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14th International conference on Digital signal processing (DSP 2002)

作者： Bienvenu, G Thales Underwater Syst F-06903 Sophia Antipolis France

ISBN: (纸本)0780375033

This paper describes the major trends in Sonar signal processing and gives some example of advanced algorithms to illustrate the need in computation power: adaptive beamforming for passive sonars, wideband Doppler code for active sonar in coastal/shallow water environment (reverberation limiting conditions) and synthetic aperture processing for minehunting sonars. Performance of theses algorithms compared to conventional ones are shown on real data obtained at sea.

关键词： Synthetic apertures

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On the importance of exact synchronization for distributed audio signal processing

On the importance of exact synchronization for distributed a...

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IEEE International conference on Acoustics, Speech, and signal processing

作者： Lienhart, R Kozintsev, I Wehr, S Yeung, M Intel Labs Microprocessor Res Santa Clara CA 95052 USA

ISBN: (纸本)0780376633

We propose a new paradigm for implementations of audio array processing algorithms on a network of distributed general-purpose computers. In contrast to currently existing DSP processor-based solutions, our approach offers new possibilities for advanced array signal processing by enabling the usage of general-purpose computing platforms with their superior computational and storage resources. We demonstrate that synchronization of sensors is essential for acoustic Blind Source Separation (BSS) algorithms, and we propose a synchronization scheme that enables BSS on distributed, wirelessly networked computers and can easily be implemented on existing hardware.

关键词： signal processing

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advanced technology on radar signal processing

Advanced technology on radar signal processing

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CIE International conference on Radar

作者： Wu, SJ Liao, GS Bao, Z Natl Lab Radar Signal Proc Xian 710071 Peoples R China

ISBN: (纸本)0780370007

The task of radar signal processing is the extraction of the target information from the radar echo. The functions of radar extend from the target detection and the coordinate measurement (range, angle of azimuth and elevation) to the measurement of Doppler frequency, the judgement of target property, anti-jammer anti-deception and anti-ARM and so on. This means that modern radar should work in wide band or multi-band, look everywhere all the time, and possess multi-functions. Then it must use advanced signal processing technology to improve the capability of catching the target information. The advanced technologies of. radar signal processing involve the advanced processing algorithms and advanced digital processing hardware and software.

关键词： radar signal processing radar detection Doppler radar jamming radar signal processing target information extraction radar echo radar detection wide-band radar multi-band radar multi-function radar digital processing Doppler frequency jamming

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Integrated Platform of Underwater Acoustic signal Simulation and Classification 17

Integrated Platform of Underwater Acoustic Signal Simulation...

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17th International conference on advanced Computer Theory and Engineering

作者： Zhu, Haoliang Guo, Tiantian Yu, Limin Xian Jiaotong Liverpool Univ Dept Sch Adv Technol Suzhou Peoples R China

ISBN: (纸本)9798331539894;9798331539887

With the increase in marine activities, there is a growing need for efficient and accurate underwater acoustic signal processing techniques. In this study, MATLAB-based graphical user interfaces (GUIs) including Receiver signal Simulation GUI, Database System GUI and signal Classification GUI are developed for simulating, sorting, classifying and visualizing underwater acoustic signals with the aim of improving the efficiency and accuracy of acoustic signal processing. By converting one-dimensional acoustic signals into two-dimensional time-frequency spectrogram, this study applies image classification techniques in underwater acoustic signal processing using convolutional neural networks (CNNs), deep neural networks (DNNs), and random forests (RFs) for signal classification. Experimental results show that these machine learning models are able to effectively classify acoustic signals in a low signal-to-noise ratio environment, with CNN and RF showing particular robustness. In addition, the GUI provides a user-friendly platform that greatly simplifies the complex process of analyzing acoustic data. This study not only demonstrates effectiveness of the algorithms in classifying underwater acoustic signals, but also provides new tools and perspectives for marine science research and related application areas. The future work will explore the integration of more machine learning algorithms and extend the functionality of the GUI to support a wider range of acoustic signal processing applications.

关键词： Underwater Acoustic signal processing Graphical User Interface Machine Learning signal Classification signal Visualization Geometric Ray Tracing Channel Model

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advanced signal processing algorithims and architectures for sound, vibration, and machine condition monitoring

Advanced signal processing algorithims and architectures for...

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2009 conference of the Society for Machinery Failure Prevention Technology - Failure Prevention: Implementation, Success Stories and Lessons Learned

作者： Johnson, Preston National Instruments Corporation 11500 North Mopac Expressway Austin TX 78759 United States

Many sound and vibration applications have adopted signal processing. FFTbased signal processing algorithms might not help in some applications. Several advanced signal processing algorithms beyond the FFT such as Time-Frequency Analysis, Order Analysis, Quefrency and Cepstrum, Wavelet analysis, and AR Modeling uses are outlined. These advanced algorithms can solve sound and vibration challenges that FFT based algorithms cannot solve. This paper will introduce the background of these algorithms and their application examples, such as bearing fault detection, motor testing and turbomachinery monitoring.

关键词： Fast Fourier transforms

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Reconfigurable hardware based digital signal processing for wireless communications

Reconfigurable hardware based digital signal processing for ...

