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《MATLAB 7.X程序设计》-王建卫-源代码及习题答案，用以初学者(" MATLAB 7.X programming" - Wang Wei- the source code and problem sets for beginners)

genetic fuzzy (ga_fuzzy) pid gain optimal

解BSDE方程的欧拉算法 采用显式格式 隐式格式需要进行皮卡迭代(Euler-Maruyama Method for BSDEs )

说明：  使用matlab语言编程的粒子群算法对含分布式电源的配电网进行多目标优化(Multi-objective optimization of distribution network with distributed generation using particle swarm optimization algorithm programmed by MATLAB)

SAR的点目标仿真，matlab开发，程序思路清晰，通俗易懂(SAR point target simulation, matlab development, program ideas clear, easy to understand)

Iterative closest poin in MATLAB

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

《MATLAB神经网络30个案例分析》中的第9个例子，案例9 离散Hopfield神经网络的联想记忆—数字识别。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 9, 9 cases of discrete Hopfield neural network associative memory- digit recognition. Hope to have certain help to everybody! )

说明：  信号检测概率随信噪比变化的仿真与理论结果(Signal detection probability with SNR change simulation and theoretical results)

fuzzy control adaptive fuzzy controller