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Channel Identification Machines
Joint Authors
Slutskiy, Yevgeniy B.
Lazar, Aurel A.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-14
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
We present a formal methodology for identifying a channel in a system consisting of a communication channel in cascade with an asynchronous sampler.
The channel is modeled as a multidimensional filter, while models of asynchronous samplers are taken from neuroscience and communications and include integrate-and-fire neurons, asynchronous sigma/delta modulators and general oscillators in cascade with zero-crossing detectors.
We devise channel identification algorithms that recover a projection of the filter(s) onto a space of input signals loss-free for both scalar and vector-valued test signals.
The test signals are modeled as elements of a reproducing kernel Hilbert space (RKHS) with a Dirichlet kernel.
Under appropriate limiting conditions on the bandwidth and the order of the test signal space, the filter projection converges to the impulse response of the filter.
We show that our results hold for a wide class of RKHSs, including the space of finite-energy bandlimited signals.
We also extend our channel identification results to noisy circuits.
American Psychological Association (APA)
Lazar, Aurel A.& Slutskiy, Yevgeniy B.. 2012. Channel Identification Machines. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-454763
Modern Language Association (MLA)
Lazar, Aurel A.& Slutskiy, Yevgeniy B.. Channel Identification Machines. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-454763
American Medical Association (AMA)
Lazar, Aurel A.& Slutskiy, Yevgeniy B.. Channel Identification Machines. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-454763
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454763