This paper presents a robust error variance estimation rule for the nonparametric variable step-size normalized least mean square (NPVSS-NLMS) algorithm. The proposed variance estimation rule accurately estimates the variance of the error signal. This is achieved by the variable exponential windowing ...
摘要: VSS(Valuable step-size) NLMS(Normalized Least Mean Square) . Quasi-Newton family , DFP(Davidon-Fletcher-Powell) method , step-size , . memory polynomial , (Indirect learning) . LMS, RLS . WCDMA 1FA , MSE -70 , ±5 -74 c ACLR ....
A nonparametric VSS NLMS algorithm Jacob Benesty,Hernan Rey,Leonardo Rey Vega,... - 《IEEE Signal Processing Letters》 - 2006 - 被引量: 494 Improved neural network based scene-adaptive nonuniformity correction method for infrared focal plane arrays Rui Lai...
exe.rar_VSS nlms_VSS-NLMS_VSS-NLMS 手机滑屏检测_beta_cygl 解压中包含超声信号:signal20to23k,请用手机播放,同时mic录音(48k),手可以随时划过屏幕。录音过程可以讲话,播放噪音,敲击物体。VSS-NLMS设置建议FIRorder=64;mu=0.5;alpha=10^7;beta=0.1;gamma=0.99 ...
A nonparametric VSS NLMS algorithm. IEEE Signal Process. Lett. 2006, 13, 581–584. [Google Scholar] [CrossRef] Zhao, S.; Man, Z.; Khoo, S.; Wu, H.R. Variable step-size LMS algorithm with a quotient form. Signal Process 2009, 89, 67–76. [Google Scholar] [CrossRef] Hwang, J...
重庆水利电力职业技术学院是经重庆市人民政府批准设置、教育部备案的公办全日制普通高等院校。其前身是成立于1964年的“江津地区水利电力职业学校”, 之后曾分别易名为“江津地区水利电力学校”、“永川地区水利电力学校”、“重庆市水利电力学校”。2001年被评定为市 (省) 级重点中专学校;2001年筹建高等职业技术学院, ...
The experimental results show that the SNR of the vibration signal is 8.77 dB at 100 Hz and 0.07 s, and the SNR is improved to 26.17 dB after PCA-VSS-NLMS filtering; thus, the SNR is improved by 17.40 dB. This method can improve the SNR of the system's position information without ...
This paper presents a comprehensive study of the variable step-size normalized least-mean-square (VSS-NLMS) algorithm introduced by Zipf, Tobias, and Seara [IEEE International Telecommunications Symposium (September 2010)]. Specifically, taking into account white and correlated Gaussian input data, a ...
Variable Is Better Than Invariable: Sparse VSS-NLMS Algorithms with Application to Adaptive MIMO Channel Estimation[J] . Guan Gui,Zhang-xin Chen,Li Xu,Qun Wan,Jiyan Huang,Fumiyuki Adachi,Serkan Eryílmaz.The Scientific World Journal . 2014G. Gui, Z. Chen, L. Xu, Q. Wan, J. Huang, and...
Adaptive sparse channel estimation schemes based on normalized least mean square (NLMS) have been proposed to exploit channel sparsity for improved performance. However, their performance bound as derived in this paper indicates that the invariable step size (ISS) usually used for iteration in these ...