Newtonpowerflow

The what,how,and why of wavlet shringkage denoising.(The what, how, and why of wavlet shringkage denoising.)

自适应信号处理，最终的权值矩阵就是滤波器的系数，学习曲线描述其收敛特性(Adaptive signal processing, the final weight matrix is the filter coefficient, the learning curve to describe the convergence properties)

高斯噪声产生的代码,含有射频噪声干扰的代码(Gaussian noise code, containing RF noise code)

ASK, PSK and FSK modulation using matlab

Application of two new ANN-based algorithms for arcing high impedance fault (HIF) detection in multigrounded medium-voltage (MV) distribution networks is presented in this paper

对几个混合的常规信号进行傅里叶变换，并将其分离开。然后对几个信号进行时频分析，并求出参数估计的误差。(Conventional signals of several mixed Fourier transform, and separated them. And then the several signal time-frequency analysis, and the parameter estimation error.)

一个非常不错的粒子滤波工具箱，基于面向对象的思想，matlab实现，实现非线性滤波，包括SIR，SIS粒子滤波以及相应的GUI实现(an object-oriented MATLAB toolbox for nonlinear filtering. It includes algorithms for SIR and SIS particle filters )

语音参数提取：短时过零率、短时能量、短时平均幅度、自相关序列、傅里叶分析(Speech parameters extraction: short-time zero-crossing rate, short-time energy, short-term average autocorrelation sequence, Fourier analysis)

algorithm to calculate the MMSE algorithm inlab mat

该matlab代码实现了“综合多分支分裂式层次化聚类” (Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC) “A competitive omnibus performance criterion for divisive multi-branching hierarchical clustering” by Soeria-Atmadja et al. (submitted). Note that OMB-DHC package is implemented in Matlab code and therefore demands the Matlab core program, as well as the Statistics toolbox of Matlab. Divisive hierarchical clustering (DHC) has emerged as a promising alternative for the identification of sub-structures in multivariate data. Of particular interest is multi-branching DHC, which allows flexible numbers of subclusters at each hierarchical level. One poorly explored issue in multi-branching DHC concerns the actual importance of the two performance criteria (and their associated algorithms) to automatically create clusters and select number of clusters, respectively. Another interesting but hitherto unexplored issue is the possibility to employ a single omnibus performance criterion that guide)