motorsimulationmatsim

simulink s函数，用C写的CRC校验和解校验的程序，原理简单，但是可以用来做学习simulink的好例子。(simulink s function, using C to write the CRC checksum checksum reconciliation procedures, the principle of simple, but can be used to make a good example of learning simulink.)

包括各种频域滤波器：经典频域理想低通滤波器 ，经典频域巴特沃斯低通滤波器 ，经典频域指数低通滤波器， 经典频域理想高通滤波器 ， 经典频域巴特沃斯高通滤波器， 经典频域指数高通滤波器,经典频域带通滤波器 ,经典频域带阻滤波器(Including a variety of frequency domain filter: Classic ideal low-pass filter frequency domain, frequency domain classic Butterworth low-pass filter, the classic low-pass filter frequency domain index, the classic ideal high-pass filter frequency domain, frequency domain Butterworth classic Andean high-pass filter, the classic high-pass filter frequency domain index, the classical frequency domain band-pass filter, band stop filter frequency domain classics)

Matlab程序设计与应用,从基础叫如何用MATLAB编程和它的强大运用(Matlab program design and application, from basic told how to use MATLAB programming and the use of powerful)

START RAT远控源码START RAT远控源码START RAT远控源码START RAT(START START RAT RAT far point source code remote control the source code START START RAT RAT far point source code)

说明：  该文件是基于simulink与matlab结合的DQPSK系统仿真，最终结果为信噪比--误码率曲线图。(The file is based on Simulink and MATLAB combined DQPSK system simulation, the final result is signal to noise ratio - bit error rate curve.)

加带通滤波器的FFT开源代码，附带批处理程序(FFT band-pass filter plus open-source code, with a batch process)

从最常用的“.BMP”图像格式中读取图像数据, 通过访问数字图像RGB三个通道的对应矩阵，改变数字图像的色彩 将数字图像的RGB表示转换为YUV表示；通过访问Y（亮度）通道，改变数字图像的亮度；通过Y（亮度）通道作灰度的线性变换，改变数字图像的对比度(failed to translate)

说明：  基于主成分分析实现对特征脸的人脸识别，训练，输出识别率等。(Based on principal component analysis to achieve the characteristics of face recognition, training, recognition rate of the output.)

使用Matlab AR模型的LPC函数来做特征值提取。传统方法中LPC一般用来做语音处理。这里每100个数据来做LPC，用获得的N阶参数来作为振动信号的特征值。这样10000个样本可以获得100个特征值样本集。用这些样本集可以做神经网络分类(Matlab AR model LPC function to do eigenvalue extraction. Conventional method LPC generally used for voice processing. Do LPC, where each of 100 data is obtained N-order parameter as the characteristic values ​ ​ of the vibration signal. So 10000 samples can be obtained the 100 the eigenvalue sample set. Neural network classifier can do with these sample sets)

this code use to quanlize in channel/source coding