matlab_document

按照一定的规则，对一定的样品进行分类的程序(According to certain rules, certain procedures for the classification of samples)

GM（1，n）灰色预测模型，只有模型建立，计算，作图，检验过程略(GM (1, n) Grey forecasting model, only the model, calculation, mapping, testing process slightly)

基于matlab的彩色图像转成灰度图像，然后进行图像旋转并画布扩大，最后进行均值插值(Matlab-based color image into gray image, and then expand the image rotation and canvas, and finally to mean interpolation)

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.))

随机场模拟,这个程序适用于地震动的随机合成，虽然很简单，却很具有实际意义(Random simulation)

激光当中最为重要的就是谐振腔，如何用matlab确定谐振腔的稳区呢？此处用平凹谐振腔举例(Laser is one of the most important among cavity, how to use matlab to determine the stability of cavity area?Here use plane concave cavity for example)

DD算法实现语音增强，噪声谱估计，根据寂静帧和后面能量的对比来估计(DD algorithm speech enhancement, noise spectrum estimation, based on comparative silence frame and rear energy to estimate)

说明：  结合matlab强大的数据处理能力和蒙特卡洛方法的强大随机模拟功能，编写了一个小算例(Combining the powerful data processing ability of MATLAB and the powerful random simulation function of Monte Carlo method, a small calculation example is compiled)

matlab程序源码,这个是我和同学一起做的,大家可以参考看看怎么样的,谢谢大家,可以提议供大家学!(Matlab program source code, and this is my classmates together, we can see how information like, Thank you, can be proposed for everyone to learn!)

此为时间序列预测模型的详细说明，并附有详细的程序，可直接下载下来用！(This time series forecasting model for the detailed instructions, along with detailed procedures can be directly downloaded to use!)