Radar-Using-MatLab

静电场边值问题的解法浅析,用分离变量法解决静电场边界问题的基本思路(Electrostatic Boundary Value Analysis)

Digital Signal Processing Using Matlab v4.0 (John G Proakis)

信号的仿真，误码率的仿真，互相学习，互相进步(change zhe singal，and find the rate of error)

matlab中电气化铁路上每1km长的牵引网的等效阻抗模型。(matlab in every 1km long electrified railway traction network equivalent impedance model.)

说明：  matlab时针程序，能实现双时针的配合旋转，历时24小时(The matlab clockwise procedures to achieve dual-clockwise with the rotation, which lasted 24 hours)

粒子群算法、遗传算法优化RBF径向基神经网络(Particle swarm optimization, genetic algorithm optimization RBF RBF neural network)

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)

Virtual Mouse using Hand Gesture

说明：  带交叉因子的粒子群优化算法matlab源程序(pso.matlab)

Control vector parameterization, also known as direct sequential method, is one of the direct optimization methods for solving optimal control problems. The basic idea of direct optimization methods is to discretize the control problem, and then apply nonlinear programming (NLP) techniques to the resulting finite-dimensional optimization problem.