Supported by the National Natural Science Foundation of China(No.61072046);the Basic Scientific and Technological Frontier Project of Henan Province(No.1123004100322)
Based on the constant modulus criterion, a new Widely Linear(WL) blind equalizer and a novel widely linear recursive least square constant modulus algorithm are proposed to improve the blind equalization performance f...
Supported by the Chinese 863 National High Technology Program (No.2002AA783043)the National Natural Science Foundation of China (No.60390540).
A modified RAKE receiver based on novel Recursive Least Squares (RLS) adaptive algorithm is proposed. The receiver uses L-fingered correlators, which are composed of RLS adaptive filters, to enhance the performance ...
The Bit Error Rate (BER) performance of a Turbo Product Code (TPC) based Space-Time Block Coding (STBC) multiuser wireless system in the frequency-selective channels has been investigated. Both of the good error...
Supported by the National Natural Science Foundation of China;the Science foundation of Guangxi Educational Administration
Based on the least-square minimization a computationally efficient learning algorithm for the Principal Component Analysis(PCA) is derived. The dual learning rate parameters are adaptively introduced to make the propo...
The least squares(LS) minimization problem constitutes the core of many real-time signal processing problems. A square-root-free scaled Givens rotations algorithm and its systolic architecture for the optimal RLS resi...