Results 221 to 230 of about 478,778 (267)

Sampling of Signals in Energy Domain

2005 IEEE Conference on Emerging Technologies and Factory Automation, 2006
The paper introduces a new event-based criterion for discrete representations of continuous-time signals, which can be used in intelligent sensors to report the current state of the observed object. The criterion is based on the control of the sampling error energy. The analytic approximation of the mean sampling rate for a given sampling resolution is
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Sampling theory for graph signals

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
We propose a sampling theory for finite-dimensional vectors with a generalized bandwidth restriction, which follows the same paradigm of the classical sampling theory. We use this general result to derive a sampling theorem for bandlimited graph signals in the framework of discrete signal processing on graphs.
Siheng Chen, Aliaksei Sandryhaila, Jelena Kovacevic   +2 more
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Robust Graph Signal Sampling

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
This paper considers the graph signal sampling problem when some of the selected samples are lost or unavailable due to sensor failures or adversarial erasures. We formulate a robust graph signal sampling problem where only a subset of selected samples are received, and the goal is to maximize the worst-case performance.
Basak Güler, Ajinkya Jayawant, Amir Salman Avestimehr, Antonio Ortega   +3 more
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Sampling and processing of color signals

IEEE Transactions on Image Processing, 1996
Digital signal processing tools are used to determine the proper sampling of color spectra and the effect of sampling on the accuracy of derived properties such as CIE tristimulus values and color rendering indexes. It is found that 10 nm sampling is adequate for most applications, but not for more exacting textile and paint matching applications ...
H. Joel Trussell, Manish S. Kulkarni
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Signal denoising with average sampling

Digital Signal Processing, 2012
Based on the theory of average sampling, we present a new algorithm to reconstruct bandlimited signals from sampled values in the presence of zero mean, independent and identically distributed random noises. Numerical results show that our algorithm has good performance on denoising.
Qingyue Zhang, Ling Wang, Wenchang Sun
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Adaptive Sampling of Speech Signals

IEEE Transactions on Communications, 1974
The present work gives a proposed method of sampling speech signals with a nonuniform sampling rate according to the magnitude of the slope of the signal, provided that the average sampling rate satisfies Shannon's requirements. With this proposed method, the quality of the reconstructed speech signal is improved.
Abd El-Samie Mostafa, Mohsen M. T. El-Hagry   +1 more
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Sampling and quantization of bilevel signals

Pattern Recognition Letters, 1993
Abstract Results are presented on the relationship between sampling interval, number of quantization levels, and the point spread function of the digitizer in order to achieve detection of light and dark areas of the input signal.
Theo Pavlidis, Minghua Chen, Eugene Joseph   +2 more
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Nonuniform sampling of nonbandlimited signals

IEEE Signal Processing Letters, 1995
We give a nonuniform sampling series for nonbandlimited functions (duration-limited functions of bounded variation), together with error bounds. The bound on the approximation error, remarkably, does not depend on the distribution of the sampling points. >
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Sampling and processing of color signals

Proceedings of 1st International Conference on Image Processing, 2002
The paper discusses the sampling of color spectra and its effect on the accuracy of derived properties such as CIE tristimulus values and color rendering indices. The effect of aliasing and common mathematical operations are discussed. >
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Signals and Sampling

2004
One- or multidimensional sampling of sensor information is the origin of natural- source digital multimedia signals. The methodologies of sampling have an eminent impact on any subsequent processing steps, including encoding and content analysis of signals.
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