nonrigidICP

一个基于张量的工具包，工具包中包含了HOSVD。(a tensor toolbox)

couple 方法，可以用来实现大数据的综合评价和分析。(couple methods)

用matlab实现BCH和RS码的译码的仿真(Using matlab to achieve decoding BCH and RS Simulation)

A neuro-fuzzy method to learn fuzzy classification rules from data.

adaboost for data mining algorithm of boosting

GM(1,N) 灰度预测 n个变量 源码(GM (1, N) gray prediction n variables source)

大楼图像可以通用的几何畸变校正程序代码，不错。(The building images can be common geometric distortion correction code, yes.)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

iris recognition using haar wavelet

通过matlab中GUI实现的远程通信程序(A remote communication program implemented by GUI in MATLAB)