training

该PPT详细介绍了MATLAB的符号运算(the PPT introduced MATLAB symbolic operation)

小波包分解重构程序，克服小波分解在高频段的频率分辨率较差(Wavelet packet decomposition and reconstruction program, overcome the wavelet decomposition in the poor frequency resolution in high frequency )

numerical solution on PDE

利用matlab产生二进制调制信号波形，以实现噪声信号干扰研究(Matlab generated using the binary modulation signal waveform in order to achieve noise signal interference study)

说明：  CCNA中文笔记第2章 　DoD模型被认为是OSI参考模型的浓缩品,分为4层,从上到下是1.DoD模型的Process/Application层对应OSI参考模型的最高3层 　　2.DoD模型的Host-to-Host层对应OSI参考模型的Transport层 　　3.DoD模型的Internet层对应OSI参考模型的Network层 　　4.DoD模型的Network Access层对应OSI参考模型的最底2层 (CCNA Chinese Notes Chapter 2 DoD model OSI reference model is considered concentrated products, divided into four layers, from top to bottom is 1.DoD Model Process/Application layer of OSI reference model corresponds to the maximum 3-layer model 2.DoD Host-to-Host layer corresponds to OSI reference model Transport Layer 3.DoD model Internet layer corresponds to OSI reference model Network model Network Access Layer 4.DoD OSI reference model layer corresponds to the bottom layer 2)

This is the PCA matlab code using face recognition.

Matlab tool for segmentation and re-creation of H-MRS volumes of interest in MRI image stack

压缩感知matlab代码及说明，适合初学者学习使用.关于SAR雷达，含7个代码(Compressed sensing matlab code and instructions for beginners to learn to use. Regarding SAR radar, with 7 code)

安装matlab经常出现问题，这个文件中对一些常出现的问题给出了解决方法(Install matlab are prone to problems often appear in this file gives the solution)

1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线； 2） 写出最陡下降法， LMS算法的计算公式（ ）； 3） 用MATLAB产生方差为0.05,均值为0白噪音S(n)，并画出其中一次实现的波形图； 4） 根据2）中的公式，并利用3）中产生的S(n)，在1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法， LMS法时H(n)的在叠代过程中的轨迹曲线。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对 应S(n)的某一次的一次实现）和e(n)波形；某一次实现的结果并不能从统计的角度反映实验的结果的正确性，为得到具有统计特性的实验结果，可用足够多次的实验结果的平均值作为实验的结果。用MATLAB计算并画出LMS法时J(n)的100次实验结果的平均值随时间n的变化曲线。 6）用MATLAB计算并在1）中的误差性能曲面的等值曲线上叠加画出LMS法时100次实验中的H(n)的平均值的轨迹曲线； 7）对以上实验结果给出一些你认为有价值的讨论。 （在实验中n=1,,…..N,N的取值根据实验情况确定，一般选取足够大以使算法达到基本收敛，本题作业以电子文档PDF格式提供） (1) With MATLAB to draw the contours of the error performance surface and error performance surface 2) Write down the steepest descent method, the LMS algorithm formula () 3) using MATLAB variance 0.05, mean 0 white noise S (n), and draw one to achieve the waveform diagram 4) According to the formula 2), and using 3) S (n) produced in 1), the error performance of the contours of the surfaces superimposed on draw using the steepest descent method, the LMS method is H (n) in the iterative process in the trajectory curve. 5) curve to calculate and draw the LMS method using MATLAB with time n (time corresponding to the S (n) of a first implementation) and e (n) waveform reflect a certain time to achieve results not from a statistical point of experiment the correctness of the results obtained with the experimental results of the statistical properties of the available sufficient times the average of the experimental results as a result of the experiment. Calculate and draw the LMS m)