yasuo

实现MATLAB的AM调制，解调的全过程，附图。望能审核通过~我会努力上传更好的源码。(MATLAB implementation of the AM modulation, demodulation of the entire process, drawings. Hopefully approved upload ~ I will work hard to source better.)

基于遗传算法的神经网络程序，共三个文件，主程序，适应值函数和应用示例(Based on genetic algorithm neural network, with a total of three documents, the main program, fitness function and application example)

用于进行eeg独立分量分析的多个函数，可以直接调用(EEG used for a number of independent component analysis function, can directly call)

lsqr.m 基于QR正交分解的最小二乘法......(lsqr.m QRLS............................)

书名：[MATLAB语言常用算法程序集].(龚纯).清晰版 内容：插值，函数逼近，特征值计算，数值微分，数值积分，方程求根，非线性方程组求解，线性方程组的直接法，线性方程组的的迭代法，随机数生成，特殊函数计算，常微分方程的初值问题，偏微分方程的数值解法，数据统计和分析。(Title: [MATLAB algorithms commonly used in assembly language]. (Gong pure). Clearer view of the contents: interpolation, function approximation, eigenvalue calculation, numerical differentiation, numerical integration, finding roots of equations, nonlinear equations, linear equations group, direct, linear equations of the iterative method, random number generation, calculation of special functions, initial value problems for ordinary differential equations, numerical solution of partial differential equations, statistics and analysis.)

This is a MATLAB code which provides the performance of a cyclic code.

kriging球面模型插值，matlab源码。(kriging interpolation spherical model, matlab source code.)

DCT图像压缩的程序，DCT图像压缩的程序(DCT image compression programs)

You can disable this diagnostic by setting Automatic solver parameter selection diagnostic to none in the Diagnostics page of the configuration parameters dialog. Warning: Square root of a negative number in afcabs/SMC2/Hydraulic Actuator1/Fcn2 . Warning: Division by zero in afcabs/Fa1 . Warning: Division by zero in afcabs/ABS/ w slip/Fa3 . Warning: Input to lookup table in afcabs/ABS/mu-slip friction curve is NaN.

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. )