m-files

dct变换的MATLAB实现，供大家学者参考(dct transform MATLAB realization of reference for all scholars)

标准的SPIHT程序，可以看到原始图像，重构图像，残差图像，小波分解图像。(Standard SPIHT program, you can see the original image, the reconstructed image, the residual image, wavelet decomposition.)

A Survey of Genetic Algorithms do autor M. Tomassini

Matlab classic program about Arithmetic

matlab code for mdct

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. )

逆变器使用的svpwm脉冲simulink仿真，脉冲和桥臂开关对应顺序已经注明。(Svpwm pulse inverter using simulink simulation, pulse, and bridge arm switches corresponding order has been noted.)

北京林业大学关于matlab课程的最新课件，非常的详细，尤其对矩阵计算部分非常好。值得作为参考(Beijing Forestry University courses on the latest courseware matlab, very detailed, especially for matrix calculation part of the very good. Worthwhile as a reference)

基于matlab的fft信号谱分析，基于matlab的fft信号谱分析，基于matlab的fft信号谱分析(Based on signal spectral analysis matlab' s fft)

this program can be used as an auxiliary functions to develop security based applications