UMTS-GUI

基于博弈论的认知无线电无线资源分配MATLAB程序(wireless resource allocation in cognitive wireless network using gaming theory in MATLAB)

含噪声音滤波，去除噪声 含噪声音滤波，去除噪声 含噪声音滤波，去除噪声(Voice Filter Voice Filter Voice Filter)

matlab一些典型例程，供初学者使用，互相学习啊，(Matlab some of the typical routines for beginners, learn from each other,)

MFCC参数和LPCC参数需要频繁使用的语音的说话人识别分析还需要使用大量的这些特征参数,这就需要研究MFCC和LPCC算法和参数提取的原则。因为我们需要了解与人交谈的过程中,我们要进行建模 率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(MFCC parameters and LPCC parameters are parameters of speaker recognition which requires frequent use of voice analysis also need to use a lot of these characteristic parameters, This requires research MFCC and LPCC algorithm and the principle of parameter extraction. Because we need to understand the process of talking to people, we want to conduct a speaker modeling the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula)

Perform segmentation by Region Groing.matlab code

说明：  这本书里面记载了MATLAB中常见的80个问题，并都有详细的解答(This book was written by MATLAB 80 common questions and answers are detailed)

exercise1:为基于小波变化与局部能量的图像融合方法 exercise2:为基于自适应算法的图像融合算法 myfunction1~myfunction5:为性能指标评价函数(exercise1: To change and local energy based on wavelet image fusion method exercise2: adaptive algorithm based image fusion algorithm myfunction1 ~ myfunction5: performance indicators for the evaluation function)

用smp算法实现基于压缩感知的磁共振图像重构(Smp algorithm for image reconstruction based on compressed sensing)

一个收集肌肉收缩信号并对其进行处理与预测的程序(This is a model of muscle force resulting generated upon receiving a train of electrical pulses. The model is based on a set of differential equations which represent muscle activation dynamics and the subsequent force that is generated. Based on Kesar T. et al., Predicting muscle forces of individuals with hemiparesis following stroke , Journal of NeuroEngineering and Rehabilitation, Vol 5 (7) 1065-1071, 2008.)

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