A Fast Gradient Approximation for Nonlinear Blind Signal Processing
نویسندگان
چکیده
منابع مشابه
Three novel high-resolution nonlinear methods for fast signal processing
Three novel nonlinear parameter estimators are devised and implemented for accurate and fast processing of experimentally measured or theoretically generated time signals of arbitrary length. The new techniques can also be used as powerful tools for diagonalization of large matrices that are customarily encountered in quantum chemistry and elsewhere. The key to the success and the common denomi...
متن کاملBlind signal processing algorithms
The objective of this survey paper is the presentation of the main aspects associated with blind signal processing. The paper describes some of the most important blind signal processing methodologies and briefly presents the fundamental algorithms used for their implementation.
متن کاملA Modification of the Gradient Algorithm for Blind Signal Separation
We present a new gradient algorithm to perform blind signal separation (BSS). The algorithm is obtained by taking a trade-off between the ordinary gradient algorithm and the natural gradient algorithm. It provides a better performance than the ordinary gradient algorithm and is free from small-step-size restriction of the natural gradient algorithm. In addition, the algorithm has less computati...
متن کاملBlind Source Separation for Signal Processing Applications
Blind Source Separation (BSS) is a statistical approach to separating individual signals from an observed mixture of a group of signals. BSS relies on only very weak assumptions on the signals and the mixing process (hence the “blind” descriptor) and this blindness enables the technique to be used in a wide variety of situations. Research in the field of Blind Source Separation has resulted in ...
متن کاملNonlinear Phonocardiographic Signal Processing
The aim of this thesis work has been to develop signal analysis methods for a computerized cardiac auscultation system, the intelligent stethoscope. In particular, the work focuses on classification and interpretation of features derived from the phonocardiographic (PCG) signal by using advanced signal processing techniques. The PCG signal is traditionally analyzed and characterized by morpholo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cognitive Computation
سال: 2012
ISSN: 1866-9956,1866-9964
DOI: 10.1007/s12559-012-9192-x