals in electronic communication networks is proposed. The transmission signal in the time domain is decomposed by three-layer wavelet packet decomposition through threshold denoising and data dimension reduction. The adaptive floating threshold is used as a threshold to quantify the wavelet coefficients of the signal, which can effectively remove noise while retai

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Cho, John Y. N. "Multi-PRI Signal Processing for the Terminal Doppler Weather Radar. Part II: Range–Velocity Ambiguity Mitigation." Journal of Atmospheric and Oceanic Technology 22, no. 10 (2005): 1507–19. http://dx.doi.org/10.1175/jtech1805.1.

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Abstract Multiple pulse-repetition interval (multi-PRI) transmission is part of an adaptive signal transmission and processing algorithm being developed to combat range–velocity (RV) ambiguity for the Terminal Doppler Weather Radar (TDWR). In Part I of this two-part paper, an adaptive clutter filtering procedure that yields low biases in the moments estimates was presented. In this part, algorithms for simultaneously providing range-overlay protection and velocity dealiasing using multi-PRI signal transmission and processing are presented. The effectiveness of the multi-PRI RV ambiguity mitiga

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Wang, Huadong. "A Synchronous Transmission Method for Array Signals of Sensor Network under Resonance Technology." Traitement du Signal 37, no. 4 (2020): 579–84. http://dx.doi.org/10.18280/ts.370405.

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The traditional transmission methods for array signals face problems like signal loss and inaccurate output, due to the inadequacy of signal processing. To solve the problems, this paper presents a synchronous transmission method for array signals of sensor network under resonance technology. For better transmission efficiency, the array signals were collected through three-node collaboration in the sensor network, and denoised through wavelet transform. After that, the abnormal nodes in the sensor network were detected to improve transmission accuracy. On this basis, vibration frequency of th

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Fedosov, Valentin, Andrey Legin, and Anna Lomakina. "Adaptive algorithm for wireless data transmission (including images) based on SISO system and OFDM technique." Serbian Journal of Electrical Engineering 15, no. 3 (2018): 353–64. http://dx.doi.org/10.2298/sjee1803353f.

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The efficiency of wireless systems to transmit information in a complex interference situation is one of the main indicators of the effectiveness of the system, which can be characterized by the probability of an error in the transmitted message. This characteristic depends on the interference situation of the communication channel and the nature of the signals propagation in the medium. If the medium has a multi-path character, the signal interferes with the receiving antenna, causing signal fading. So the developer of wireless communication devices is faced with the task of increasing the no

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LIBEROVSKIY, NIKITA Y., VLADIMIR S. PRIPUTIN, and DENIS S. CHIROV. "A REVIEW OF RESEARCH ON ADAPTIVE BEAMFORMING AND DIGITAL SIGNAL PROCESSING." H&ES Research 13, no. 6 (2021): 16–21. http://dx.doi.org/10.36724/2409-5419-2021-13-6-16-21.

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Introduction: Recently, there has been an active development of algorithms for adaptive beamforming. Such work is required in order to improve the efficiency of receiving a useful signal, especially in mobile communication systems. This article provides an overview of research on this topic. Papers devoted to the improvement of the classical least mean square algorithm, blind signal separation methods, antenna selection algorithms in MIMO systems and other topics of adaptive signal processing are presented. Practical relevance: Adaptive beamforming is a key development for modern wireless comm

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Wu, Xingchen, and Guodong Lee. "WAVE communication based on improved NLMS adaptive filtering delay compensation method*." Journal of Physics: Conference Series 2216, no. 1 (2022): 012065. http://dx.doi.org/10.1088/1742-6596/2216/1/012065.

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Abstract In order to improve the signal quality of the Wireless Access Vehicle Environment (WAVE), in this paper, the dynamic step factor is introduced into the Normalized Least Mean Square (NLMS) algorithm based on multi-step step descent, so that the algorithm has a wide dynamic adaptive range. And an improved NLMS adaptive filtering method is proposed to reduce the noise of the communication signal of the WAVE system. At the same time, by introducing the unit delay operator z −Δ of the adaptive FIR filter and the transmission delay t p of the WAVE system, a delay compensation function is co

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Ou, Jianping, Jun Zhang, and Ronghui Zhan. "Processing Technology Based on Radar Signal Design and Classification." International Journal of Aerospace Engineering 2020 (January 17, 2020): 1–19. http://dx.doi.org/10.1155/2020/4673763.

