An Independent Component Analysis(ICA) Circuit Design with Its Applications to Signal Separation
碩士 === 長庚大學 === 電子工程研究所 === 95 === Independent Component Analysis (ICA) is known as a novel algorithm which is developed to solve the blind signal source (BBS) problems. The characteristic of the algorithm is that it allows a direct separation for a number of mixed signals with unknown coefficients...
Main Authors: | Shin-Hung Tsai, 蔡信宏 |
---|---|
Other Authors: | Szi-Wen Chen |
Format: | Others |
Language: | zh-TW |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/56303234795705518043 |
Similar Items
-
A VLSI implementation of Independent Component Analysis (ICA) for Biomedical Signal Separation
by: Min Xian Wei, et al.
Published: (2017) -
A VLSI Architecture Design and Implementation of Independent Component Analysis (ICA) with its applications to Medical Signal Processing
by: 游世凱
Published: (2004) -
An Architectural Design and Realization of the Extended Independent Component Analysis (ICA) Algorithm
by: Chi Hung Ding, et al.
Published: (2010) -
A Low-Cost Independent Component Analysis (ICA) Chip Design
by: Shun Ping Wang, et al.
Published: (2019) -
A Study of Field Audio Signal Separation by Using Independent Component Analysis
by: Cheng-Tse Tsai, et al.
Published: (2006)