.png){kind=icon}
.png){kind=icon}
Return
Complementary Mean-Square Analysis of CNLMS Algorithm Using Pseudo-Energy-Conservation Method
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2020.3012825.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This study develops a pseudo-energy-conservation relation to analyze the complementary mean-square performance of a complex-valued normalized least mean-square (CNLMS) algorithm. Based on this relation, we derive a recursion describing the transient complementary mean-square deviation (CMSD) behavior of the CNLMS. Closed-form expressions to predict the steady-state CMSD and complementary excess mean-square error conjugate (CEMSEc) are obtained. Because this method inherits the advantages of the energy-conservation method, our results do not restrict the distribution of input signals. Numerical simulations validate our theoretical analysis results.
Keywords:
Complex NLMS
complementary mean-square
pseudo-energy-conservation
transient analysis
steady-state analysis
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W
Organization
View more organizations