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Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System
Blind Identification Matlab Code
-Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System Blin Matlab d Identification Code
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这是一个有关基于子空间的盲辩识和盲均衡算法.-This is a space on the blind identification and blind equalization algorithm.
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这是一个基于二阶统计特性的MIMO系统盲辩识!大家多多的互相交流哦!-this is a second-order based on the statistical characteristics of MIMO Blind Identification System! Members can exchange the Oh!
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这是CISS会议上发表的著名论文“Tensor Canonical decomposition based method for blind identification of MIMO system with 3-input 2-output case”的源程序，主要是讲基于张量规范分解的多天线系统的忙识别问题，里边包含了相应的文章，可以一起对照着看。-conference on the famous treatise "Tensor Canonical deco mposition
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声纹识别的特征参数提取,盲信号用于语音识别maltab程序代码,里面有相关语音文件，很不错
-Voiceprint identification of the feature extraction and blind signal for speech recognition maltab code, which has the relevant sound files, very good
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Frequency Domain Blind MIMO System Identification Based on Second- and Higher Order Statistics
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fastica-在matlab环境下进行盲识别-fastica-in matlab environment Blind identification
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SOBI算法，基于二阶统计量的独立成分分析算法，用于混合语音的盲分离。-SOBI algorithm, Second-Order Blind Identification algorithm, used in blind speech signal separation
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基于互谱的盲信道辨识与均衡.单输入两输出情况(两接收天线）.支持M-PAM、QAM两种调制方式 -Cross-Spectrum Based Blind Channel Identification and Equalization:
Methodology and MATLAB Code
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基于图像处理的盲道识别文章给出了识别的算法研究-Blind identification based on image processing article gives recognition algorithm
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仿真了盲辨识RLS和LMS算法的时间平均信干比，分析了两者的多址干扰抑制能力-Simulation of the blind identification algorithm RLS and LMS average signal to interference ratio of the two algorithms of multi-access interference suppression
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用MATLAB写的信道辨识与盲估计的有关数据处理的源程序-MATLAB was used identification and blind channel estimation of the data processing of the source
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这是关于中心大动脉与外围动脉如桡动脉，股动脉的临床医学数据，用这些数据进行盲辨识与估计-This is the main artery on the central and peripheral arteries such as the radial artery, femoral artery of the clinical data, using these data for Blind Identification and Estimation
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在盲辨识系统中，非常关键的是如何获得最好的辨识效果，这里采用了多种方法，通过系统建模，并比较方法-In blind identification system is critical to identify how to get the best effect, this uses a variety of ways, through system modeling, and comparison
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利用现代谱估计中的AR 模型求取仿真噪声信号和真实噪声信号的模型参数，然后利用这些参数求得信号的功率谱图，通过功率谱图定性地描述主噪声源和次噪声源。在利用信号功率谱图定性描述噪声源后，进一步地利用曲线相似度和曲线关联度定量的识别主噪声源和次噪声源-Use of modern spectral estimation of AR model to strike a realistic simulation of the noise signal and noise model parameters,
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这里上传的程序源代码基于最新盲信道估计调研后做的一些算法仿真，主要涉及的是统计方法，比较多的涉及二阶和高阶统计-blind channel identification
sos
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Single-Channel Blind Identification with FIR Filter Design in Frequency Domain
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Blind Identification of MIMO Channels for Zero Padding Block Transmission rrSystems
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This paper helps in Blind Identification and Equalization of MIMO
FIR Channels Based on Subspace Decomposition
and Independent Component Analysis
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OFDM盲识别仿真的接收端，对OFDM信号进行符号持续时间，循环长度和子载波数量的估计-OFDM blind identification, simulation of the receiving end of OFDM signal symbol duration, cycle length and the subcarrier number of estimates
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