BLOCK-SPARSITY-RECOVERY

PYTHON programming: AN INTRODUCTION TO COMPUTER SCIENCE by JOHN ZELLE

使用遗传算法优化fcm算法对初始值敏感的问题，得到全局最优解，求出聚类中心作为fcm算法的输入(Using genetic algorithm and optiml fcm algorithm solving initial,get the best solution and make the initial cluster to be the input)

说明：  为考查各种不确定性因素对系统运行的影响，需要大量地重复性潮流计算。结合概率理论形成的概率潮流计算能够充分考虑这些不确定性因素。由概率潮流计算可以得到节点电压、电流、支路潮流的均值、方差、概率密度函数等统计特性，从而更全面地反映系统运行状况。(In order to examine the impact of various uncertainties on system operation, a large number of repetitive power flow calculations are needed. The probabilistic power flow calculation based on probability theory can fully consider these uncertainties. Statistical characteristics of node voltage, current and branch power flow, such as mean, variance and probability density function, can be obtained from the calculation of probabilistic power flow, thus reflecting the operation status of the system more comprehensively.)

E_pulse methode target identification

MATLAB数学工具箱,包含了MATLAB在工程数学应用中的函数及其用法(MATLAB Math Toolbox, MATLAB includes mathematical applications in engineering functions and their usage)

说明：  包含波束形成的仿真，五种阵列波束：线阵，主瓣偏移线阵，切比雪夫加权的线阵，圆阵，平面阵(Beamforming simulation contains five arrays beam: linear array, the main valve offset linear array, weighted Chebyshev linear array, circular array, planar array)

本程序给出了采用Turbo编码及其信道估计的OFDM的性能仿真。采用时域LS信道估计。对于初学OFDM及信道估计的非常有帮助。(This program is used to simulate the performance of OFDM with turbo coding and time domain LS channel estimation. It is useful for the primer for learning OFDM systems and channel estimation algorithms.)

本算法基于LCMV实现多个干扰情况下的自适应波束形成(LCMV,interference mitigation,adaptive beamforming)

用matlab语言仿真iir滤波器的性能和参数,程序中有详尽的说明(simulation using Matlab language IIR filter performance and parameters, procedures are spelled out)

采用自适应波束形成技术，获得想得到的方向图。(Adaptive beamforming technology, access to the desired pattern.)