turbo_test

GSM simulation in simulink. composd of encoder and decoder. but it is not completed

基于最小错误率，和最小风险的Bayes分类器Matlab 实现 (Bayes Matlab)

说明：  一束5W 的线偏振光以Φ = 45 度方位角振动，垂直入射到玻璃 - 空气表面，该光束波长0.6μm，玻璃介质折射率1.54 @0.6m，当入射角θ从0-70 度变化时，通过给定条件，分别完成如下要求： 画出该光束反射光的光强曲线（I-θ）； 分析该反射光束的偏振态变化，画出偏振方向变化曲线（φ-θ）和偏振光束相位变化曲线 （Φ-θ）。 （注：光束从光密到光疏的界面，在入射角θ 从0-70 度变化中，包括了临界角θc）(Bunch of linearly polarized light 5W to Φ = 45 degrees azimuth vibration, normal incidence to the glass- air surface, the beam wavelength 0.6μm, glass refractive index 1.54 @ 0.6m, when the incident angle θ changes from 0-70 degrees By the given conditions, namely the completion of the following requirements: Draw the reflected light beam intensity curve (I-θ) analysis of changes in the polarization state of the reflected beam, draw the polarization direction of the curve (φ-θ) and polarized beam phase curve (Φ-θ). (Note: the light beam from the optical density of the interface is sparse, the incident angle θ  variation from 0-70, including the critical angle θc))

真实模拟人走路，通过调节参数可改变人行走的速度，图形化界面操作，含源代码。(To simulate the human walk.)

对从金属棒材中提取的超声缺陷信号经过自适应滤波以后的极坐标显示图(polar graph of ultrasonic defect signal)

用最小二乘法反应雷达得到的图像，得到各种数据特征参数(Reaction of the least square method to obtain the radar image data to obtain various characteristic parameters)

可以利用此书来编辑抗震问题的解决过程中利用matlab来实现(this is helpful to solve some problem which comes to anti-sesimic)

Decomposition and reconstruction example 1

利用MATLAB实现语音去噪，主要是基于小波去噪(Speech Denoising realize the use of MATLAB, is based mainly on the wavelet denoising)

说明：  基于径向基神经网络的算法逼近低通滤波器，用Matlab编程实现(Based on RBF Neural Network Approximation algorithm low-pass filter, using Matlab programming)