kalkalman

It is a Group search optimization program code and the result is good.

《MATLAB有限元分析与应用》一本不错的教材(MATLAB finite element analysis and application)

pca lda kpca klda lpp matlab 特征降为方法，对于新手比较有用。(pca lda kpca klda lpp matlab code for dimension reduction. these are very useful for new researchers.)

说明：  社会保障行业研究,方法论研究,仅供参考.(Social Security industry research, methodological research is for reference only)

matlab 傅里叶变换 求包络 等对声音的处理文件(the matlab Fourier transform seeking envelope of sound processing files)

基于遗传算法的最优控制的研究，是一篇论文。(Based on genetic algorithms optimal control studies, is a paper.)

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. )

这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。希望对大家有帮助！ (This is based on the space-time block codes of MIMO_OFDM communication system simulation design. This system includes QPSK demodulation, IFFT modulation, space-time decoding, based on the training symbol of channel estimation and other communications module. We want to help!)

intento de modelo MM1

Exercice about limit cycle in chaos theory. This is equation for glycolytic.