HT_decomposition

MVDR算法基于matlab的实现，经过测试可以运行(The realization of MVDR algorithm based on matlab)

信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 (Signal transmission channel, often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) method for electronic dispersion equalizer, overcome the optical fiber communication in a variety of dispersion caused by intersymbol interference. Research Based on the maximum likelihood sequence estimation (MLSE) equalizer, using the Vitby algorithm, the performance index using MLSE after matlab simulation (eye diagram and bit error rate) promotion.)

显示图像，利用按键切换图像，可批量查看。MATLAB环境。(Display images, use keys to switch images, available in volume view. MATLAB environment.)

MATLAB_Code 各项异性介质中的传输矩阵方法处理光的传播(MATLAB_Code anisotropic media in the transfer matrix approach to light propagation)

实现信号的时域和频域变换的一种算法，附有详细说明(Signals in time domain and frequency domain transform an algorithm, with detailed instructions)

Matlab function to generate a random vector with entire values without repetition.

介绍了简单的ldpc编码，对初学者很有用！(Introduced a simple ldpc code is useful for beginners!)

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)

Automatic Aircraft Detection and Classification in Cluttered Environments

基于压缩感知的sar成像算法研究，里面有七个小程序包括函数。(Based on compressive sensing of the SAR imaging algorithm research, there are seven small programs, including functions.)