ex2

求解瞬时频率函数，一般在matlab时频分析中使用(Solve the instantaneous frequency function, usually in the time-frequency analysis using matlab)

说明：  中文版完善的matlab simulink 电气模块设计（SimPowerSystems）使用说明，一步一步教你电气模块(Chinese version of matlab simulink comprehensive modular design Electrical (SimPowerSystems) the use of that teach you step-by-step electrical module)

本代码为OFDM的原始MATLAB仿真代码，已通过验证为 好代码(The original MATLAB code for OFDM simulation code has been validated as a good source)

用matlab编写的图像反转程序，编写的目的主要是为模式识别整理样本而用，希望对大家有帮助。(Prepared using matlab image reversal process, the preparation of the main objective is to order samples and to use pattern recognition, in the hope you help.)

用于图像滤波，很好的程序，是图像滤波的很好的学习资料。(For image filtering, a very good program, image filtering is a good learning materials.)

matlab图像处理，matlab图形识别匹配应用程序源码(matlab image processing, matlab matching pattern recognition application source code)

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. )

小波包分析提取振动信号中的特征频率，最终的权值矩阵就是滤波器的系数，可直接计算得到多重分形谱。( Wavelet packet analysis to extract vibration signal characteristic frequency, The final weight matrix is ??the filter coefficient, It can be directly calculated multi-fractal spectrum.)

ga三中操作算子的改进，可以基于此版本根据自己的实际需要进行修改，然后应用(ga Operator III improvements, this version can be based on the actual needs in accordance with their own modifications, and then the application of)

自适应的多小波阀值算法，利用多小波去除噪声的matlab源代码(Multiwavelet adaptive threshold algorithm, using wavelets to remove noise in many source code matlab)