matlab

KALMAN Fİ LTER İ MPLEMENT İ N 2D MOTİ ON

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. )

本程序是在MATLAB平台上面实现的用模拟退火算法解决01背包问题。(This procedure is in the MATLAB platform achieved with simulated annealing algorithm to solve knapsack problem 01.)

用双线性法设计巴特沃斯高通数字滤波器 基于汉宁窗的FIR数字高通滤波器设计(Method with bilinear Butterworth high-pass digital filter design based on Hanning window of FIR digital high-pass filter design)

利用matlab编程，比较软阈值和硬阈值收缩方案的去噪效果。通过了Matlab2009a的测试。(Using matlab programming, comparing the denoising shrinkage results of two methods between soft threshold and hard threshold program. Testing by Matlab2009a.)

利用小波分析方法进行表面肌肉电信号的时-频率分析，从而得出一系列评价肌肉疲劳的指标(Surface muscle electrical signal when using wavelet analysis method- frequency analysis, to arrive at a series of evaluation of muscle fatigue indicators)

使用Matlab编程实现GMM算法,不调用已有函数库，对大量点进行分类(LM algorithm using Matlab programming, do not call the existing library, a large number of points to classify)

将改进的粒子群算法和GA与SVM相结合，通过参数寻优构建新模型完成对空气质量指数的预测(The improved particle swarm optimization and genetic algorithm are combined with SVM. The prediction of air quality index (AQI) is completed by constructing a new model by parameter optimization.)

this tuturial is a basic of Matlab.This document is a guide for Matlab begginers and for people who want to be an experts,too.

Matlab环境下实现的RBF神经网络K均值聚类算法(Matlab environment to achieve the RBF neural network K-means clustering algorithm)