搜索资源列表
Cyclo
- 卷积混合和线性瞬时混合循环平稳信号盲分离-Blind separation of cyclostationary
xinhao
- 信号盲分离的程序,对盲信号处理的可以作为参考-Blind separation procedures, blind signal processing can be used as reference
mangxinhaoBBS
- 该文件采用BBS算法能够实现盲信号的分离,分离效果很好,输入为两种信号的非线性叠加,经过仿真效果很明显!-The document can be achieved using BBS algorithm for blind signal separation, separation a good effect, input non-linear superposition of two kinds of signals, through simulation effect is obvious!
blindsignal
- 研究盲信号的盲分离原仿真程序,其中有一个是应用ICA的-Of blind signal separation from the original simulation program, one of which is the application of ICA,
ica_cdma
- 程序对盲信号分离空时多用户检测器的仿真 ,但在程序中A用了随机矩阵,而没有用空时阵列中的阵列响应矩阵-Blind signal separation program space-time multiuser detector simulation, but in the process with a random matrix A, but not with an empty array when the array response matrix
code2
- 盲信号分离中算法中的ELSA算法,是自然梯度发的改进-Blind signal separation algorithm ELSA algorithm to improve the natural gradient hair
Program_Matlab
- 考虑典型的盲信源分离问题,用自然梯度算法实现盲信号分离。在盲信号分离中,用串音误差:作为衡量信号分离的性能指标。 -Consider the typical problem of blind source separation, natural gradient algorithm using blind signal separation. In the blind signal separation, with the crosstalk error: signal separation
PCAaICA
- 主成分分析和独立成分分析,分别处理降维问题和盲信号分离问题-Principal component analysis and independent component analysis, dimensionality reduction, respectively, deal with the problems and blind signal separation
bssg
- 在windows matlab环境下实现卷积模型下的信号盲源分离-In matlab simulation environment, convolutive BSS problem is solved.
main
- 阵列分析和数据处理的一个典型问题是从混合的观测数据向量中恢复不可观测的各个源信号。盲信号分离是解决这个问题的一门新技术,近几年吸引了信号处理学界和神经网络学界众多学者的研究兴趣。本文对一个典型的盲信号分离问题进行了仿真实验,并研究了采用不同的自适应步长带来的影响。-Blind signal separation
chenxiaocen
- 盲信号分离(BSS)指在源信号混合和传输信道未知的情况下,只利用接收天线的输出观测混合信号抽取源信号的方法。本文简要阐述了常用的瞬时混合盲信号分离的LMS与RLS自适应算法,对RLS自适应算法重点研究分析了基于普通梯度与自然梯度的两种算法,并通过仿真实验来分析比较几种方法的性能。-Blind signal separation (BSS) refers to the source signal and transmission channel mixing unknown circumstanc
cxc
- 在源信号和传输信道未知情况下,只利用接收天线的观测数据抽取源信号,称为盲信号分离.盲信号分离不仅是信号处理界、而且也是神经网络界的研究热点课题,在无线数据通信、雷达、图像、语音、医学以及地震信号处理等领域都具有广阔的应用前景.采用自然梯度法和分阶段学习法。-The source signal and transmission channel is unknown circumstances, using only observational data extraction receiving a
ICA
- 独立分量分析(ICA)以非高斯源信号为研究对象,在统计独立的假设下,对多路观测到的混合信号进行盲信号分离,已广泛应用于无线通信、生物信号提取、语音信号处理、图像处理和噪声抑制等领域。 -The independent component analysis (ICA) addresses non-Gaussian source signals under amusing independent each other, it performs blind separation for multi-c
Fasticabss
- 快速定点算法在语音盲信号分离中的应用,方法很实用,有效的分离了语音盲信号。-Fast fixed-point algorithm blind signal separation in the voice application, the method is very practical and effective voice blind signal separation.
BlindSourceSeparation
- 利用自然梯度算法来对于5 类信号进行盲信号分离,采用自然梯度法对混合的信号进行 分离并分析其性能,并比较不同步长对于信号分离的影响-Use of the natural gradient algorithm for the five types of signals blind signal separation, using the natural gradient method for mixed signal Separation and analysis of its perfo
BlindSignalAdaptiveAlgorithms
- 针对瞬时混合盲信号分离的自适应算法进行调研和比较,对于LMS,RLS算法(包括基于普通梯度和自然梯度两种)进行仿真验证,并对一些未知图像的混合进行分离。-Blind signal separation for instantaneous mixture algorithm for adaptive research and comparison, for the LMS, RLS algorithms (including gradient and natural gradient based
fenli
- 盲信号分离的matlab程序,处理四个随机信号,并将FASTICA算法和PCA算法解混后的信号对比-Blind Signal Separation in Matlab procedures, handling four random signals, and contrast the FASTICA algorithm and PCA algorithm for mixed signal
mfl
- 基于最大信噪比的盲信号分离,采用MATLAB环境实现程序仿真-Maximum signal to noise ratio-based blind signal separation
fastica
- 用快速独立分量实现盲信号分离的源码程序,已经编译过的,可用-Fast independent component to realize blind signal separation