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It is well known that the application of radar is becoming more and more popular with the development of the signal technology progress. This paper lists the current radar signal research, the technical progress achieved, and the existing limitations. According to radar signal respective characteristics, the design and classification of the radar signal are introduced to reflect signal’s differences and advantages. The multidisciplinary processing technology of the radar signal is classified and compared in details referring to adaptive radar signal process, pulse signal management, digital fi

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Xu, Tianheng, Mengying Zhang, Sha Yao, Honglin Hu, and Hsiao-Hwa Chen. "Adaptive Signal Detection for Statistical Signal Transmission in Fast Time-Varying Channels." IEEE Transactions on Vehicular Technology 66, no. 12 (2017): 11070–85. http://dx.doi.org/10.1109/tvt.2017.2728721.

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Cárdenas-Valdez, José Ricardo, Ángel Humberto Corral-Domínguez, Manuel de Jesús García-Ortega, Andrés Calvillo-Téllez, Carlos Hurtado-Sánchez, and Everardo Inzunza-González. "EMG signal transmission system under RF schemes." Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI 11, Especial4 (2023): 277–82. http://dx.doi.org/10.29057/icbi.v11iespecial4.11413.

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With the rise in pathological conditions during the post-pandemic era, particularly concerning the management of biomedical signals, a significant surge has been observed. This research endeavors to develop a self-adaptive algorithm for the discretization and data encapsulation of electromyographic (EMG) signals. The synthetic signal used for analysis is acquired from the PhysioNet database, specifically focusing on the implementation of the tibialis anterior muscle. A transmission chain is established utilizing the AD9361 transceiver, while a power amplifier is employed for base radio applica

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Liu, Wenyao, Xuehen Chen, Miao Liu, and Yanqing Hong. "Bidirectional Atmospheric Channel Reciprocity-Based Adaptive Power Transmission." Photonics 10, no. 10 (2023): 1067. http://dx.doi.org/10.3390/photonics10101067.

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In atmosphere free-space optical communication (FSO) systems, the scintillation effect produced by turbulence effects increases the bit error rate (BER) of the communication system and reduces the system’s performance. However, a high correlation of turbulent noise occurs in the two transmission channels when a signal transmitted in the bidirectional atmospheric channel with channel reciprocity. The performance of the FSO system can be increased by extracting channel state information (CSI) in forward transmission and using adaptive power technology to reduce turbulence in inverse transmission

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19

Andrievsky, B. "Adaptive synchronization methods for signal transmission on chaotic carriers." Mathematics and Computers in Simulation 58, no. 4-6 (2002): 285–93. http://dx.doi.org/10.1016/s0378-4754(01)00373-1.

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Irie, Kazunari, and Ryozo Kishimoto. "Adaptive sub-band DCT coding for HDTV signal transmission." Signal Processing: Image Communication 2, no. 3 (1990): 333–41. http://dx.doi.org/10.1016/0923-5965(90)90009-7.

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Africa, Aaron Don M., Rica Rizabel M. Tagabuhin, and Jan Jayson S. D. Tirados. "Design and simulation of an adaptive beam smart antenna using MATLAB." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 3 (2021): 1584–93. https://doi.org/10.11591/ijeecs.v21.i3.pp1584-1593.

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Signals transmitted over a long range of distance may pass through several obstacles and scatter, taking multiple paths to reach the receiver. Beamforming antennas are controlled electronically to adjust the radiation pattern following the first received signal. This allows the antenna to maximize the received signal and consequently, suppress the interfering signals received. A smart antenna should be able to diminish noise, increase the signal to noise ratio, and have better system competence. The adaptive beam makes use of the spacing of the several antennas and the phase of the signal of e

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AISHAH, Siti. "Optimizing System Performance with Adaptive Algorithms for Signal Processing in Wireless Communication Networks." Journal of Computer, Signal, and System Research 1, no. 1 (2024): 9–19. https://doi.org/10.70088/9bey7t47.

