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soft computing and signal processing 1

丛书名： Advances in Intelligent Systems and computing

1000年

作者： V. Sivakumar Reddy V. Kamakshi Prasad Jiacun Wang K. T. V. Reddy

ISBN: (数字)9789813369122

ISBN: (纸本)9789813369115

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third international conference on soft computing and signal processing (icscsp 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

关键词： Computational Intelligence signal, Image and Speech processing Wireless and Mobile Communication Cyber-physical systems, IoT Professional computing

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Dual-function radar-communication using neural network

Dual-function radar-communication using neural network

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international conference on soft computing and signal processing, icscsp 2018

作者： Anjali, K.S. Prabha, G. Department of Electronics and Communication Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (纸本)9789811335990

A novel approach for dual-function radar-communication (DFRC), by making use of frequency diversity in waveforms, is proposed in this paper. This is an approach to make use of an available band of spectrum (2.38–2.42 GHz) for both radar and communication. Unlike the previous approaches, the system can process both radar and communication signals simultaneously. Digitization of receive signals at the element level gives a way to deliver maximum flexibility. The use of neural network is to minimize the BER and for optimizing beam formation. MUSIC algorithm is applied to phased array to precisely estimate the arrival directions of signals. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Multiple signal classification

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soft computing and signal processing 1

Soft Computing and Signal Processing

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丛书名： Lecture Notes in Networks and Systems

1000年

作者： Hushairi Zen Naga M. Dasari Y. Madhavee Latha S. Srinivasa Rao

ISBN: (数字)9789819799268

ISBN: (纸本)9789819799251

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Seventh international conference on soft computing and signal processing (icscsp 2024), organized by Malla Reddy College of Engineering & Technology, Hyderabad, India. The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

关键词： Computational Intelligence Artificial Intelligence Cyber-physical systems, IoT signal, Image and Speech processing Professional computing

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Optimal Selection of Wavelet Transform for De-noising of ECG signal on the Basis of Statistical Parameters 2nd

Optimal Selection of Wavelet Transform for De-noising of ECG...

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2nd international conference on soft computing and signal processing, icscsp 2019

作者： Saxena, Shivani Vijay, Ritu Department of Electronics Banasthali Vidyapith Tonk NewaiRajasthan India

ISBN: (纸本)9789811524745

The purpose of this work is to present a discrete wavelet transform-based de-noising procedure for ECG signal processing. The proposed method is applied on various wavelet transform to analyze waveform of noisy ECG signals and remove high-frequency noise with correction of baseline drift. In order to illustrate the quality and performance of the method, extraction of statistical parameters, including standard deviation, mean square error, signal-to-noise ratio and retained energy, from synthesized signal is done. From the obtained results, it was found that DWT-based de-noising technique preserves the dynamic and morphological features of ECG signal while suppressed noise components to some extent. The method is trained on ECG signal taken from MIT-BIH arrhythmia database from PhysioNet. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Discrete wavelet transforms

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soft computing and signal processing 1

Soft Computing and Signal Processing

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丛书名： Lecture Notes in Networks and Systems

1000年

作者： V. Sivakumar Reddy Jiacun Wang Prasad Chetti K. T. V. Reddy

ISBN: (数字)9789819609246

ISBN: (纸本)9789819609239

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Seventh international conference on soft computing and signal processing (icscsp 2024), organized by Malla Reddy College of Engineering & Technology, Hyderabad, India. The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms, and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation, and application issues.

关键词： Computational Intelligence Artificial Intelligence signal, Image and Speech processing Cyber-physical systems, IoT Professional computing

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A novel approach of low power, less area, and economic integrated circuits

A novel approach of low power, less area, and economic integ...

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international conference on soft computing and signal processing, icscsp 2018

作者： Syed, Sanjeeda Thriveni, R. Khan, Pattan Vaseem Ali Punganur Road Madanapalle 517325 India Department of Information & Technology Honda Motor Cycles & Scooters India PVT. LTD-3F Bangalore India

ISBN: (纸本)9789811333927

Foremost leading-edge integrated circuit applications like microprocessors, digital signal processors, RF processors, and mixed-signal processors need low power and less area of die utilization. This paper presents entirely a different method of designing and analyzing the primary modules of four-bit ripple carry adders, multiplexers of various sizes, full adders, and full subtractors based on decomposite Shannon’s expansions and MGDI techniques. The proposed systems are modules in nature indicating that it can easily be upgraded to various leading-edge ICs. The core benefit is less transistors and less power consumption. The implementation and analysis of these digital systems are done by using Microwind and Digital Schematic at 0.12 µm technology and analyzed area and total power consumption with different technologies and power supply voltages. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Digital signal processors

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A novel methodology for multiplication of three n-bit binary numbers

A novel methodology for multiplication of three n-bit binary...

