Computer Platform Adaptive Interference Cancellation Using Higher-Order Statistics
نویسندگان
چکیده
منابع مشابه
Computer Platform Adaptive Interference Cancellation Using Higher-Order Statistics
Broadband wireless interference in a computer platform is the result of multiple dynamic electromagnetic emission sources. This interference is non-Gaussian and a receiver design based on the Gaussian assumption will yield suboptimal performance. In fact, it has a double-sided K-distribution and needs to be treated differently in the design process. When dealing with this type of interference i...
متن کاملAdaptive filtering using Higher Order Statistics (HOS)
The performed job, in this study, consists in studying adaptive filters and higher order statistics (HOS) to ameliorate their performances, by extension of linear case to non linear filters via Volterra series. This study is, principally, axed on: Choice of the adaptation step and convergence conditions. Convergence rate. Adaptive variation of the convergence factor, according to the inpu...
متن کاملAdaptive Blind Equalization Using Second- and Higher Order Statistics
AbstructThis paper presents two classes of adaptive blind algorithms based on secondand higher order statistics. The first class contains fast recursive algorithms whose cost functions involve second and thirdor fourth-order cumulants. These algorithms are stochastic gradient-based but have structures similar to the fast transversal filters (FTF) algorithms. The second class is composed of two ...
متن کاملVoice Activity Detection Using Higher Order Statistics
A robust and effective voice activity detection (VAD) algorithm is proposed for improving speech recognition performance in noisy environments. The approach is based on filtering the input channel to avoid high energy noisy components and then the determination of the speech/non-speech bispectra by means of third order autocumulants. This algorithm differs from many others in the way the decisi...
متن کاملImage Restoration using Higher Order Statistics
Most of the techniques for image restoration are based on some known degradation models. But in many situations it is difficult to accurately measure the degradation factors or noise type that is the real motivation behind the use of blind deconvolution technique for image restoration. Here the observed degraded image is restored without having any prior knowledge about the noise type. Most of ...
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: Circuits and Systems
سال: 2015
ISSN: 2153-1285,2153-1293
DOI: 10.4236/cs.2015.610021