RLS

作品数:475被引量:1170H指数:13
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相关作者:梁永明王维治罗汉文朱军谢东垒更多>>
相关机构:上海交通大学华中科技大学西安电子科技大学哈尔滨工程大学更多>>
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WIDELY LINEAR RLS CONSTANT MODULUS ALGORITHM FOR COMPLEX-VALUED NONCIRCULAR SIGNALS被引量:1
《Journal of Electronics(China)》2014年第5期416-426,共11页Zhang Ting Wang Bin Liu Shigang 
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...
关键词:Complex-valued noncircular signals Blind equalization Widely Linear(WL) filtering Constant modulus 
A RESEARCH OF UWB RAKE RECEIVER BASED ON NOVEL RLS ADAPTIVE ALGORITHM被引量:2
《Journal of Electronics(China)》2006年第3期341-345,共5页Yin Yong Yu Nenghai Dong Weijie 
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 ...
关键词:UltraWide Band (UWB) RAKE receiver Recursive Least Squares (RLS) 
TPC-BASED STBC MULTIUSER DETECTION WITH LSE-RLS ALGORITHM
《Journal of Electronics(China)》2006年第1期23-25,共3页Du Yinggang Chan Kam Tai 
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...
关键词:Turbo Product Code (TPC) Space-Time Block Coding (STBC) MULTIUSER Least Square Error(LSE) Recursive Least Square (RLS) 
FAST RECURSIVE LEAST SQUARES LEARNING ALGORITHM FOR PRINCIPAL COMPONENT ANALYSIS被引量:8
《Journal of Electronics(China)》2000年第3期270-278,共9页Ouyang Shan Bao Zheng Liao Guisheng(Guilin Institute of Electronic Technology, Guilin 541004)(Key Laboratory of Radar Signal Processing, Xidian Univ., Xi’an 710071) 
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...
关键词:Neural networks Principal component analysis Auto-association RECURSIVE least squares(RLS) learning RULE 
FINITE WORDLENGTH ANALYZING FOR RLS SYSTOLIC ALGORITHM BASED ON THE SQUARE-ROOT-FREE SCALED GIVENS ROTATIONS
《Journal of Electronics(China)》1997年第4期367-373,共7页Xiong Jun Liao Guisheng Wu Shunjun(Key Laboratory of Radar Signal Processing, Xidian University, Xj’an 710071) 
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...
关键词:Linear least SQUARES MINIMIZATION problem Adaptive signal processing SYSTOLIC array 
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