Results 281 to 290 of about 828,730 (334)

iSeizdiag: toward the framework development of epileptic seizure detection for healthcare. [PDF]

open access: yesFront Comput Neurosci
Sharma A   +7 more
europepmc   +1 more source

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 ...
M.S. Kulkarni, H.J. Trusseli
openaire   +3 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 ...
Niraj K. Jha, Jie Lu, Naveen Verma
openaire   +2 more sources

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.
Albrecht Rothermel, R. Lares
openaire   +2 more sources

The processing of periodically sampled multidimensional signals

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1983
This paper discusses algorithms for processing multidimensional signals which are sampled on regular, but nonrectangular sampiing lattices. Such sampling lattices are dictated by some applications and may be chosen for others because of their resulting symmetric responses or computational efficiencies.
T. Speake, Russell M. Mersereau
openaire   +2 more sources

Sampling and optimum data processing of detector signals

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1992
Abstract The optimum processing of data, obtained by sampling detector signals, is developed for signals known a priori in shape, their time of occurrence and amplitude being unknown. The processing is based on the maximum-likelihood method. The resolutions in the time and amplitude estimations of the pulse are compared with those obtained from an ...
BERTUCCIO, GIUSEPPE   +4 more
openaire   +2 more sources

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