James-Stein state filtering algorithms

A Family of Selective Partial Update Affine Projection Adaptive Filtering Algorithms

In this paper we present a general formalism for the establishment of the family of selective partial update affine projection algorithms (SPU-APA). The SPU-APA, the SPU regularized APA (SPU-R-APA), the SPU partial rank algorithm (SPU-PRA), the SPU binormalized data reusing least mean squares (SPU-BNDR-LMS), and the SPU normalized LMS with orthogonal correction factors (SPU-NLMS-OCF) algorithms...

Estimation of the Multivariate Normal Mean under the Extended Reflected Normal Loss Function

Delay Spoofing Reduction in GPS Navigation System based on Time and Transform Domain Adaptive Filtering

Due to widespread use of Global Positioning System (GPS) in different applications, the issue of GPS signal interference cancelation is becoming an increasing concern. One of the most important intentional interferences is spoofing signals. An effective interference (delay spoof) reduction method based on adaptive filtering is developed in this paper. The principle of method is using adaptive f...

LINEAR AND BILINEAR T ( b ) THEOREMS À LA STEIN

In this work, we state and prove versions of the linear and bilinear T (b) theorems involving quantitative estimates, analogous to the quantitative linear T (1) theorem due to Stein.

Speech Enhancement by Modified Convex Combination of Fractional Adaptive Filtering

This paper presents new adaptive filtering techniques used in speech enhancement system. Adaptive filtering schemes are subjected to different trade-offs regarding their steady-state misadjustment, speed of convergence, and tracking performance. Fractional Least-Mean-Square (FLMS) is a new adaptive algorithm which has better performance than the conventional LMS algorithm. Normalization of LMS ...