نتایج جستجو برای: nonlinear signal processing
تعداد نتایج: 1010241 فیلتر نتایج به سال:
Chapeau-Blondeau, François, Stochastic Resonance and Optimal Detection of Pulse Trains by Threshold Devices, Digital Signal Processing 9 (1999), 162–177. The nonlinear detection by a threshold device of a periodic train of soliton-like pulses embedded in arbitrarily distributed white noise is studied. A theoretical model is developed which provides expressions for the signal-to-noise ratio at t...
A signal with low to noise ratio is always difficult be analysed by the traditional processing methods, especially vibration and acoustic signals that contain nonlinear, non-st...
We propose to apply a large predispersion (having the same sign as the transmission fiber) to an optical signal before the uncompensated fiber transmission in coherent communication systems. This technique is aimed at simplification of the following digital signal processing of nonlinear impairments. We derive a model describing pulse propagation in the dispersion-dominated nonlinear fiber chan...
Neural encoding of sensory signals involves both linear and nonlinear processes. Determining which nonlinear operations are implemented by neural systems is crucial to understanding sensory processing. Here, we ask if demodulation, the process used to decode AM radio signals, describes how Y cells in the cat LGN nonlinearly encode the visual scene. In response to visual AM signals across a wide...
Methods modeled by partial differential equations (PDEs), and wavelet-based shrinkage procedures belong to the most successful approaches to nonlinear signal processing. The two groups of methods are quite different on the first glance: PDE based methods find the solution iteratively, while wavelet shrinkage performs a single step on multiple scales of the signal. On the examples of total-varia...
This is a special issue published in volume 2003 of " EURASIP Journal on Applied Signal Processing. " All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Recent years have seen the emergence of a variety of new multimedia (text...
In this paper a new nonlinear signal processing technique, able to remove fog from color images exploiting the optical properties of the fog effect, is introduced. It is based on the use of cellular nonlinear networks (CNNs), a paradigm for nonlinear parallel image processing. The technique is applied to the analysis of several paintings by famous artists of different art movements, in which th...
An audiologic rationale for the application of digital signal processing techniques to hearing aids is developed. These techniques enable complex processing beyond that possible in presently available analog aids. A critical survey of algorithms for filtering, nonlinear processing, noise reduction, speech enhancement, and feedback reduction is presented. The paper concludes with a discussion of...
In signal processing applications, a key role is played by the Fourier transforms. The mathematical structure underlying Fourier analysis is the linear structure. In the present paper we propose and study a tool designed for nonlinear signal and image processing, that is novel Fourier-like transforms, based on a pair of pseudo-operations consisting of a uninorm and an absorbing norm. We analyse...
We experimentally demonstrate, for the first time, a chirped microwave pulses generator based on the processing of an incoherent optical signal by means of a nonlinear dispersive element. Different capabilities have been demonstrated such as the control of the time-bandwidth product and the frequency tuning increasing the flexibility of the generated waveform compared to coherent techniques. Mo...
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