auto_simulation_ber

说明：  脉冲信号调制解决了线性调频信号的调制特性(LFM)

此模块，是SVPWM仿真，山区判断，时间计算，PWM的产生各个部分组成。结果理想，可用于PMSM和PMLSM的控制中。(This module is SVPWM simulation, the sector judge, time calculations, the composition of each part of the PWM generation. Ideal results can be used for the control of PMSM and PMLSM.)

通过分帧处理用Matlab实现语音增强中的谱减法(Through sub-frame processing using Matlab implementation of spectral subtraction speech enhancement)

说明：  自己练习编写的波动方程，不知道行不行，求指正，求批评(wave equation)

μ律（美国标准，μ=255）pcm，包括编码、解码过程(μ-law (American Standard, μ = 255) pcm, including encoding, decoding)

基于机器学习的认知无线电频谱感知,机器学习的认知无线电频谱感知(Based on machine learning cognitive radio spectrum sensing, machine learning, cognitive radio spectrum sensing)

地球物理学，地震波有限差分二维正演模拟，没加边界条件(Geophysics, two-dimensional finite difference forward modeling of seismic wave, did not increase the boundary conditions)

this is a good program for beginner

newruan network backprop

说明：  里面有8PSK，GMSK的matlab源程序，贡献出来了(I was interested in the theory for 8PSK and came across this m-file written in 1999. It requires 2 function calls (graymapPSK and grayunmapPSK) which I have included and must be uncommented(single comments only) and loaded into your workspace. Remove the function calls from this m-file after you load into your workspace. It seems to work well and give valid results for BPSK and QPSK but I have a question about the setup for 8PSK and the solution for Pseint where Pse=Pseint. Also, the Gray coding seems different than what I m used to. Some of you more theoretical minded may have some insight into the theory behind how Pseint was determined and comment. I don t have the communications toolbox-blockset and was wondering how it compared with Matlab s example simulation of 8PSK with Gray coding (in Simulink?) Each run takes about a minute and the loop iterations are shown in the command window. A numerical example of a satellite link is shown using uncoded QPSK )