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conference on advanced signal processing - algorithms, Architectures, and Implementations VII

作者： Page, KJ Arrigo, JF Chau, PM Univ. of California/San Diego (United States)

ISBN: (纸本)0819425842

This paper presents, Index Mapping, a technique to efficiently map a widely used class of digital signal processing algorithms onto a space/time paradigm with immediate representation as the partitioning and scheduling map of a small, I/O efficient, hardware array. When applied to reconfigurable FPGA based hardware architectures with downstream Sea-of-Gates optimization methods, the resulting systems form a dynamic signal processing environment with the best mix of performance and flexibility for wireless applications. Herein, Index Mapping is demonstrated with a mapping of the Fast Fourier Transform (FFT) onto an FPGA computing machine, the ReConfigurable Processor (RCP).

关键词： shuffle linear permutation FFT index map folding

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Scale-cumulant domain deconvolution of sensor array signals

Scale-cumulant domain deconvolution of sensor array signals

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conference on advanced signal processing algorithms, Architectures, and Implementations X

作者： Izzetolu, M Akgül, T Drexel Univ Dept Elect & Comp Engn Philadelphia PA 19104 USA

ISBN: (纸本)0819437611

In this paper we combine two recently developed multi-scale deconvolution algorithms, known as the scale-time domain method and the sum-of-cumulants domain method. We formulate the deconvolution problem in the scale-cumulant domain using the Scale Transform (ST) and show that the procedure is simpler when the unknown source signal is non-minimum phase and robust if Gaussian noise exists.

关键词： Sensors Deconvolution Electronic filtering Interference (communication) Algorithm development Reflectors signal processing Convolution Detection theory Image processing

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advanced signal processing for Vital Sign Extraction With Applications in UWB Radar Detection of Trapped Victims in Complex Environments

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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2014年第3期7卷 783-791页

作者： Li, Jing Liu, Lanbo Zeng, Zhaofa Liu, Fengshan Jilin Univ Coll Geoexplorat Sci & Technol Changchun 130026 Jilin Peoples R China Delaware State Univ Appl Math Res Ctr AMRC Dover DE 19901 USA Univ Connecticut Dept Civil & Environm Engn Storrs CT 06269 USA

Ultra-wideband (UWB) radar plays an important role in search and rescue at disaster relief sites. Identifying vital signs and locating buried survivors are two important research contents in this field. In general, it is hard to identify a human's vital signs (breathing and heartbeat) in complex environments due to the low signal-to-noise ratio of the vital sign in radar signals. In this paper, advanced signal-processing approaches are used to identify and to extract human vital signs in complex environments. First, we apply Curvelet transform to remove the source-receiver direct coupling wave and background clutters. Next, singular value decomposition is used to de-noise in the life signals. Finally, the results are presented based on FFT and Hilbert-Huang transform to separate and to extract human vital sign frequencies, as well as the micro-Doppler shift characteristics. The proposed processing approach is first tested by a set of synthetic data generated by FDTD simulation for UWB radar detection of two trapped victims under debris at an earthquake site of collapsed buildings. Then, it is validated by laboratory experiments data. The results demonstrate that the combination of UWB radar as the hardware and advanced signal-processing algorithms as the software has potential for efficient vital sign detection and location in search and rescue for trapped victims in complex environment.

关键词： Finite-difference time-domain (FDTD) simulation signal processing trapped human detection ultra-wideband (UWB) radar vital sign

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Time-frequency characterization of acoustic transients

Time-frequency characterization of acoustic transients

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conference on advanced signal processing - algorithms, Architectures, and Implementations VII

作者： Rohrbaugh, R Naval Surface Warfare Ctr. (United States)

ISBN: (纸本)0819425842

Impulsive transient signals have been difficult to characterize and classify using traditional signal processing methods. We show that time-frequency distributions can effectively characterize the transient response of an acoustical cavity. Class-dependent kernels developed from time-frequency distributions are used to successfully classify the impulsive transients.

关键词： Time-frequency analysis signal processing Acoustics Aluminum Glasses Fourier transforms Frequency modulation Interfaces Phase shift keying Wave propagation

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advanced Techniques for Spectrally Efficient DVB-S2X Systems 7

Advanced Techniques for Spectrally Efficient DVB-S2X Systems

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7th advanced Satellite Multimedia Systems conference / 13th signal processing for Space Communications Workshop (ASMS/SPSC)

作者： Ugolini, Alessandro Modenini, Andrea Colavolpe, Giulio Picchi, Giorgio Mignone, Vittoria Morello, Alberto Univ Parma DII I-43100 Parma Italy RAI Res & Technol Innovat Ctr Turin Italy

ISBN: (纸本)9781479958931

We investigate different techniques to improve the spectral efficiency of systems based on the DVB-S2 standard, when the transmitted signal bandwidth cannot be increased because it has already been optimized to the maximum value allowed by transponder filters. We will investigate and compare several techniques to involve different sections of the transceiver scheme. The techniques that will be considered include the use of advanced detection algorithms, the adoption of time packing, and the optimization of the constellation and shaping pulses. The LDPC codes recently proposed for the evolution of the DVB-S2 standard will be considered, as well as the adoption of iterative detection and decoding. Information theoretical analysis will be followed by the study of practical modulation and coding schemes.

关键词： Complexity theory Detectors Digital video broadcasting Optimized production technology Parity check codes Phase shift keying Optimized production technology digital video broadcasting parity check codes Phase shift keying Complexity theory DVB-S2 advanced technologies signal bandwidth maximum value detector Device Transponder Detection algorithms

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