SPWM_PI_LCL_0123_DAExraction

四乘四的MIMO系统模型的仿真，介绍了系统的传输特性。(Four by four of the MIMO system model simulation, introduce the system of transmission characteristics.)

与gamma函数和正态分布函数有关的三份资料，对深入理解和应用gamma函数有帮助。(Normal distribution function with the gamma function and the three relevant information on the in-depth understanding and application of gamma function is helpful.)

abs的pid控制，自己编的，没有优化。可以运行！(abs of pid control, their series, not optimized.you can run it!)

说明：  采用混沌和小波相结合的方式实现的图像加密matlab程序(Using chaos and wavelet methods to achieve a combination of image encryption matlab program)

宾夕法尼亚大学性病蔓延计算模型，matlab分析说明(RTI International and University of Pennsylvania Model the Spread of Epidemics Using MATLAB and MathWorks Parallel Computing Tools)

扩频程序 主要是采用m序列，对发送数据进行扩频(SPREAD PROCESS)

同步电机的原理的ppt 很详细的阐释了同步电机的原理图文并茂(Synchronous motor ppt principles explained in great detail the principles of synchronous motor with the aid of diagrams)

人工势场法路径规划matlab源代码，适用于机器人路径规划。(Artificial potential field path planning matlab source code for robot path planning.)

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

基于matlab对语音信号的分析，利用各种滤波器，频谱分析等功能。(Based on matlab analysis of speech signals, using various filters, spectral analysis and other functions.)