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IEEE/SP Workshop on Statistical signal processing (SSP)

作者： Seungjin Choi A. Cichocki A. Belouchrani Department of Computer Science & Engineering POSTECH South Korea Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Japan Department of Electrical Engineering Ecole Nationale Polytechnique (ENP) Algeria

This paper presents a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources. The method needs only multiple time-delayed correlation matrices of the observation data, each of which is evaluated at a different time-windowed data frame, to estimate the demixing matrix. We show that the method is quite robust with respect to the spatially correlated but temporally white noise. We also discuss the extension of some existing second-order blind source separation methods. Extensive numerical experiments confirm the validity of the proposed method.

关键词： Source separation Noise robustness Blind source separation Additive noise White noise computer science Biomedical signal processing Telecommunications Speech processing signal analysis

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A digital envelope detection filter for blood pressure measurement

A digital envelope detection filter for blood pressure measu...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： J.Y. Lee J.K. Kim G. Yoon Medical Application Team Samsung Advanced Institute of Technology Yongin si South Korea Digital Signal Processing Laboratory Department of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea

We developed a finger type blood pressure measurement system using a volume oscillometric algorithm. The digital envelope detection filter (EDF) method was applied to volume oscillometric signals which were acquired from an air-filled occlusive finger cuff. In the case of using the EDF, we could reduce the difference error and standard deviation by 30-40%.

关键词： Envelope detectors Digital filters Blood pressure Pressure measurement Fingers Arteries Finite impulse response filter Frequency Biomedical monitoring Volume measurement

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An ROC analysis for subpixel detection

An ROC analysis for subpixel detection

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Chein-I Chang Shao-Shan Chiang Qian Du Hsuan Ren A. Ifarragaerri Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA Department of Computer Science and Electrical Engineering Texas A and M University Kingsville TX USA Biological and Chemical Command US Army MD USA

ROC (Receiver Operating Characteristic) analysis has been widely used to evaluate detection performance. It is based on the Neyman-Pearson detection theory, which solves binary hypothesis testing problems. In mixed pixel classification many algorithms that are developed to estimate abundance fractions (of image endmembers) generally produce gray scale images. As a result, they are not directly applied to hypothesis testing problems. Instead of using the standard ROC curve generated by the detection power versus the false alarm probability, a 3-dimensional (3D) ROC curve is developed in this paper for subpixel detection. It is a 3D plot derived from the mean-detection probability versus the mean-false alarm rate with the third dimension specified by abundance fractions produced by subpixel detection algorithms. In order to illustrate the utility of the proposed 3D ROC analysis in subpixel detection, several linear unmixing-based algorithms are used for performance evaluation.

关键词： Testing Pixel Performance analysis computer science Chemical analysis Image segmentation signal processing Image processing Laboratories Chemical processes

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A method for restoration of low-resolution document images

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International Journal on Document Analysis and Recognition 2000年第4期2卷 200-210页

作者： Thouin, Paul D. Chang, Chein-I Department of Defense Fort Meade MD 20755 United States Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle Baltimore MD 21250 United States

Image restoration using resolution expansion is important in many areas of image processing. This paper introduces a restoration method for low-resolution text images which produces expanded images with improved definition. This technique creates a strongly bimodal image with smooth regions in both the foreground and background, while allowing for sharp discontinuities at the edges. The restored image, which is constrained by the given low-resolution image, is generated by iteratively solving a nonlinear optimization problem. Low-resolution text images restored using this technique are shown to be both quantitatively and qualitatively superior to images expanded using the standard methods of linear interpolation and cubic spline expansion. Experimental results demonstrate that text images created by this new algorithm improve optical character recognition accuracy more than images obtained by existing expansion methods. © 2000 Springer-Verlag Berlin Heidelberg.

关键词： Restoration

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Match filter bound analysis used to evaluate range increase provided by an adaptive antenna array

Match filter bound analysis used to evaluate range increase ...

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IEEE Conference on Vehicular Technology (VTC)

作者： I. Howitt Wireless & Signal Processing Laboratory Electrical Engineering & Computer Science Department University of Wisconsin Milwaukee WI USA

An analytical approach is developed for evaluating the expected range increase and variations in coverage range, while using an M-element adaptive antenna array at the base station (BS). The analysis is based on the match filter bound an the bit error rate probability for a frequency non-selective Rayleigh fading channel. Results for a ten element uniform linear array (ULA) indicate the expected range increase over a BS with only a single antenna can be nearly doubled. A 1.6 to 1.7 increase is also likely with a five-element array.

关键词： Adaptive arrays Adaptive filters Matched filters Antenna arrays Linear antenna arrays Base stations Frequency Fading Wireless LAN Diversity methods

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Capacity enhancement based on using adaptive antenna arrays optimized for trunking efficiency

Capacity enhancement based on using adaptive antenna arrays ...

