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检索条件"机构=Signal Compression Laboratory Department of Electrical and Computer Engineering"
953 条 记 录,以下是731-740 订阅
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Enhancing waveform interpolative coding with weighted REW parametric quantization
Enhancing waveform interpolative coding with weighted REW pa...
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IEEE Workshop on Speech Coding Proceedings
作者: O. Gottesman A. Gersho Dept. of Electr. & Comput. Eng. California Univ. Santa Barbara CA USA Signal Compression Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara CA USA
This paper presents an efficient quantization technique for the rapidly-evolving waveforms in waveform interpolative (WI) coders. The scheme, based on a parametrization of the rapidly-evolving waveform (REW) magnitude... 详细信息
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Impact of low-rate sampling on the reconstruction of ECG in phase-space
Impact of low-rate sampling on the reconstruction of ECG in ...
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Canadian Conference on electrical and computer engineering (CCECE)
作者: B. Huang W. Kinsner Dept. of Electr. & Comput. Eng. Manitoba Univ. Winnipeg Man. Canada Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada
This paper examines the chaotic and multifractal characteristics of the electrocardiogram (ECG) through its time series. Although multifractalities exist in the reconstructed strange attractor we find some limitations... 详细信息
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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 si... 详细信息
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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
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 ... 详细信息
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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 resu... 详细信息
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Unsupervised seed determination for a region-based color image segmentation scheme
Unsupervised seed determination for a region-based color ima...
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IEEE International Conference on Image Processing
作者: N. Ikonomakis K.N. Pataniotis A.N. Venetsanopoulos Department of Electrical and Computer Engineering Digital Signal & Image Processing Laboratory University of Toronto Toronto ONT Canada University of Toronto Toronto ON CA
A color image segmentation technique is presented for use in coding and/or compression of video-conferencing sequences. The proposed technique utilizes the perceptual HSI (hue, saturation, intensity) color space and i... 详细信息
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A target-constrained interference-minimized filter for subpixel target detection in hyperspectral imagery
A target-constrained interference-minimized filter for subpi...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Hsuan Ren Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA
Due to significantly improved high spatial and spectral resolution hyperspectral sensors can now uncover many material substances which cannot be resolved by multispectral sensors. However, this also comes at a price ... 详细信息
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Unsupervised fully constrained squares linear spectral mixture analysis method for multispectral imagery
Unsupervised fully constrained squares linear spectral mixtu...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: D.C. Heinz Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA
Subpixel detection and quantification of materials in multispectral imagery presents a challenging problem due to a relatively low number of spectral bands available for analysis in which case the number of spectral b... 详细信息
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Object segmentation based on multiple features for low bit rate video coding
Object segmentation based on multiple features for low bit r...
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International Conference on signal Processing Proceedings (ICSP)
作者: D. Tancharoen S. Jitapunkul S. Triamlumlerd P. Kittipanya-ngam S. Chompun Technology Center National Electronics and Computer Center Thailand Digital Signal Processing Research Laboratory Department of Electrical Engineering Chulalongkom University Bangkok Thailand
Video object segmentation for object based video coding according to MPEG-4 should be able to combine many features of the image sequence to achieve high quality object segmentation. The significant features include c... 详细信息
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Quantum neural networks versus conventional feedforward neural networks: an experimental study
Quantum neural networks versus conventional feedforward neur...
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IEEE Workshop on Neural Networks for signal Processing
作者: R. Kretzschmar R. Bueler N.B. Karayiannis F. Eggimann Signal and Information Processing Laboratory Swiss Federal Institute of Technology Zurich Switzerland Department of Electrical and Computer Engineering University of Houston Houston TX USA
This study investigates the capacity of quantum neural networks (QNNs) to function as fuzzy classifiers. For this purpose, QNNs are compared with multilayer feedforward neural networks (FFNNs). The experiments are per... 详细信息
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