cuda-course

Matlab潮流程序非常好用的程式 欢迎大家来使用(The trend of the procedure is very easy to use Matlab programs welcome you to use)

Its a hodgkin-huxley code in Matlab

说明：  对于学习通信原理并且要求运用matlab仿真的学者来说是一本很好的书籍。(Communication Theory for the study and asked the scholars to use matlab simulation is a very good book.)

该程序基于运动区域和运动区域外截矩形进行运动目标检测 (Based on motion region and exercise outside cutting a rectangular moving target detection )

基于RSSI的无线传感器网络定位，此算法实现RSSI定位(RSSI-based localization for wireless sensor networks)

matlab下利用元胞自动机进行细菌生长模拟，具有一定的学习价值(matlab under utilization of cellular automata for bacterial growth simulation, has a certain value of learning)

hign power using matlab

Lambert制导问题的优化算法，通过改变初值的计算方法减少了一半以上的运算量。(Optimization of Lambert Guidance problem )

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.))

经典的标量JA 模型的代码，非常适合磁滞模型初学者 我给出了两种实现方式的代码 一个用固定点迭代实现，可以容易变成c语言 另一个使用simulink 实现，可以加到控制图中作为一个子函数(the code is programmed following the classical paper of D.Jiles ,fellow of IEEE. The JA model is great and innovative work in magnetic material.)