alphatrimmedmedian

Pointers On C里的一个小程序(Pointers On C in a small program)

说明：  RBF的MATLAB M文件实现。不是MATLAB的工具箱函数。(RBF the realization of the MATLAB M files. MATLAB is not a function of the toolbox.)

用几种函数实现傅里叶变换，变换后可输出图形(With several functions for Fourier transform, transform graphics output)

BPSK在AWGN信道下的仿真程序，matlab代码(BPSK in AWGN channel under the simulation program)

子阵级自适应天线数字波束行程方法研究，线性最小化方差方法(Subarray adaptive antenna the digital beam travel method, linear minimum variance method)

dtw改进算法源码 在matlab下试验 可以很好识别语音(dtw source under test can be very good at matlab voice recognition)

说明：  MATLAB 即有内建的解决很多通常遇到的曲线拟合问题的能力， 又具有附加这方面的 产品。本技术手册描述了几种拟合给定数据集的曲线的方法(MATLAB built-in solution that is often encountered in many curve fitting problems, but also has additional products in this area. This technical manual describes several data sets fit the curve of a given method)

This program basically count every character that is in a text. The program opens de text an reads it, stores data in a matrix and count characters that are in Ascii code and writes the results in a new text file

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. )

说明：  用matlab的绘图功能，绘制特定函数的三维图像。实现matlab功能里随机数的产生和改变(Use matlab's drawing function to draw a three-dimensional image of a specific function. Realize the generation and change of random numbers in matlab functions)