cellular-automatta-GKL

说明：  基于MATLAB解常微分方程组的详细介绍，解法分类(Solution of ordinary differential equations based on MATLAB )

DOA估计，空间平滑MUSIC算法的MATLAB程序(DOA )

PSO or particle swarm optimization code in MATLAB

车间作业调度问题遗传算法Matlab源码,用于解决车间的调度问题(Job Shop Scheduling Problem Matlab genetic algorithm source code for the solution to the scheduling problem workshop)

APF SVG matlab souce

1Dimesion FDTD MATLAB Codes for Rectangular Resonator

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. )

集体智慧编程。。关于数据挖掘和网络的一本经典书。。。(Programming Collective Intelligence. . Data mining and network on a classic book. . .)

一本关于MATLAB编程的经典英文教程，教你如何写出最简洁的matlab代码(MATLAB programming a classic English tutorial, teach you how to write a simple matlab code)

主成分回归在matlab上的实现，有详细介绍，简单易懂。(Principal Component Regression in matlab implementation are detailed, easy to understand.)