搜索资源列表
lc-cma
- 恒模算法(CMA)是实际中应用最广的一种盲均衡算法，这里主要时提出了改进的lc-cma算法的源程序代码-Constant modulus algorithm (CMA) is the actual application of the most widely as a blind equalization algorithm, where the major improvements made by the lc-cma algorit
bbs1
- 盲信号分析-Blind Signal Analysis
saperate
- 信源数动态变化的自适应盲分离算法-一种新的盲源分离算法，与大家共享。-Source number of dynamic changes of adaptive blind source separation algorithm- a new blind source separation algorithm, and for all to share.
saperate2
- 基于规范高阶累积量的盲分离算法。有用的盲分离算法的文章。-Based on the norms of higher order cumulants of the blind source separation algorithm. Blind Separation Algorithm useful articles.
saperate3
- 《超高斯与亚高斯混合信号的盲分离研究》，有用的忙分离算法文章。- Super-Gaussian and sub-Gaussian mixed-signal study of blind source separation, separation algorithm busy useful article.
saperate4
- 基于广义特征值和核函数的非线性盲分离算法.pdf-Based on the generalized eigenvalue and nuclear function algorithm for nonlinear blind source separation. Pdf
saperate5
- 盲源分离——理论、应用与展望.pdf-详细介绍了盲源分离的理论和应用。-Blind Source Separation- Theory, Application and Prospects. Pdf-detailed information on blind source separation theory and applications.
CMA
- 一种新的基于数据可靠性判决引导的CMA盲均衡算法.pdf-A new decision-directed based on the data reliability of the CMA blind equalization algorithm. Pdf
PAST_disp_signal
- 基于非线性主分量分析(PAST)的 自适应盲信号分离 -Based on nonlinear principal component analysis (PAST) Adaptive Blind Signal Separation
20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the indep
newICA
- 一种新的ICA算法，能够很好地对一维信号进行盲源分离，并有例程-A new ICA algorithm, very good to be able to one-dimensional signals, blind source separation, and have routine
Filterbankbasedblindsignaseparationwithestimatedso
- 采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。-The use of filters will be blind source separation and sound
FastICA
- 盲源分离中最为经典的不动点算法——FastICA,该算法简单，对初学者有很大的帮助-Blind Source Separation in the most classical fixed-point algorithm- FastICA, the algorithm is simple, for beginners there is a great help
kpca
- KPCA是一种非线性的盲源分离方法，很好用，推荐大家下载！-KPCA is a nonlinear blind source separation methods, very good, and recommend everyone to download!
BS-NG
- 盲信号自然梯度法盲分离程序，用于进行瞬时盲分离-Natural Gradient Blind Signal Separation legal procedures, for instantaneous blind source separation
BSS_FastICA_matlab
- 用于盲信号分离的独立分量分析和主元分量分解以及独立分量分解的代码-For Blind Signal Separation of independent component analysis and principal component decomposition and independent component decomposition of the code
subspace_mimo
- 衰落信道下的盲估计研究\MIMO-OFDM,mimo子空间仿真程序-ofdm
dsmud_E44
- E4 盲多用户检测算法在AWGN信道下的性能 RLS-LMF算法-E4-blind multi-user detection algorithm in the AWGN channel the performance of RLS-LMF algorithm
ica_r
- 带参考信号的盲源分离，很好用的程序，用于语音增强-ICA-R
DS-CDMA
- Ds-cama系统中盲多用户监测研究，用于cdma研究领域中，监测平台的研究-Ds-cama system to monitor the blind multi-user research, for cdma area of research, monitoring platform