New WinRAR archive

MUSIC算法[1]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 algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

中心切片定理，主要用于医学图像重建的matlab程序代码(Central slice theorem, mainly for medical image reconstruction matlab code)

粒子群优化算法源码，进行了矢量化，速度快。(partical filter )

matlab实现SDH分解 RGB显示为彩图(Matlab achieve SDH decomposition RGB display)

追踪视频流中的运动轨迹，运用背景差分。视频名称和类型可自行命名，(Tracking the trajectory of the video stream, using the background subtraction)

一本数值分析英文书籍，各种方法均配有相应的程序，用matlab，fortran等编写，值得一看(A numerical analysis of the English books, various methods are equipped with the appropriate procedures, using matlab, fortran, etc., worth a visit)

chapter2 基于遗传算法和非线性规划的函数寻优算法 《MATLAB智能算法30个案例分析》(史峰等)(30 case studies of MATLAB intelligent algorithm (Shi Feng et al.))

用matlab仿真实现了25 kHz 带宽内同时传送总共48 kbit/s 的两路语音(每路速率9. 6 kbit/s) 和两路数据信息(速率分别为19. 2 kbit/s 和9. 6 kbit/s) , 仿真结果表明达到了较好的误码性能。并比较了4 种数字调制方式下O FDM 系统的误码性能。(using Matlab Simulation bandwidth of 25 kHz simultaneous transmission within a total of 48 kbit/s 2 Road Voice (rate of 9 per road. 6 kbit/s) and two road data information (rate of 19. 2 kbit/s and 9. 6 kbit/s), the simulation results indicate achieve a better BER. And comparison of four types of digital modulation mode O FDM system BER.)

运用高斯模型，对手掌检测，自己写的程序，仅供参考，可以运行(Gaussian model is the use of palm detection, and write their own procedures for reference only, you can run)

ant colony optimization with genetic algorithm matlab code