NS-FDM

bw Image Segmentation

夫琅和费衍射的matlab仿真，对此方面做了比较详尽阐述(Fraunhofer diffraction of matlab simulation, which has done more elaborate)

Matlab实现基于radon变换的图像重建 Matlab实现基于radon变换的图像重建(Matlab-based radon transform of the image reconstruction)

single user energy detection

FMCW调频连续波雷达的测距测角，信号处理中的旋转不变子空间法，研究生时的现代信号处理的作业。( FMCW frequency modulated continuous wave radar range and angular measurements, Signal Processing ESPRIT method, Modern signal processing jobs when the graduate.)

步进频信号的回波建模，使用连续短脉冲实现雷达的高分辨测量(Echo Modeling stepping frequency signal, continuous short pulses to achieve high-resolution radar measurements)

说明：  基追踪算法，用于解决压缩感知问题的经典算法，使用ADMM求解。(It is a matlab version of Basis Pursuit algorithm used to solving compressed sensing problem.)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

一种解决早熟收敛的自适应遗传算法设计 早熟问题是遗传算法的主要制约瓶颈 本文对此进行讨论 提出解决的方法(a solution premature convergence of adaptive genetic algorithm design precocious problems are genetic algorithms is the main bottleneck constraining discuss this proposed the solution)

This is matlab code for generation of OFDM symbol using QAM modulation scheme