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In modern wireless communication networks, the need for high-speed, reliable, and efficient data transmission is paramount. Signal processing algorithms play a critical role in optimizing network performance, especially under dynamic conditions such as varying network loads and environmental interference. This paper presents an in-depth study of adaptive signal processing algorithms designed to improve the performance of wireless communication systems. We examine various techniques, including adaptive filtering, channel estimation, and interference cancellation, and assess their effectiveness

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Ye, Neng, Aihua Wang, Xiangming Li, Wenjia Liu, Xiaolin Hou, and Hanxiao Yu. "Rate-Adaptive Multiple Access for Uplink Grant-Free Transmission." Wireless Communications and Mobile Computing 2018 (July 3, 2018): 1–21. http://dx.doi.org/10.1155/2018/8978207.

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Grant-free transmission, which simplifies the signaling procedure via uplink instant transmission, has been recognized as a promising multiple access protocol to address the massive connectivity and low latency requirements for future machine type communications. The major drawback of grant-free transmission is that the contaminations among uncoordinated transmissions can reduce the data throughput and deteriorate the outage performance. In this paper, we propose a rate-adaptive multiple access (RAMA) scheme to tackle the collision problems caused by the grant-free transmission. Different from

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Cai, Zhixin, Zhang Dang, Ming Wen, Yong Lv, and Haochun Duan. "Application of Compressed Sensing Based on Adaptive Dynamic Mode Decomposition in Signal Transmission and Fault Extraction of Bearing Signal." Machines 10, no. 5 (2022): 353. http://dx.doi.org/10.3390/machines10050353.

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Bearings are widely used in mechanical equipment; nevertheless, potential dangers are also widespread, making bearing fault detection very important. For large equipment, the amount of collected signals tends to be huge, which challenges both signal transmission and storage. To solve this problem, compressed sensing (CS), based on specific dynamic modes of adaptive truncated rank dynamic mode decomposition (ADMD), is adopted to achieve the purpose of compressing and transmitting the signal, as well as extracting fault features. Firstly, this paper has proposed a new fitness function, which is

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Travediu, Ana-Maria. "Improve channel signal quality using adaptive filters." Scientific Bulletin of Naval Academy XXIII, no. 1 (2020): 90–96. http://dx.doi.org/10.21279/1454-864x-20-i1-012.

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A channel can be modelled by trying to calculate the physical processes which modify the transmitted signal. In this article we simulated the adaptive equalization of some communication channels. A system of data transmission in the basic band will be considered in order to illustrate the principle of adaptive equalization. In such a system, the data sequence is applied, upon emission, to a formation filter( low pass filter), with the purpose of limiting the occupied bandwidth. A relatively wide band noise is also introduced on the communication channel. The transmission channel can also be mo

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Kang, Kyungtae. "An Adaptive Framework for Real-Time ECG Transmission in Mobile Environments." Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/678309.

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Wireless electrocardiogram (ECG) monitoring involves the measurement of ECG signals and their timely transmission over wireless networks to remote healthcare professionals. However, fluctuations in wireless channel conditions pose quality-of-service challenges for real-time ECG monitoring services in a mobile environment. We present an adaptive framework for layered coding and transmission of ECG data that can cope with a time-varying wireless channel. The ECG is segmented into layers with differing importance with respect to the quality of the reconstructed signal. According to this observati

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M. Africa, Aaron Don, Rica Rizabel M. Tagabuhin, and Jan Jayson S. D. Tirados. "Design and simulation of an adaptive beam smart antenna using MATLAB." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 3 (2021): 1584. http://dx.doi.org/10.11591/ijeecs.v21.i3.pp1584-1593.

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<span id="docs-internal-guid-ad3b6b0d-7fff-2d92-685e-3d423ac2713f"><span>Signals transmitted over a long range of distance may pass through several obstacles and scatter, taking multiple paths to reach the receiver. Beamforming antennas are controlled electronically to adjust the radiation pattern following the first received signal. This allows the antenna to maximize the received signal and consequently, suppress the interfering signals received. A smart antenna should be able to diminish noise, increase the signal to noise ratio, and have better system competence. The adaptive b

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Iniyavan, R., and B. Vijayalakshmi. "Design and Development of Improved Coyote Optimization-based Adaptive Equalization Technique for ECG Signal Transmission." ECTI Transactions on Electrical Engineering, Electronics, and Communications 21, no. 1 (2023): 248608. http://dx.doi.org/10.37936/ecti-eec.2023211.248608.