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international conference on soft computing and signal processing, icscsp 2018

作者： Mukherjee, Anirban Hore, Niladri Kumar, Vinay Department of Electronics and Communication Engineering Jalpaiguri Government Engineering College JalpaiguriWest Bengal735102 India Department of Electronics and Communication Engineering National Institute of Technology Meghalaya ShillongMeghalaya793003 India

ISBN: (纸本)9789811335990

Multipliers play an important role in any processor or computing machine. The performance of arithmetic circuits is evaluated from the performance of multipliers of those circuits. The conventional multiplier circuits process only two binary data at a time for multiplication. This paper proposes a methodology to multiply three binary numbers at once. This methodology reduces the complexity of the circuit for multiplying three binary numbers as compared to the existing methods of multiplying. When implemented in a circuit, this has turned out to increase the performance of the multiplier based on proposed methodology in terms of power, gates and delay as compared to existing multipliers. Based on simulation results for design of circuit for multiplying three 4-bit binary numbers, the proposed methodology shows a reduction of 37.56, 62.90 and 41.35% in propagation delay, power consumption and gate counts, respectively, as compared to existing techniques. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Digital signal processors

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Improvement of signal-to-noise ratio for MST radar using weighted semi-parametric algorithm

Improvement of signal-to-noise ratio for MST radar using wei...

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international conference on soft computing and signal processing, icscsp 2018

作者： Raju, C. Sreenivasulu Reddy, T. Department of Electronics and Communication Engineering SVU College of Engineering TirupatiAndhra Pradesh India

ISBN: (纸本)9789811335990

The Indian mesosphere–stratosphere–troposphere (MST) radar is the prominent atmospheric radar that provides the atmospheric movements’ information. The radar data is analyzed to obtain the wind parameter that requires the power spectral estimation. At higher altitudes, the estimation of Doppler spectrum is found to be unsatisfactory using both parametric and nonparametric methods for spectral estimation. In this article, the hyperparameter-free, weighted sparse iterative covariance-based estimation (SPICE) method has been considered. Unlike existing SPICE method, a different hyperparameter–free, weighted SPICE method has been derived using a gradient approach with different step sizes. The two versions of SPICE algorithm, i.e., SPICEa and SPICEb, are applied to the practical MST radar data collected at National Atmospheric Research Laboratory, Gadanki (13.5°N, 79.2°E). The obtained results are evaluated with the existing atmospheric data processor results which use the basic periodogram method. The proposed method shows the significant enhancement in signal-to-noise ratio even at elevated heights. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Research laboratories

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Simplified Early Stopping Criterion for Polar Codes 8

Simplified Early Stopping Criterion for Polar Codes

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IEEE international conference on signal processing, Communications and computing (ICSPCC)

作者： Cui, Jianming Li, Jun Dong, Yanfei Zhang, Xiaojun Zeng, Qingtian Shandong Univ Sci & Technol Qingdao Peoples R China

ISBN: (纸本)9781538679463

Belief propagation (BP) algorithm of polar codes suffers from very high computational complexity when the iteration number becomes larger. In this paper, an early stopping criterion is proposed to avoid unnecessary iterations efficiently. The proposed only needs to detect whether the proportion of unchanged soft-output messages in a detection space exceeds a threshold. The proposed iteration can achieve a desired trade-off between complexity and decoding performance. Simulation results have shown that when the maximum iteration number is 40, the flooding BP (FO-BP) decoder with the proposed criterion can reduce 82.17% of iterations at 3.5dB compared with the FO-BP decoder without early stopping criterion. The proposed criterion costs N/32 additions and N/32 comparisons, where N indicates the code length, which effectively reduces the computational complexity.

关键词： polar codes belief propagation (BP) early stopping criterion soft messages

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An enhanced fuzzy algorithm based on advanced signal processing for identification of stress

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NEUROcomputing 2018年 271卷 48-57页

作者： Salazar-Ramirez, A. Irigoyen, E. Martinez, R. Zalabarria, U. Univ Basque Country UPV EHU Automat Syst & Control Engn Dept Alda Urquijo S-N Bilbao 48013 Spain

Nowadays, it is crucial to promote and develop the autonomy of people, and specifically of individuals with some disability, in order to improve their life quality and achieve a better inclusion into sociocultural life. Therefore, the identification of stress situations can be a suitable assistive tool for improving their socio-cultural inclusion. This work presents important enhancements and variations for an existing fuzzy logic stress detection system based on monitoring and processing different physiological signals (heart rate, galvanic skin response and breath). First, it proposes a method based on wavelet processing to improve the detection of R peaks of electrocardiograms. Afterwards, it proposes to decompose the galvanic response signal into two components: the average value and the variations. In addition, it proposes to extract information out the breath signal by analyzing its frequential composition. Finally, an improved response in detecting stress changes is shown in comparison with other previous works. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Fuzzy logic Physiological signal processing Wavelets Stress identification

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