FIR_filter_design_and_implementation

pll simulation in matlab

本代码是matlab编写的用来实现矩阵分解的典型方法，来自于2014年cvpr的文章代码。(Matrix decomposition in cvpr 2014 about DAKM algorithm using matlab. The DAKM s algorithm is powerful for Matrix decomposition . Matrix decomposition in cvpr 2014 about DAKM algorithm using matlab. The DAKM s algorithm is powerful.)

用MATLAB编写求解伪距定位方程的程序，对实际数据进行处理，解算出接收机的位置及钟差信息。提供8个通道的两组数据如下，X, Y, Z 为WGS-84坐标系下各通道所跟踪卫星的坐标，Range为与之对应的校正后的伪距测量值。(Using MATLAB pseudorange positioning equation solver, and the actual data processing, solution and calculate the position of the receiver clock error information. 8 provides the following two data channels, X, Y, Z coordinates of the WGS-84 coordinate system of each channel of the satellite tracking, Range for the pseudo-range measurements corresponding corrected.)

2D PWM Photonic crystal source code

A Power Allocation Scheme for MIMO OFDM Systems

实现卷积编码功能的matlab程序,参数可设。(source code for convolutional encoding)

实现汉明译码：最大似然译码及BPSK解调(HAMMING DECODER AND MODULATE)

public guideness for swarm Ops in Matlab

COMPRESSION OF YTHE IMAGE USING DCT

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)