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Biological signals such as an electrocardiogram (ECG) are broadcast directly through wireless devices and mobile networks during patients' real-time activities and over limitless distances. However, the transmission of signals through a limited band channel or over multi-propagation suffers from limitations such as inter-symbol interference (ISI). In channel output, the adjacent symbols smudge and integrate with each other by degenerating during error analysis. Equalization filters are used to improve such kinds of deformation. A new adaptive equalization approach is proposed in this paper to

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Ekpenyong, A. E., and Yih-Fang Huang. "Feedback Constraints for Adaptive Transmission." IEEE Signal Processing Magazine 24, no. 3 (2007): 69–78. http://dx.doi.org/10.1109/msp.2007.361603.

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Wu, Jing, Cheng Jin, and Ziwu Wang. "Linear Anti-interference Algorithm for Digital Signal Transmission in Fiber Optic Communication Networks based on Link Analysis." Scalable Computing: Practice and Experience 25, no. 2 (2024): 920–27. http://dx.doi.org/10.12694/scpe.v25i2.2607.

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In order to achieve accurate transmission of protection signals in fiber optic communication networks, it is necessary to perform channel balancing configuration of fiber optic communication networks and adaptive forwarding control processing of relay protection signals, the author proposes an accurate transmission method for relay protection signals in fiber optic communication networks based on time-varying multipath fading suppression and adaptive beamforming. The system analyzes the sources of wireless long-distance pain signal interference signals, introduces anti-interference technologie

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Cui, Qimei, Hengguo Song, Hui Wang, Mikko Valkama, and Alexis A. Dowhuszko. "Capacity Analysis of Joint Transmission CoMP With Adaptive Modulation." IEEE Transactions on Vehicular Technology 66, no. 2 (2016): 1876–81. https://doi.org/10.1109/TVT.2016.2564106.

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Joint transmission (JT)-based Coordinated Multipoint (CoMP) systems achieve high performance gains by allowing full coordination among multiple cells, transforming unwanted intercell interference into useful signal power. In this paper, we present an analytical model to perform adaptive modulation for a typical JT CoMP system, consisting of three transmission points, under a target bit error rate (BER) constraint. Probability density functions of the signal-to-interference-plus-noise ratio (SINR) are derived for different JT CoMP schemes, and based on them, closed-form expressions for the aver

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Schamel, Günter. "Adaptive signal processing for digital HDTV 280 Mbit/s transmission." Signal Processing 15, no. 3 (1988): 335–50. http://dx.doi.org/10.1016/0165-1684(88)90022-9.

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Zhao, Bai-Shan, Peng-Fei Lv, and Yan-Qing Hong. "Channel Correlation-Based Adaptive Power Transmission for Free-Space Optical Communications." Photonics 11, no. 9 (2024): 859. http://dx.doi.org/10.3390/photonics11090859.

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Free-space optical (FSO) communication has received widespread attention as a high-bandwidth, low-latency communication technique. However, the scintillation effect caused by atmospheric turbulence leads to intensity fluctuations of the transmission signal, which, in turn, affects the performance of the FSO communication system. This paper proposes a channel correlation-based adaptive power transmission for FSO communications. Based on the correlation between uplink and downlink turbulence channels, the power of the reverse transmission signal is adjusted by the fluctuation strength of the rec

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Doan Trung Thanh, Vu Hai Lang, Tran Quang Giang, and Bach Nhat Hoang. "Research on developing an adaptive algorithm for enhancing the quality of underwater positioning based on the sonar USBL principle." Journal of Military Science and Technology, CSCE7 (December 30, 2023): 81–89. http://dx.doi.org/10.54939/1859-1043.j.mst.csce7.2023.81-89.

