zuiyongkongzhi

说明：  Matlab入门级教程，对于新手可以看看，更好的理解Matlab(failed to translate)

基于matlab的指纹识别处理程序，仅供参考(Matlab-based fingerprint recognition processing procedures, reference)

使用Matlab Gui实现的数字信号处理常用算法，包括卷积，FFT，FIRIIR数字滤波器设计，最佳滤波器，自适应滤波，卡尔曼滤波等

白噪声过程的功率谱 自相关函数和功率谱(The power spectrum of the white noise process autocorrelation function and power spectral)

Soft Focus using Guassian Blur

implementation of multi classes negative selection algorithm

matlab实现维纳滤波,原创编译运行通过，下载即可直接使用。(Wiener filter implementation matlab, run by the original compiler, download it directly.)

This is a direct torque control of induction motor

关于粒子滤波基本算法以及改进型的实例仿真，适合初学者对粒子滤波算法的学习(On the basic algorithm and improved particle filter instances of simulation, suitable for beginners to learn on the particle filter)

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.