Results 221 to 230 of about 53,222 (261)

Delay-Lock Tracking of Stochastic Signals

IEEE Transactions on Communications, 1976
The measurement and tracking of the delay between two versions of a stochastic signal by cross-correlation techniques is considered. Such techniques have broad applications, e.g., interferometry, noncontact speed and distance measurement, etc. The paper begins by discussing the functional diagram of the tracking system.
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Stochastic Games with Signals

2016
We survey old and new results concerning stochastic games with signals and finitely many states, actions, and signals. We state Mertens’ conjectures regarding the existence of the asymptotic value and its characterization, and present Ziliotto’s (Ann Probab, 2013, to appear) counter, example for these conjectures.
Solan, Eilon, Ziliotto, Bruno
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Stochastic Resonance in Cochlear Signal Transduction

Acta Oto-Laryngologica, 1999
The use of a stochastic resonance model contributes crucially to our comprehension of the intensity resolution characteristics of the mammalian cochlea. In guinea pigs, as demonstrated by different statistical methods, the temporal distribution of the interspike intervals of the spontaneous activity reflects an intrinsic cochlear white noise process ...
K, Ehrenberger, D, Felix, K, Svozil
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Stochastic Signal Processing

2004
Although modulation and demodulation are deterministic, the information to be transmitted over a communication system, as well as the noise encountered in the physical transmission media, is random or stochastic. Although these phenomena cannot be predicted in advance, they have certain predictable characteristics which can be summarized in the random ...
John R. Barry, Edward A. Lee, David G. Messerschmitt   +2 more
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Impulses and stochastic arithmetic for signal processing

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
Explores the use of Poisson point processes and stochastic arithmetic to perform signal processing, functions. Our work is inspired by the asynchrony and fault tolerance of biological neural systems. The essence of our approach is to code the input signal as the rate parameter of a Poisson point process, perform stochastic computing operations on the ...
John F. Keane, Les E. Atlas
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Stochastic formulation of bandlimited signal interpolation

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 2000
We formulate the problem of bandlimited signal interpolation within a stochastic framework. Existing literature on this subject is fragmented and requires deep knowledge of probability, functional analysis, and estimation theory. In addition, previous developments have not clarified the relationship between the theories for the stochastic and ...
Choi, Hyeokho, Munson, David C. jun.
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A stochastic diffusion approach to signal denoising

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
We present a stochastic formulation of a linear diffusion equation (or heat equation), and in light of the potential applications ranging from signal denoising to image enhancement/segmentation of its nonlinear extensions, we propose a more general nonlinear stochastic diffusion.
Hamid Krim, Yufang Bao
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I.I.D. stochastic analysis of PWM signals

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014
A stochastic analysis for pulse width modulation (PWM) is given. Under a discrete random generator process with independent identically distributed (i.i.d.), continuous, range-limited samples, stochastic models for different PWM signals are proposed. Using randomization of the signal starting point, wide sense stationarity (WSS) of proposed PWM signals
Noyan C. Sevüktekin, Andrew C. Singer
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Signal detection statistics of stochastic resonators

Physical Review E, 1996
We consider the signal detection performance of networks of coupled overdamped nonlinear dynamic elements driven by a weak sinusoidal signal embedded in Gaussian white noise. In the "stochastic resonance" operating regime, (1) the detection performance exhibits a maximum reflecting the maximum in the signal-to-noise ratio, and (2) coupling ...
, Inchiosa, , Bulsara
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Signals with Stochastic Parameters

2001
The signal, in the act of being propagated and returned, is subjected to noise, which is the reason for changes in the signal structure. The changes in the signal structure caused by changes in the signal parameters, for example, the initial phase and amplitude of the signal, are not taken into account beforehand during signal processing and detection.
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