our multichannel filter
نویسنده
چکیده
Conclusions: In this Letter, I have presented a resistive network using a feedback mechanism able to extract phase information from an image for depth evaluation. The information, related to a single frequency, can be properly organised by a further network, or the resistive network itself can be tuned to a more complex behaviour (e.g. regularisation of data). The design of this network makes sense if we can integrate the acquisition and elaboration processes on the same substrate (i.e. analogue VLSI implementation). To this end, the complexity of the operations has been reduced to a small number of primitives that can be implemented, as a first approximation, by low-power analogue VLSI techniques 141.
منابع مشابه
Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution
Paraunitary filter banks are important for several signal processing tasks, including coding, multichannel deconvolution and equalization, adaptive beamforming, and subspace processing. In this paper, we consider the task of adapting the impulse response of a multichannel paraunitary filter bank via gradient ascent or descent on a chosen cost function. Our methods are spatio-temporal generaliza...
متن کاملMultichannel distance filter
A nonlinear multichannel digital filter is presented in this correspondence. The output is a weighted sum of all samples in the filter window, with a single parameter controlling the filter nonlinearity. Although input data ordering is not required, performance can surpass the performance of other ordering-based multichannel filters.
متن کاملBlind Dereverberation of a Single Source Based on Multichannel Linear Prediction
In this paper, we consider the blind multichannel dereverberation problem for a single source. The multichannel reverberation impulse response is assumed to be stationary enough to allow estimation of the correlations it induces from the received signals. It is well-known that a single-input multi-output (SIMO) filter can be equalized blindly by applying multichannel linear prediction (LP) to i...
متن کاملMultichannel L-filter design based on marginal data ordering
In this paper, we address the design of multichannel L-filters based on marginal data ordering using the Mean-Squared-Error as fidelity criterion. Design procedures subject to the constraints of unbiased or location-invariant estimation or without imposing any constraint are discussed. It is shown by simulations that the proposed multichannel L-filters perform better than other multichannel non...
متن کاملMultichannel noise reduction wiener filter in the Karhunen-Loève expansion domain
This paper explores the noise reduction problem in the KarhunenLoève expansion (KLE) domain from a multichannel perspective. Based on formulations proposed for the design of optimal singlechannel noise reduction in the KLE domain, we formulate the multichannel noise reduction in the KLE domain. Two different performance measures are presented: the noise reduction and speech distortion. The opti...
متن کاملGeneralized Selection Weighted Vector Filters
This paper introduces a class of nonlinear multichannel filters capable of removing impulsive noise in color images. The hereproposed generalized selection weighted vector filter class constitutes a powerful filtering framework for multichannel signal processing. Previously defined multichannel filters such as vector median filter, basic vector directional filter, directional-distance filter, w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004