besjexp

完全图哈密尔顿圈的遗传模拟退火算法matlab通用源程序(Genetic simulated annealing algorithm)

參考文獻「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」 Clustering-based Sparse Representation 的 matlab代碼(「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」and Clustering-based Sparse Representation matlab code.)

说明：  利用FFT快速运算技术来实现在二维图像领域上的稀疏分解过程。(The use of FFT techniques to achieve fast computing in the field of two-dimensional image of the sparse decomposition process.)

用于检测两个信号的延时情况,应用方面非常广泛(for detecting signal delay, the application is very extensive)

this source code is good

matlab仿真的GPS信号捕获程序，相关及非相关累积算法(matlab simulation of the GPS signal acquisition process, relevant and non-related accumulation algorithm)

matlab code for Phase Locked Loop tutorial

基于自回归,全极点的AR模型,对随机信号的进行的功率谱估计。(Based on the autoregressive all-pole AR model estimated the conducted power spectrum of the random signal.)

数字信号处理：基于BT法和周期图法估计信号功率谱(Digital signal processing: signal power spectrum is estimated based on the the BT Act and the periodogram)

Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal best locations, and the swarm s best location. Each particle continually adjusts its trajectory based this information, moving towards the global optimum with each iteration. The swarm as a whole displays a remarkable level of coherence and coordination despite the simplicity of its individual particles. The coordinated behavior of the swarm has been compared with that of a flock of birds or a school of fish.