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The paper proposes an enhanced solution for improving the accuracy of underwater object positioning based on the Ultra-Short Baseline (USBL) sonar principle. In shallow water regions, complex hydrological phenomena affect the quality of underwater acoustic signal transmission and reception, making it essential to enhance the processing of these signal groups. Through the USBL system model, the paper presents a model capable of adaptively selecting accurate signals amidst the noisy underwater environment. The proposed model is implemented and validated in practice using FPGA hardware in Lan Ha

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Wu, Jianhong, Hossein Zivari-Piran, John D. Hunter, and John G. Milton. "Projective Clustering Using Neural Networks with Adaptive Delay and Signal Transmission Loss." Neural Computation 23, no. 6 (2011): 1568–604. http://dx.doi.org/10.1162/neco_a_00124.

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We develop a new neural network architecture for projective clustering of data sets that incorporates adaptive transmission delays and signal transmission information loss. The resultant selective output signaling mechanism does not require the addition of multiple hidden layers but instead is based on the assumption that the signal transmission velocity between input processing neurons and clustering neurons is proportional to the similarity between the input pattern and the feature vector (the top-down weights) of the clustering neuron. The mathematical model governing the evolution of the s

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Liu, Xiangyu, Zhenhan Xu, Liuyang Niu, and Lei Guo. "Adaptive underwater monitoring system through visible light." Journal of Physics: Conference Series 2880, no. 1 (2024): 012003. http://dx.doi.org/10.1088/1742-6596/2880/1/012003.

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Abstract Currently, underwater visible light communication (VLC) in fields such as underwater resource development, scientific research, and monitoring has become a research hotspot. However, challenges persist in underwater optical communication distances and quality monitoring due to factors such as light attenuation and scattering. Therefore, we propose an adaptive underwater visible light communication monitoring system to increase underwater communication distances and facilitate underwater environmental monitoring. First, we design a parallel multi-hop structure for underwater VLC nodes

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Wang, Zhifang, Jianguo Yu, and Shangjing Lin. "Research on robust adaptive sliding film fault-tolerant control under nonlinear distortion of signal transmission in amorphous flat air-to-ground wireless ad-hoc network system." Assembly Automation 42, no. 2 (2022): 190–201. http://dx.doi.org/10.1108/aa-04-2021-0045.

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Purpose To solve the above problems and ensure the stability of the ad hoc network node topology in the process of wireless signal transmission, this paper aims to design a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system. Design/methodology/approach This paper designs a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system. Findings The simulation re

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Jia, Tao, Alexandra Duel-Hallen, and Hans Hallen. "Data-Aided Noise Reduction for Long-Range Fading Prediction in Adaptive Modulation Systems." Vehicular Technology, IEEE Transactions on 62, no. 5 (2013): 2358–62. http://dx.doi.org/10.1109/tvt.2013.2241090.

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The long-range prediction (LRP) of fading signals enables adaptive transmission methods for rapidly varying mobile radio channels encountered in vehicular communications, but its performance is severely degraded by the additive noise and interference. A data-aided noise reduction (DANR) method is proposed to enhance the accuracy of fading prediction and to improve the spectral efficiency of adaptive modulation systems enabled by the LRP. The DANR includes an adaptive pilot transmission mechanism, robust noise reduction (NR), and decision-directed channel estimation. Due to improved prediction

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Han, Shu, Xiaoming Liu, Yan Yang, Hailin Cao, Yuanhong Zhong, and Chuanlian Luo. "Intelligent Algorithm for Variable Scale Adaptive Feature Separation of Mechanical Composite Fault Signals." Energies 14, no. 22 (2021): 7702. http://dx.doi.org/10.3390/en14227702.

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With the development of modern industry and scientific technology, production equipment plays an increasingly important role in military and industrial production, and the fault detection signal of gears and bearings state in transmission equipment becomes very important. Therefore, this paper proposes a gear-bearing composite fault signal decomposition and reconstruction method, which combines the marine predator algorithm (MPA) and variational mode decomposition (VMD) technologies. For the parameters’ selection of VMD, the optimization algorithm allows us to quickly and accurately obtain the

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Oteng-Amoako, Kingsley, and Saeid Nooshabadi. "Adaptive Turbo-Coded Hybrid-ARQ in OFDM Systems over Gaussian and Fading Channels." Journal of Communications Software and Systems 2, no. 1 (2017): 3. http://dx.doi.org/10.24138/jcomss.v2i1.300.

