singleSeveralSystem

matlab教程 matlab编程（最好中文教程）(matlab tutorial matlab tutorial)

用matlab编写的用遗传算法优化的神经网络的算法，读者可以根据需要进行相应参数的定义。(Prepared using matlab optimization using genetic algorithm neural network algorithm, readers can be required to carry out the corresponding definition of parameters.)

matlab编写的禁忌搜索算法，解决了TSP问题，对初学者有重要的参考价值(tb algorithm for tsp problem)

基于matlab的PID温控模拟，使用了simulink(Matlab-based simulation of PID temperature control, use the simulink)

压缩感知的各种经典还原算法，BP,OMP，CoSaMP，LP等等。(Compressed sensing a variety of classical reduction algorithm, BP, OMP, CoSaMP, LP and more.)

This paper helps in Blind Identification and Equalization of MIMO FIR Channels Based on Subspace Decomposition and Independent Component Analysis

ar模型aic准则,希望对大家有所帮助。(AR model AIC criterion)

动态实现加尔顿顶板演示，并有其他演示方法，数理统计，动态演示(Galton roof to achieve dynamic presentations, and other presentation methods, mathematical statistics, dynamic presentation)

steganalysis characteristic

正交匹配追踪(OMP)在稀疏分解与压缩感知重构，稀疏分解先于压缩感知提出，信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。(Orthogonal Matching Pursuit (OMP) is used in sparse decomposition and compressive sensing reconstruction. Sparse decomposition is proposed prior to compressed sensing. The purpose of signal sparse representation is to represent the signal with as few atoms as possible in a given overcomplete dictionary. The more concise representation of the signal allows us to more easily obtain the information contained in the signal, making it easier to further process the signal, such as compression and coding.)