33节点灵敏度计算

Heat equation with variable coeficients using Point Jacobi Method

经典功率谱估计及其仿真,可以给有需要的同志参考，欢迎下载(Classic power spectrum estimation and simulation)

vc调用matlab的例子，亲，使用起来非常方便哦( vc call matlab example, pro, very convenient oh)

四元数乘法、求逆、共轭、求范数函数，并附有求解矢量旋转坐标的程序例子(Quaternion multiplication, inverse, conjugate, seeking norm function, together with procedures for solving the example of vector rotating coordinate)

Matlab code for segmentation

The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background. Example: To create the fig 3,4 and 5 of the paper, call the routine: Blind_recognition_STBC2_simulation_results(512,4, PSK ,4) Reference: [1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.

matlab实现小波去噪的经典，可供初学小波人学习(matlab implementation of the classical wavelet denoising, wavelet for beginners to learn)

matlab语言常用算法程序集_龚纯，包括很多常用算法的程序 (matlab include the programmes of most popular algorithms)

对图像进行任意角度旋转 图像渐变 运用调色板设计技术将灰度图像彩色化 等5个MATLAB 图像处理 代码(Rotate the image at any angle image gradient design using the gray image palette color and so on five MATLAB image processing code)

说明：  （拟合） 用给定的多项式，y=x3-6x2+5x-3，产生一组数据(xi,yi，i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数)，然后用xi和添加了随机干扰的yi作的3次多项式拟合，与原系数比较。 如果作2或4次多项式拟合，结果如何？ ((Fitting) with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add a random disturbance yi ( can be generated rand (0,1) uniformly distributed random number, or rands generated N (0,1) distribution of random numbers), and then added with xi and yi for random interference of the 3 times polynomial fitting, and the original coefficient. If 2 or 4 times for polynomial fitting, the result?)