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Transmit diversity for TDD systems

Transmit diversity for TDD systems

引用

conference on advanced signal processing algorithms, Architectures and Implementations XII

作者： Wang, JB Yao, K Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

ISBN: (纸本)0819445584

Multiple input multiple output (MIMO) communications have been a hot research area in recent years. Most literature makes the assumption that the channel information is not known at the transmitter but known perfectly at the receiver. We focus on the situation where both the transmitter and the receiver know the channel information. We consider a transmit diversity scheme that maximizes the signal to noise ratio at the receiver. We analyze its performance in terms of capacity, duality and asymptotic behavior. By simulation, we compare this scheme with Alamouti's transmit diversity to show the advantage of utilizing the channel side information to improve the performance of the wireless systems.

关键词： signal to noise ratio Receivers signal processing Lithium Lutetium Transmitters Antennas

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Real-time EEG signal processing based on TI's TMS320C6713 DSK

Real-time EEG signal processing based on TI's TMS320C6713 DS...

引用

ASEE Annual conference

作者： Tan, Zhibin Blanton, William H. Zhang, Qianru E Tennessee State Univ Dept Engn Technol Surveying & Digital Media Johnson City TN 37614 USA E Tennessee State Univ Dept Engn Technol Digital Media & Surveying Biomed Engn Technol Concentrat Johnson City TN 37614 USA E Tennessee State Univ Dept Engn Technol Surveying & Digital Media Elect Engn Technol Johnson City TN 37614 USA

As one of the most powerful DSP products of Texas Instruments, the TMS320C6x DSPs have been used in a variety of areas in industries for real-time signal processing applications (e.g., communication, radar system, hearing aid etc.), and in research agencies for developing advanced algorithms and prototyping of a DSP system for specific applications. In education, the C6x DSPs were also widely used as a tool for bridging the gap between the digital signal processing theory and practical applications. The hardware-based laboratories have been successfully integrated into the digital signal processing course at many universities. However, most labs were designed only for very common signal processing problems such as the FIR/IIR filter design, FFT and so on. In this paper, a system for real-time EEG (electroencephalograph) signal acquisition, processing and presentation was proposed and will be implemented with the Texas Instrument's TMS320C6713 DSK being used as the hardware platform. As a practical application of C6713 DSK in biomedical signal processing, this project is designed as a complement of the current DSP laboratories of the Digital signal Processors course for senior level undergraduates/graduates in Biomedical Engineering Technology Program (BMET) at the university. After the completion of the project, students are expected to be able to understand the scheme of a real world DSP system, process EEG signals for specific applications and gain the experience in processing the real world signals. In addition, this project is also intended for preparing the motivated high level students for future career in biomedical signal processing areas.

关键词： Digital signal processing

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Time-frequency approximations, with application to filtering, modulation and propagation - art. no. 63130S

Time-frequency approximations, with application to filtering...

引用

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

作者： Loughlin, Patrick J. Univ Pittsburgh Pittsburgh PA 15261 USA

ISBN: (纸本)0819463922

signals with time-varying spectral content arise in a number of situations, such as in shallow water sound propagation, biomedical signals, machine and structural vibrations, and seismic signals, among others. The Wigner distribution and its generalization have become standard methods for analyzing such time-varying signals. We derive approximations of the Wigner distribution that can be applied to gain insights into the effects of filtering, amplitude modulation, frequency modulation, and dispersive propagation on the time-varying spectral content of signals.

关键词： signal filtering and prediction

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Optical infrared flame detection system with neural networks

Optical infrared flame detection system with neural networks

引用

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

作者： Huseynov, Javid J. Baliga, Shankar B. Univ Calif Irvine Sch Informat & Comp Sci Irvine CA 92697 USA Gen Monitors Inc Lake Forest CA 92630 USA

ISBN: (纸本)9780819468451

A model for an infrared (M) flame detection system using artificial neural networks (ANN) is presented. The joint time-frequency analysis (JTFA) in the form of a Short-Time Fourier Transform (STFT) is used for extracting relevant input features for a set of ANNs. Each ANN is trained using the backpropagation conjugate-gradient (CG) method to distinguish all hydrocarbon flames from a particular type of environmental nuisance and background noise. signal saturation caused by the increased intensity of IR sources at closer distances is resolved by an adjustable gain control. A classification scheme with trained ANN connection weights was implemented on a digital signal processor for use in an industrial hydrocarbon flame detector.

关键词： artificial neural networks signal processing infrared detectors fire detection

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Evolutionary spectrum estimation by deconvolving bilinear time-frequency distributions

Evolutionary spectrum estimation by deconvolving bilinear ti...

引用

SPIE conference on advanced signal processing algorithms, Architectures, and Implementations VIII

作者： Emresoy, MK El-Jaroudi, A Univ Pittsburgh Real Time Signal Proc Lab Pittsburgh PA 15261 USA

ISBN: (纸本)0819429163

A deconvolution technique to estimate the Evolutionary Spectrum (ES) of nonstationary signals by deconvolving the blurring effects of the kernel function fi om bilinear time frequency distributions (TFD) is presented. The resulting ES has desirable properties such as positivity, higher resolution, higher concentration in time-frequency. The proposed algorithm is computationally more efficient compared to the recently proposed entropy based deconvolution method. Unlike the entropy method the new algorithm can be adapted to deconvolve TFDs other than the spectrogram.

关键词： evolutionary spectrum bilinear time-frequency distributions deconvolution

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advanced targets association based on GPU computation of PHD function

Advanced targets association based on GPU computation of PHD...

