Results 241 to 250 of about 1,489,994 (294)
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Compressed Signal Processing on Nyquist-Sampled Signals
IEEE Transactions on Computers, 2016Pattern-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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IEEE Transactions on Aerospace and Electronic Systems, 1981
In a recent paper [1], Brown examined the sampling of a real finiteenergy bandpass signal having an (angular) bandwidth ? (in radians per second) at the theoretically minimum (average) rate of ?/? samples per second. Following Grace and Pitt's [2] quadrature sampling, a particular case of Kohlenberg's second-order sampling [3, 4], Brown has proved the ...
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In a recent paper [1], Brown examined the sampling of a real finiteenergy bandpass signal having an (angular) bandwidth ? (in radians per second) at the theoretically minimum (average) rate of ?/? samples per second. Following Grace and Pitt's [2] quadrature sampling, a particular case of Kohlenberg's second-order sampling [3, 4], Brown has proved the ...
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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), 2002Digital 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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1982
Sampled-data signals have defined values only at certain instants of time, and arise whenever continuous functions are measured or recorded intermittently. In recent years such signals have come to assume great importance because of developments in digital electronics and computing.
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Sampled-data signals have defined values only at certain instants of time, and arise whenever continuous functions are measured or recorded intermittently. In recent years such signals have come to assume great importance because of developments in digital electronics and computing.
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Radiophysics and Quantum Electronics, 2001
We consider sampling of a scaled-invariant fractal Weierstrass-Mandelbrot function and propose a generalization of the Kotelnikov theorem for the Weierstrass-Mandelbrot using the higher transcendental Mittag-Leffler function.
K. A. Zakharov, R. P. Meilanov
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We consider sampling of a scaled-invariant fractal Weierstrass-Mandelbrot function and propose a generalization of the Kotelnikov theorem for the Weierstrass-Mandelbrot using the higher transcendental Mittag-Leffler function.
K. A. Zakharov, R. P. Meilanov
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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 Guler +3 more
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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 Guler +3 more
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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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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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Signals: Acquisition, Classification, Sampling
2021In this chapter we learn what a signal is and how signals can be classified: continuous or discrete-time, with analog or quantized values, deterministic or random, 1D/2D/3D or multi-dimensional, real-world or technically synthesized. We will become familiar with basics of digital signal acquisition systems, mainly from the sampling theory point of view.
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Sampling of generalized almost-cyclostationary signals
IEEE Transactions on Signal Processing, 2003In this paper, the problem of sampling a continuous-time generalized almost-cyclostationary (GACS) signal is addressed. The class of such nonstationary signals includes, as a special case, the almost-cyclostationary (ACS) signals. ACS signals filtered by some linear time-variant channels are further examples.
Napolitano, Antonio, Izzo, Luciano
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Sampling and processing of color signals
IEEE Transactions on Image Processing, 1996Digital 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
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