crc_rs_jiaozhi

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. )

基于主元分析的多元线性回归程序,输出回归系数，主元贡献率和拟合误差(multiple linear regression using pca)

Matlab simulink radar

Programa que resuelve un sistema de 4 Ecuacione 4 Incognitas Factorizacion LU (Metodo Doolitle)

binary GA matlab code

在网上找到的代码 在网上那个找到的系统辨识与自适应控制程序 大家分享(Online to find the code online that found in the system identification and adaptive control procedures to share)

相信介绍了模式分类的各种方法，经典著作。(Believe that introduces various methods of pattern classification, classics.)

说明：  谱估计中的自回归模型（AP）算法，适合阵列信号处理初学者学习(Spectral Estimation autoregressive model (EM) algorithm)

基本的群智能算法MatLab范例程式,对刚接触PSO的新手来说,可以有初步的认知(Basic particle swarm optimization source code)

二阶粒子群算法，微粒的飞行速度变化与位置变化有关(SecPSO)