Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mohamed L. Hambaba"'
Publikováno v:
Journal of Intelligent and Fuzzy Systems. 5:155-165
An asynchronous transfer mode ATM network is a high-speed multimedia network that handles various kinds of traffic with different bit rates and different qualities of services QoS. To maintain QoS for each traffic source and to avoid a possible conge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::561cfb22aaa1c6a2618d55ee1bc87837
https://doi.org/10.3233/ifs-1997-5206
https://doi.org/10.3233/ifs-1997-5206
Autor:
Mohamed L. Hambaba
Publikováno v:
Applied optics. 33(14)
A robust method for deblurring random blur is introduced. The image is assumed to be distorted by a linear system whose impulse response function is itself random and by additive noise whose spectral density is known only to be in the neighborhood of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a702a94f469ba3bb19f39d5fa120a0e
https://pubmed.ncbi.nlm.nih.gov/20885648
https://pubmed.ncbi.nlm.nih.gov/20885648
Autor:
Mohamed L. Hambaba
Publikováno v:
Circuits, Systems, and Signal Processing. 11:365-376
The author addresses the problem of robust linear estimations when the noise follows a wide-sense stationary process with its spectral density known to be in the neighborhood of some specified spectral density (i.e., white noise). The robust estimato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::138ed0a9328530bd77806862fb756426
https://doi.org/10.1007/bf01190981
https://doi.org/10.1007/bf01190981
Autor:
Mohamed L. Hambaba
Publikováno v:
Signal Processing. 26:359-368
This paper addresses the problem of robust linear estimations of systems perturbed by noise with a wide sense stationary process (WSS). The noise spectral density is known only to be in a neighborhood of some specified spectral density. Additionally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65cbac398305a03496a3a8017f0a9a28
https://doi.org/10.1016/0165-1684(92)90120-l
https://doi.org/10.1016/0165-1684(92)90120-l
Autor:
Mohamed L. Hambaba
Publikováno v:
IEEE International Symposium on Circuits and Systems.
An approach to unsupervised learning in a feedforward neural network is discussed. The linear feedforward neural network is similar to the principal component analysis, which is a linear reduction technique. Some nonlinear curvatures are embedded in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1949d36519bc8dc9627baf77a9084b6
https://doi.org/10.1109/iscas.1990.112703
https://doi.org/10.1109/iscas.1990.112703
Publikováno v:
SPIE Proceedings.
We present connectionist classifiers that form distributed low-level knowledge representations for pattern recognition, given random feature vectors generated from dual statistically distinct sources. The classifier is a functional representation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::561416a2358a657d4bc7dee47a80a996
https://doi.org/10.1117/12.160600
https://doi.org/10.1117/12.160600
Publikováno v:
SPIE Proceedings.
The basic idea of the system proposed in this paper lies in the fact that an image usually includes areas of different significance, so we have to code them in a different way to reach an accurate reproduction. Our system divides an image into areas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35241230c0abb205abc41458dc4bf205
https://doi.org/10.1117/12.140019
https://doi.org/10.1117/12.140019
Autor:
Inn-Tai Jaiu, Mohamed L. Hambaba
Publikováno v:
SPIE Proceedings.
We introduce a modified technique for restoring an image that has been distorded by a linear system whose impulse response function is itself random, and in the presence of detection of a long tailed noise. A robust non-parametiic function estimation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ac021d0691429c1e8ef2afd45246afe
https://doi.org/10.1117/12.23615
https://doi.org/10.1117/12.23615
Autor:
Mohamed L. Hambaba
Publikováno v:
1989 American Control Conference.
We present a new criterion for selecting the order of a non-stationary AR model. It is based on the predictive least-squares principles and is implemented in a computational efficient way by predictive lattice filters. We prove the consistency of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38c77ef56690e2e115314afd915b073b
https://doi.org/10.23919/acc.1989.4790374
https://doi.org/10.23919/acc.1989.4790374
Conference
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