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In this paper, an analytical approach for spectral efficiency maximization of coded wideband transmissions is presented based on OFDM. The approach exploits Type-III Hybrid-ARQ, enabling all sub-carriers to be employed in codeword transmission regardless of the sub-carrier conditions.The effects of imperfect sub-channel estimation are characterized and compensated for during code rate and signal constellation optimization. The results of the paper highlight that by independently adapting the code rate and signal constellation to individual OFDM sub-carriers based on an estimated sub-carrier CS

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Chaoang, Xiao, Tang Hesheng, and Ren Yan. "Compressed sensing reconstruction for axial piston pump bearing vibration signals based on adaptive sparse dictionary model." Measurement and Control 53, no. 3-4 (2020): 649–61. http://dx.doi.org/10.1177/0020294019898725.

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Aiming at the mechanical equipment in the fault diagnosis process, the traditional Shannon–Nyquist sampling theorem is used for data collection, which faces main problems of storage, transmission, and processing of mechanical vibration signals. This paper presents a novel method of compressed sensing reconstruction for axial piston pump bearing vibration signals based on the adaptive sparse dictionary model. First, vibration signals were divided into blocks, and an energy sequence was produced in accordance with the energy of each signal block. Second, the energy sequence of each signal block

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Cai, Caixia, Jiayao Zhang, Fuli Zhong, and Han Hai. "Energy-Efficient Adaptive Bidirectional Transmission Strategy in Simultaneous Wireless Information and Power Transfer (SWIPT)-Enabled Cognitive Relay Network." Sensors 24, no. 19 (2024): 6478. http://dx.doi.org/10.3390/s24196478.

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Introducing collaborative relay and simultaneous wireless information and power transfer (SWIPT) techniques into a cognitive wireless network, named the SWIPT-enabled cognitive relay network (CRN), is considered a promising approach to deal with insufficiency and the low utilization of spectrum resources, as well as the node’s energy-constrained issues in wireless networks. In this paper, to improve the network spectrum efficiency (SE) and energy efficiency (EE) of the SWIPT-enabled CRN, we design an energy-efficient adaptive bidirectional transmission strategy. To be specific, we first select

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Galvão, Gonçalo, Manuel Augusto Vieira, Manuela Vieira, Paula Louro, and Mário Véstias. "Enhancing Urban Traffic Management with Visible Light Communication and Reinforcement Learning." EPJ Web of Conferences 305 (2024): 00030. http://dx.doi.org/10.1051/epjconf/202430500030.

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This paper introduces Visible Light Communication (VLC) to enhance traffic signal efficiency and vehicle trajectory management at urban intersections. A multi-intersection traffic control system is proposed, integrating VLC localization services with learning-based traffic signal control. VLC facilitates communication between connected vehicles and infrastructure using headlights, streetlights, and traffic signals to transmit information. By leveraging vehicle-to-vehicle (V2V) and infrastructure-to-vehicle (I2V) interactions, joint transmission and data collection are achieved via mobile optic

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Chen, Lili, and Hongjun Guo. "An Adaptive Weighted Threshold Image Restoration Method Based on Wavelet Domain." International Journal of Circuits, Systems and Signal Processing 15 (April 8, 2021): 297–305. http://dx.doi.org/10.46300/9106.2021.15.34.

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Due to the limitation of imaging equipment, the influence of transmission medium and external environment, image quality degradation will inevitably occur in the process of generation, transmission and reception. These degradation not only worsens the visual effect of the image, but also makes the image lose a lot of useful information, which seriously affects image recognition, target detection and other high-level visual analysis. Wavelet analysis can extract useful information from image signal and meanwhile its profound wavelet basis can get adapted to signals of different properties. To b

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Xiang, Jing, and Xin Du. "Data transmission delay compensation algorithm for interactive communication network of offshore oil field operation scene in bad weather." PLOS ONE 20, no. 1 (2025): e0317137. https://doi.org/10.1371/journal.pone.0317137.

