Results 291 to 300 of about 890,170 (340)

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 J, Trusseli, M S, Kulkarni
openaire   +2 more sources

Compressed Signal Processing on Nyquist-Sampled Signals

IEEE Transactions on Computers, 2016
Pattern-recognition algorithms from the domain of machine learning play a prominent role in embedded sensing systems, in order to derive inferences from sensor data. Very often, such systems face severe energy constraints. The focus of this work is to mitigate the computational energy by exploiting a form of compression which preserves a similarity ...
Jie Lu, Naveen Verma, Niraj K. Jha
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Sync signal processing for asynchronously sampled video signals

2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2002
Digital sync signal processing for asynchronously digitized video signals is presented. A simplified matched filter for sync extraction and a linear prediction method for sync pulse filtering improves image stability significantly in comparison with a conventional phase-locked-loop (PLL) approach.
R. Lares, A. Rothermel
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Linear processing of nonuniformly sampled signals

[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems, 2002
The authors describe a novel approach, based on a coordinate transformation, that can process nonuniformly sampled signals efficiently, in the sense that the number of computations for processing the nonuniformly spaced data will be the same as in the uniform sampling case for the same number of samples in both cases. In situations where the nonuniform
Y. Feria, J. McPherson
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Sparse sampling of non-stationary signal for radar signal processing

2013 IEEE International Conference on Communications Workshops (ICC), 2013
Estimating the spectrogram of non-stationary signal relates to many important applications in radar signal processing. In recent years, coprime sampling and array attract attention for their potential of sparse sensing with derivative to estimate autocorrelation coefficients with all lags, which could in turn calculate the power spectrum density.
null Qiong Wu, Qilian Liang
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Processing of signals using level-crossing sampling

2009 IEEE International Symposium on Circuits and Systems, 2009
This paper treats signals encoded using level crossing sampling. Such encoding makes possible a variable sampling rate; fast-varying parts of the signal are sampled fast, while slowly-varying parts of the signal are sampled slowly. We propose a technique for processing such signals, which results in an output with very low error.
Christos Vezyrtzis, Yannis Tsividis
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Signal processing via sampled-data control theory

Impact, 2020
Digital sounds and images are used everywhere today, and they are all generated originally by analogue signals. On the other hand, in digital signal processing, the storage or transmission of digital data, such as music, videos or image files, necessitates converting such analogue signals into digital signals via sampling. When these data are sampled,
Yutaka Yamamoto, Kaoru Yamamoto, Masaaki Nagahara, Pramod P Khargonekar   +3 more
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RF Sampling and Signal Processing

2013
As seen in Fig. 2.12 in Chap. 2, this spectrum sensing architecture uses an RF sampler followed by discrete time signal processing in the analog domain. Specifically, passive charge domain computations are utilized for signal processing followed by digitization.
Bodhisatwa Sadhu, Ramesh Harjani
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Additive random sampling for radar signal processing

2017 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), 2017
This paper gives an overview of challenges and opportunities in digital non-equidistant signal processing. It is pointed out that contrary to common thought non-equidistant signal processing might be of crucial interest to application, bringing important advantages for harmonics detection without having to consider Nyquist restrictions.
F. Particke, A. Schmidt, C. Rugheimer, T. Mahr   +3 more
openaire   +1 more source

FFT processing of randomly sampled harmonic signals

IEEE Transactions on Signal Processing, 1992
The influence of random instabilities in the sampling instants on spectral estimation by the fast Fourier transform (FFT) of harmonic, stochastic processes is considered. The degradation due to the deviation from a uniform sampling is presented by explicit formulas.
A. Berkovitz, I. Rusnak
openaire   +1 more source