Gradient Adaptive Algorithms for Contrast-Based Blind Deconvolution

نویسندگان

  • Scott C. Douglas
  • Sun-Yuan Kung
چکیده

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive paraunitary filter banks for contrast-based multichannel blind deconvolution

In this paper, we present novel algorithms for multichannel blind deconvolution under output whitening constraints. The algorithms are inspired by recently-developed procedures for gradient adaptive paraunitary filter banks. Several algorithms are developed, including one algorithm that successfully deconvolves mixtures of arbitrary non-zero kurtosis source signals. We provide detailed local st...

متن کامل

Adaptive Blind Signal Processing—Neural Network Approaches

Learning algorithms and underlying basic mathematical ideas are presented for the problem of adaptive blind signal processing, especially instantaneous blind separation and multichannel blind deconvolution/equalization of independent source signals. We discuss recent developments of adaptive learning algorithms based on the natural gradient approach and their properties concerning convergence, ...

متن کامل

Frequency Domain Realization of a Multichannel Blind Deconvolution Algorithm Based on the Natural Gradient

This paper describes two efficient realizations of an adaptive multichannel blind deconvolution algorithm based on the natural gradient algorithm originally proposed by Amari, Douglas, Cichocki, and Yang. The proposed algorithms use fast convolution and correlation techniques and operate primarily in the frequency domain. Since the cost function minimized by the algorithms is welldefined in the...

متن کامل

Adaptive Blind Deconvolution Using Third-Order Moments: Exploiting Asymmetry

This thesis focuses on the use of third-order statistics in adaptive blind deconvolution of asymmetric impulsive signals. Traditional methods are typically based on fourthorder moments, which can discriminate signals with heavy-tailed probability functions (i.e. ‘spiky’ signals) from corresponding filtered versions. The work herein demonstrates that, by using third-order central moments, asymme...

متن کامل

Extrinsic Geometrical Methods for Neural Blind Deconvolution

The present contribution discusses a Riemannian-gradient-based algorithm and a projection-based learning algorithm over a curved parameter space for single-neuron learning. We consider the ‘blind deconvolution’ signal processing problem. The learning rule naturally arises from a criterion-function minimization over the unitary hyper-sphere setting. We consider the blind deconvolution performanc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • VLSI Signal Processing

دوره 26  شماره 

صفحات  -

تاریخ انتشار 2000