program

说明：  人脸识别，用于人脸图片的检测领域，对于初学则有一定意义，作者来自麦吉尔大学(Face Recognition for Human Face Detection picture field, the beginner will have a certain sense, the writer from McGill University)

用MATLAB函数fir1设计一个具有如下指标的线性相位FIR带通滤波器：阻带截止频率为0.55pi 和0.85pi，通带截止频率为0.65pi和 0.75pi，最大通带衰减为0.2dB，最小阻带衰减为42dB。分别利用下面的窗函数来设计滤波器：汉宁窗、汉明窗、布莱克曼窗。对于每种情况，给出其冲激响应系数并画出设计的滤波器的幅频响应。(Designed with a MATLAB function with the following indicators fir1 linear phase FIR band-pass filter: stopband cutoff frequency for the 0.55pi and 0.85pi, passband cutoff frequency of 0.65pi and 0.75pi, maximum passband attenuation is 0.2dB, minimum stopband attenuation of 42dB. Window functions were used to design the following filter: Hanning, Hamming window, Blackman window. For each case, given its impulse response filter coefficients and draw the design magnitude response.)

说明：  核函数中经常用到的高斯核核函数的matlab程序(Kernel function often used in the Gaussian kernel function matlab nuclear program)

线性分组码的simulink环境下仿真，给出结果，可自行改变参数(Under linear block code simulink simulation environment, given the results, you can change the parameters yourself)

仿真8-PAM（脉冲幅度调制）载波调制信号在AWGN（加性高斯白噪声AWGN(Additive White Gaussian Noise)）信道下的误码率和误比特率性能，并与理论值相比较。(Simulation 8-PAM (pulse amplitude modulation) modulation signal in AWGN (additive white Gaussian noise AWGN (Additive White Gaussian Noise)) under the channel bit error rate and bit error rate performance, and compared with the theoretical value.)

扩频通信的相关仿真文件，希望有帮助，：）(Spread Spectrum Communication Simulation related documents, hoping to help :))

这是基于matlab编写的一套用于指纹识别的源码，可以即得即用，很是详细。(This is based on the preparation of a set of matlab source code for fingerprint recognition, which you can get that is used, it is detailed.)

一个阻感回路电流电压波形仿真源码，可以实现simulink模块里不可控的参数调整。(This code includes the U-I simulation in R-L circuit such as welding SCR component。)

Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented.

matlab程序，pid控制器，ift算法(matlab program, pid controller, ift algorithm)