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A data transmission delay compensation algorithm for an interactive communication network of an offshore oil field operation scene in severe weather is proposed. To solve the problem of unstable microwave signals and a large amount of noise in the communication network caused by bad weather, the communication network signal denoising method based on Lagrange multiplier symplectic singular value mode decomposition is adopted, and the communication network data denoising process is realized through five steps; phase space reconstruction, symplectic geometric similarity transformation, grouping,

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Chen, Min, Wen Bing Lu, Chong Zhang, and Liang Zhang. "Research on TWACS Interference Suppression Based on the RLS Algorithm." Applied Mechanics and Materials 229-231 (November 2012): 1560–63. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1560.

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TWACS (Two Way Automatic Communication System) has advantages such as economical and practical use, strong interference capability, long transmission distance and so on. But the noise in China's industrial distribution power grid owns the characters of strong interference randomness and even annihilation of the modulated signal. So the noise has a negative impact on power line communication performance. While the adaptive filter does not need to know in advance on the statistical characteristics of the input signal and noise, and has nothing to do with the spectral characteristics of the input

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Liu, Haoqiang, Hongbo Zhao, and Wenquan Feng. "Filtering-Based Regularized Sparsity Variable Step-Size Matching Pursuit and Its Applications in Vehicle Health Monitoring." Applied Sciences 11, no. 11 (2021): 4816. http://dx.doi.org/10.3390/app11114816.

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Recent years have witnessed that real-time health monitoring for vehicles is gaining importance. Conventional monitoring scheme faces formidable challenges imposed by the massive signals generated with extremely heavy burden on storage and transmission. To address issues of signal sampling and transmission, compressed sensing (CS) has served as a promising solution in vehicle health monitoring, which performs signal sampling and compression simultaneously. Signal reconstruction is regarded as the most critical part of CS, while greedy reconstruction has been a research hotspot. However, the ex

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Zheng, Xiaodong, and Rui Zhang. "Key technologies of smart antenna in WLAN based on adaptive array." Journal of Computational Methods in Sciences and Engineering 24, no. 2 (2024): 1189–205. http://dx.doi.org/10.3233/jcm-247326.

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In order to improve the communication quality and transmission rate of WLAN, the key technologies of smart antenna in WLAN based on adaptive array are proposed. The adaptive array is used to suppress the WLAN interference signal, and the feedback from the output is used to adjust the weight loaded on the signal, and the optimal weight corresponding to the linear constraint minimum variance is obtained to achieve beamforming optimization. On this basis, the optimal antenna selection algorithm and the sub-optimal antenna selection algorithm are designed, and the sub-channel matrix with the maxim

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Cho, John Y. N., and Edward S. Chornoboy. "Multi-PRI Signal Processing for the Terminal Doppler Weather Radar. Part I: Clutter Filtering." Journal of Atmospheric and Oceanic Technology 22, no. 5 (2005): 575–82. http://dx.doi.org/10.1175/jtech1730.1.

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Abstract Multiple pulse repetition interval (multi-PRI) transmission is part of an adaptive signal transmission and processing algorithm being developed to aggressively combat range–velocity ambiguity in weather radars. In the past, operational use of multi-PRI pulse trains has been hampered due to the difficulty in clutter filtering. This paper presents finite impulse response clutter filter designs for multi-PRI signals with excellent magnitude and phase responses. These filters provide strong suppression for use on low-elevation scans and yield low biases of velocity estimates so that accur

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Wang, Yucai, Wei Chang, Jingjiao Li, and Cuilei Yang. "Signal processing for enhancing railway communication by integrating deep learning and adaptive equalization techniques." PLOS ONE 19, no. 10 (2024): e0311897. http://dx.doi.org/10.1371/journal.pone.0311897.

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With the increasing amount of data in railway communication system, the conventional wireless high-frequency communication technology cannot meet the requirements of modern communication and needs to be improved. In order to meet the requirements of high-speed signal processing, a high-speed communication signal processing method based on visible light is developed and studied. This method combines the adaptive equalization algorithm with deep learning and is applied to railway communication signal processing. In this research, the wavelength division multiplexing (WDM) and orthogonal frequenc

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