signalprocessing

source code matlab for recognition capsule

This function Simulates the swing equation of a one-machine system and returns the critical clearing time for stability.

计算差分方程组的解的渐近极限，并作图演示结果(Calculating the asymptotic limit of the solution of differential equations, and mapping demo results)

matlab的元胞自动机程序的源代码,胞自动机程序状态演化规则 ①如果一个元胞的状态是0,则当它有状态为1的邻元时,该元胞的状态以概率a×b变为1,并且当它的临域中状态为1的邻元越多,其状态转变为1的概率越大 ②如果一个元胞的状态是1,则该元胞的状态保持不变。初始传播者位于中心单元格25×25处 取50×50的网格，临域为Moore型，经过50个仿真时钟,知识传播结果的模拟图 (matlab Cellular Automata procedure source code, cellular automata evolution rules of procedure state ① If a cell' s state is 0, then when it has a status of one element of the neighborhood, the cellular state to the probability of a × b into one, and when it' s Pro domain status is one more element of the neighborhood, its status into a greater probability of 1 ② If a cell' s state is 1, the cellular status remains unchanged. Initial spreaders center cell 25 × 25 obtain 50 × 50 grid, the Pro domain for the Moore-type, after 50 simulation clock, the dissemination of knowledge of the simulation results of Figure)

说明：  基于共轭对称结构训练符号的OFDM同步算法性能分析(Conjugate symmetry based training symbol synchronization algorithm for OFDM Performance Analysis)

files to teach you about image processing using Matlab

说明：  是关于压缩感知磁共振成像的正交匹配追踪算法的具体实现，用于稀疏磁共振成像，可以进行仿真实验(The code is about the realization of compressed perceptual MRI. The running environment is matlab, which is a very classic code)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

sumlink的ppt，对初学者有用，里面包含了对于sumlink的基本模块的介绍(sumlink the ppt, be useful for beginners, which includes the basic modules for sumlink Introduction)

说明：  本人以前做的一个笑话站，数据本人已清空，非常简洁好用！(I used to do a joke station, the data I have clear, very simple and easy to use!)