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International conference on advanced Computer Science and Information Systems (ICACSIS)

作者： Pidanic, Jan Shejbal, Tomas Nemec, Zdenek Suhartanto, Heru Univ Pardubice Fac Elect Engn & Informat Studentska 95 Pardubice 53210 Czech Republic Univ Indonesia Fac Comp Sci Java Indonesia

ISBN: (纸本)9781509003631

The precise and quick association of targets is one of the main challenging tasks in the signal processing field of the Multistatic Radar System (MRS). The paper deals with target association techniques based on the computation of the Probability Hypothetic Density (PHD) Function. The Computation time makes solving the PHD a very demanding task. The speedup of a newly developed algorithm depends on vectorization and parallel processing techniques. This paper describes the comparison between the original and parallel version of the target association algorithm with the full set of input data (without any knowledge about the approximation of targets direction) and the comparison with the advanced target association algorithm using additional input information about the direction of the target. All algorithms are processed in the MATLAB environment and Microsoft Visual Studio - C. The comparison also includes Central Processor Unit (CPU) and Graphics Processor Unit (GPU) version of all algorithms.

关键词： Graphics processing unit

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Adaptive radar CFAR using signal based suppression

Adaptive radar CFAR using signal based suppression

引用

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

作者： Brovko, TTN Whang, YE Hughes Aircraft Co. (United States)

ISBN: (纸本)0819425842

The primary basis for adaptive radar algorithm design is that (1) a Binary Hypothesis formulation with unknown parameters is an adequate test and (2) that radar interference is composed of combinations of thermal noise, self induced clutter, and extraneous noise. This is the typical generalized likelihood formulation that yield the CFAR characteristic for the assumed conditions. Implementations have shown that such formulations yield inadequate performance in complex clutter environments. As compensation measure, a secondary CFAR process then addresses the potential violation of this assumption by large ''target-like'' interference such as large Clutter discretes or a large number of targets interfering with each other. In order to detect small targets, an approach based on the Likelihood Statistic provides a technique for optimally suppressing the neighboring large signals. Performance is characterized as a function of a generalized distance and relative signal power ratios in the Joint Space-Time domain.

关键词： Target detection signal detection Doppler effect Distortion Radar Modulation Electronic filtering signal processing Interference (communication) signal to noise ratio

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A Survey of signal processing algorithms for Estimating Power System Modal Parameters

A Survey of Signal Processing Algorithms for Estimating Powe...

引用

54th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Min, Daham Yoo, Jaeyeong Heo, Jeonghyeok Hur, Kyeon Yonsei Univ Sch Elect & Elect Engn Seoul 120749 South Korea

ISBN: (纸本)9781612848570

Smart Grid is expected to provide a reliable power supply with fewer and briefer outages, cleaner power, and self-healing power systems, through advanced Power Quality (PQ) monitoring, analysis and diagnosis of the PQ measurements and identification of the root causes, and timely automated controls. It is important to understand that signal processing has been an integral part of advancing and expanding the horizons of this PQ research significantly. The capabilities and applications of signal processing for PQ are continually evolving due to the advanced PQ monitoring devices. Thus, this paper is to present a survey on the proven and emerging signal applications for enhancing PQ, focusing on algorithms for estimating system modal parameters because resonant frequencies and their damping information are critical signatures in evaluating the PQ. In particular, we discuss the need for investigating time-varying and nonlinear characteristics of the modal parameters due to dynamic changes in system operating conditions, and introduce promising signal processing techniques for this purpose.

关键词： Equations Monitoring PQ measurements damping damping information fault tolerance nonlinear characteristics power quality monitoring power supply quality power supply reliability power system identification power system measurement power system modal parameter estimation power system reliability resonant frequency self-healing power system signal processing signal processing algorithm smart grid smart power grids time-varying characteristics

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Feature preserving lossy image compression using nonlinear PDE's

Feature preserving lossy image compression using nonlinear P...

引用

SPIE conference on advanced signal processing algorithms, Architectures, and Implementations VIII

作者： Chan, TF Zhou, HM Univ Calif Los Angeles Dept Math Los Angeles CA 90095 USA

ISBN: (纸本)0819429163

In this report, we propose combining the Total Variation denoising method with the high loss wavelet compression for high noise level images. Numerical experiments show that TV-denoising can bring more wavelet coefficients closer to zero thereby making the compression more efficient while the salient features (edges) of the images can still be retained.

关键词： Image compression Wavelets Denoising Tolerancing Wavelet transforms Image processing Image quality Palladium Automatic target recognition Image storage

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Characterization of near-field scattering using a multiple weighted summed beamformer

Characterization of near-field scattering using a multiple w...

引用

conference on advanced signal processing algorithms, Architectures and Implementations XII

作者： Frazer, GJ Amin, MG Defence Science and Technology Organisation (Australia) Villanova Univ. (United States)

ISBN: (纸本)0819445584

The Sensor-Angle Distribution (SAD) is a recently introduced tool representing the power arriving at each sensor as a function of angle (or spatial frequency). It can be used to characterize near-field scatter environments. The SAD, as originally introduced, under-sampled the spatial correlation of the received signal (measured at each sensor) causing the SAD to be aliased for common source location cases. In this paper we indicate how this may be overcome. Additional results are provided showing that the SAD may be implemented as a multiple weighted subarray beamformer.

关键词： near-field sensor-angle distribution beamforming array processing

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