matlab

一个基于PC声卡和matlab的实时语音信号采集分析系统，带有界面图形，功能较完善，这是读研究生的时候，导师安排的项目编写的(A PC-based real-time sound and matlab voice signal acquisition and analysis system with a graphical interface, function better, which is in graduate school, I arranged for the preparation of project mentor)

与理论分析结果相比，小波包分析提取振动信号中的特征频率，最小均方误差等算法的MSE的计算。( Compared with the results of theoretical analysis, Wavelet packet analysis to extract vibration signal characteristic frequency, Minimum mean square error MSE calculation algorithm.)

LDPC码的完整的编译码，AHP层次分析法计算判断矩阵的最大特征值,插值与拟合，解方程，数据分析。( Complete codec LDPC code, Calculate the maximum eigenvalue judgment matrix of AHP, Interpolation and fitting, solution of equations, data analysis.)

autoregressive moving average model grade 1,1

用 kalman滤波进行目标物体追踪，有数据，试验成功,matlab编程，图像处理。(Using kalman filter for tracking the target object, including data, test success, matlab programming, image processing.)

文献资料，利用Copula函数度量整合风险的(Literature, the use of integrated risk Copula function metrics)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

自适应算法中的LMS算法的例子，以及空间谱算法中SER算法的实例，希望能对你有帮助。(adaptive algorithm LMS algorithm example, as well as spatial spectral algorithm SER algorithm example, The hope is to help you.)

实现数值分析中单纯形法改进方法的matlab代码，即改进单纯形法算法，能够实现大型稀疏矩阵的迭代，代码分为三分。这是2/3..(Numerical analysis to achieve improved method simplex method matlab code that modified simplex method algorithm, to achieve large sparse matrix iteration, the code is divided into thirds. This is the 2/3 ..)

Model predictive control book nice one