MFCspeech

说明：  计算压缩前后两信号的相关性，通过计算相关性，计算压缩信号的位移量(Calculated before and after the two compressed signal correlation, by calculating the correlation to calculate the displacement signal compression)

案例为利用最有控制原理，实现对机械手转台的最优控制。运用matlab，以及simulink仿真实现。(Case for the use of the most control theory, to achieve optimal control of robotic turntable. Use matlab, simulink simulation, and implementation.)

永磁同步电机（PMSM）位置滑模变结构控制仿真，SVPWM(Permanent Magnet Synchronous Motor (PMSM) position variable structure control simulation, SVPWM)

介绍MATLAB常见的操作命令，基本格式和运用说明，对初学者有一定帮助(Describes the common operation of MATLAB commands, the basic format and use instructions will definitely be helpful for beginners)

Matlab的射频滤波器仿真设计,Matlab的射频滤波器仿真设计(RF system based on matlab)

This program simulation is used to simulate the performance of Mary noncoherent FSK modulation (BFSK,4FSK,8FSK and 16FSK) in AWGN channel for SNRdB change from 0 to 12 dB and print the modulation type ,SNRdB and Bit error rate for each steps. finally the program is plot the BER versus SNRdB for four type of noncoherent FSK modulation

通过matlab代码实现整首音乐的播放,是实现音乐播放的功能(Matlab code by the entire music playback, music playback function to achieve)

小波包分析提取振动信号中的特征频率，经典的灰度共生矩阵纹理计算方法，可实现对二维数据的聚类。( Wavelet packet analysis to extract vibration signal characteristic frequency, Classic GLCM texture calculation method, Can realize the two-dimensional data clustering.)

matlab的指令大全，对初学matlab的同学非常有用。(matlab command Daquan, matlab for beginners students very useful.)

DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 (DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.)