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IEEE Conference on Vehicular Technology (VTC)

作者： I. Howitt F.H. Awad Wireless & Signal Processing Laboratory Electrical Engineering & Computer Science Department University of Wisconsin Milwaukee WI USA

Cellular systems using adaptive antennas for spatial processing have been shown to provide an increase in capacity. When employing adaptive antennas, the standard approach to achieve capacity gain has been to maximize the link quality between the mobile and base station via optimum combining. This paper presents an alternative optimization approach based on optimizing the adaptive antenna array to maximize the trunking efficiency, of which the effect was subsequently an outstanding issue. Monte Carlo simulations, substantiated with theoretical analysis, were used to evaluate this issue. Based on the analysis, the proposed approach could increase the capacity by 2 to 4 times.

关键词： Adaptive arrays Antenna arrays Traffic control Phased arrays Telecommunication traffic Mobile antennas Base stations Analytical models Speech analysis Loaded antennas

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Parallel implementation of multifilters

Parallel implementation of multifilters

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： N. Damera-Venkata B.L. Evans Embedded Signal Processing Laboratory Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

A multifilter is a filter with matrix-valued coefficients, and is used in the processing of vector-valued signals, e.g. color images. Convolution becomes a vector sum of matrix-vector multiplication. In this paper, we efficiently implement a multifilter as a parallel combination of scalar filters. Each scalar filter works on one component of the input vector signal, which increases processing speed by the dimension of the vector-valued signal. This means that by using N processors, the throughput is increased by a factor of N while the total memory usage remains unchanged. We also present a frequency-domain analysis of the filtering.

关键词： Filter bank signal processing Digital signal processing Convolution Color Concurrent computing Laboratories Embedded computing Frequency domain analysis Filtering

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Comparison of techniques for estimating the frequency selectivity of bandlimited channels

Comparison of techniques for estimating the frequency select...

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IEEE Region 10 International Conference TENCON

作者： A.Z. Sha'ameri Digital Signal Processing Laboratory Department of Microelectronics and Computer Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

A transmission channel used in application such as telecommunications can be modeled as a bandpass filter. Measurement of the frequency selectivity of the channel is important to ensure that the information-bearing signal has minimal distortion and loss of information. A comparison is made for several methods used for estimating the frequency selectivity of the transmission. The methods presented are the correlation method, instantaneous energy and frequency estimation and the cross Wigner-Ville distribution. The theoretical foundations and assumptions are described for each method. In general, all the methods gave similar performance in terms of the frequency selectivity. Due to the shorter analysis duration, both the instantaneous energy and frequency estimation and cross Wigner-Ville distribution is ideal for estimating the frequency selectivity of time-varying channels.

关键词： Frequency estimation Correlation Autocorrelation Linear systems Finite impulse response filter Nonlinear filters Band pass filters Binary sequences Linear feedback shift registers Chebyshev approximation

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Moving object segmentation based on human visual sensitivity 1st

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1st IEEE International Workshop on Biologically Motivated computer Vision, BMCV 2000

作者： Yoon, Kuk-Jin Kweon, In-So Kim, Chang-Yeong Seo, Yang-Seok Department of Electrical Engineering and Computer Science KAIST 373-1 Kusong-dong Yusong-ku Taejon305-701 Korea Republic of Signal Processing Laboratory Samsung Advanced Institute of Technology P.O. Box 111 Suwon440-660 Korea Republic of

ISBN: (纸本)3540675604

The edge and motion are the main features that human visual system (HVS) perceives intensively. This paper proposes an algorithm for the segmentation of the moving object with accurate boundary using color and motion focusing on the HVS perception in the general image sequence. The proposed algorithm is composed of three parts: color segmentation, motion analysis, and region refinement and merging part. In the color segmentation phase, K-Means algorithm is used in consideration of the sensitivity of the human color perception to get the boundaries that HVS perceives. The global and local motion estimation are performed in parallel with color analysis. After that, Bayesian clustering using color and motion provides more accurate boundary. In the final stage, regions are merged taking into account their motion. The experimental results of the proposed algorithm show the accurate moving object boundary coinciding with the boundary that HVS perceives. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Color

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A new adaptive algorithm for stereophonic acoustic echo canceller

A new adaptive algorithm for stereophonic acoustic echo canc...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Yang-Won Jung Ji-Ha Lee Young-Cheol Park Dae-Hee Youn ASSP Laboratory Department of Electrical and Computer Engineering Yonsei University South Korea Center for Signal Processing Research Yonsei University South Korea

Stereophonic sound becomes more important in a growing number of hands-free applications where spatial realism is demanded. Such hands-free systems need stereophonic acoustic echo cancellers to reduce echoes that result from coupling between loudspeakers and microphones. In this paper, we propose a new adaptive algorithm for an stereophonic acoustic echo canceller based on human auditory properties and affine projection (AP) algorithm. The proposed algorithm employs a pre-processor generating speech-like noise to decorrelate the input signals without degrading perceptual speech quality. The decorrelation is based on the masking patterns of the human auditory system. By showing that the AP algorithm can be represented by a vector update as a combination of the Gram-Schmidt (GS) orthogonalization followed by the normalized LMS (NLMS) algorithm, the proposed adaptive algorithm integrates the pre-processor into the adaptive algorithm. Subjective listening test and computer simulation show the effectiveness of the proposed algorithm.

关键词： Adaptive algorithm Echo cancellers Humans Decorrelation Loudspeakers Microphones signal generators Acoustic noise Noise cancellation Noise generators

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