搜索资源列表
ocica97-p.rar
- 这是一篇ica盲源分离方法的技术文章 Overcomplete 的方法来解决,Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations
DOA_classical.rar
- 这是利用MUsic和盲分离算法求解DOA的程序,This is the use of MUsic and blind source separation algorithm procedures DOA
109201268icaML.rar
- 独立分量分析的matla b源代码。可用于盲信号处理和信号分离等等。,Independent Component Analysis matla b source code. Can be used in signal processing and blind signal separation and so on.
NMFLABSP_ver1.2.zip
- 盲源分离算法中，另一新的理论，非负矩阵分解（NMF）。数据包中有代码及GUI,Blind source separation algorithm, another new theory, non-negative matrix factorization (NMF). Packet has the code and GUI
neural-pca-ica.zip
- image separation using neural net,image separation using neural net
Time-Frequence
- 该程序是盲源分离算法中时域—频域分离算法，该算法应用范围广泛。-The procedure is blind source separation algorithm in time domain- the frequency domain separation algorithm, which a wide range of applications.
wogg
- 基于四阶统计量的盲源分离算法（它是特征矩阵联合对角化的简称）在特定情况下具有普遍的适用性-Fourth-order statistics-based blind source separation algorithm (which is the characteristic matrix joint diagonalization short) in a particular case of universal applicability
Burg
- 实现两个语音信号的分离，采用Burg算法-To achieve the separation of two speech signals using the Burg algorithm
splitmerge_matlab_program
- 关于图像分割、区域分离和合并的matlab程序-On image segmentation, region separation and merger procedures matlab
BSS_wavelet
- 小波域的盲源分离，可以有效地去除噪声，尤其是在胎儿心电提取方面-Wavelet domain blind source separation can effectively remove the noise, especially in regard to extraction of fetal ECG
dss_1-0
- Denoising source separation is a new source separation framework proposed by Jaakko Sä relä and Harri Valpola. It is based on denoising procedures. For more information, see the comprehensive journal paper Denoising source separation pu
mangfenli
- 盲源信号分离，快速高效的独立成分分析方法 希望对大家有用-Blind Source Separation, rapid and highly efficient method of independent component analysis for all of us hope that useful
BSS_Demo4SP_20Mar2k5
- 定点频域ICA，使用高斯函数、负熵最大化来处理语音信号分离问题的演示-FIXED-POINT FREQUENCY DOMAIN ICA with GENERALIZED GAUSSIAN FUNCTION BASED NEGENTROPY APPROXIMATION for SPEECH SIGNAL SEPARATION
endpointdetection
- 语音检测的目的是在一串连续的记录信号中将重要的信息分离出来。在电信应用领域，语音检测是必需的。对于自动语音识别，端点检测在分离重要语音信息时是必需的，这样可以产生语音模式或语音模板。-Voice detection is aimed at a string of consecutive records of information important signal will be separated. At the field of telecommunications applications
duanshinengliagn
- 语音信号的短时能量程序，可以实现清浊音分离-Short-time speech signal energy program, you can achieve the sound separation Qingzhuo
Uncertainumberofthevoicesignalsourceseparation
- 这是关于盲信号源分离技术的经典文章，主要用于盲信号源的分离。-This is a blind signal source separation on the classic technical articles, mainly used for blind source separation.
Predominant_Pitch_Detection
- 分 离 音 乐 和 背 景 声 音 的 代 码-Background music and sound separation of the code
jade
- 基于四阶统计量的盲源分离算法，它是特征矩阵联合对角化的简称-Fourth-order statistics-based blind source separation algorithm, it is the characteristic matrix referred to as the joint diagonalization
code
- ROBUST BLIND SEPARATION OF STATISTICALLY DEPENDENT SOURCES USING DUAL TREE WAVELETS
separation
- 采用子带GMM建模和贝叶斯理论来实现单信道混合语音的分离。主要分训练和分离两个阶段-Using sub-band GMM modeling and Bayesian theory to achieve the single-channel mixed audio separation. Mainly consists of two stages： training and separation