t2cx

在OFDM仿真模型的基础上用MATLAB语言编写出OFDM发送、信道及接收整个系统,在系统仿真正确的前提下,对循环前缀、信道估计等性能改善方法进行进一步仿真验证,得到了预期的理想结果 (In OFDM simulation model based on the use of MATLAB language to send the OFDM, channel and receive the entire system, in the system under the premise of the correct simulation of the cyclic prefix, channel estimation methods for further performance improvement simulation, have been expected results)

matlab经典算法的程序 其中包括：插值与拟合、绘图、数据分析、规划问题、Arithmetic等(Matlab classical algorithm procedures including : interpolation and fitting, mapping, data analysis, planning, Arithmetic etc.)

采用遗传算法解决多TSP旅行商问题的matlab工具箱，很有帮助(Using genetic algorithms to solve the traveling salesman problem TSP much matlab toolbox, helpful)

说明：  OFDM的基本框架搭建，实现OFDM技术的基本功用，适合于初学者(Build the basic framework of OFDM, OFDM technology to achieve the basic skills to use, suitable for beginners)

使用贪心算法解决了图论算法中的最大点集覆盖问题 (Greedy algorithm using graph theory algorithms to solve the biggest point set covering problem)

子空间类波达方向(Direction Of Arrival,DOA)估计算法的关键在于得到高质量的信号子空间估计。该文利用矩阵伪逆的双正交性,针对源信号不相关而其本身是色信号的情况,给出了一种新颖的DOA估计算法,它不需要知道噪声统计特性。该算法利用一组空间相关矩阵的结构化信息,能稳健而精确地估计出信号子空间,从而得到DOA的精确估计。仿真实验证实了所给算法的有效性。(The key subspace DOA (Direction Of Arrival, DOA) estimation algorithm is to get a high quality signal subspace estimation. In this paper, the use of pseudo-inverse matrix dual orthogonal signals for the source itself is not related to the case and the color signal is given a novel DOA estimation algorithm, it does not need to know the statistical properties of the noise. The algorithm uses a set of structured information in spatial correlation matrix can be robust and accurately estimate signal subspace to obtain an accurate estimate of the DOA. Simulation experiments confirmed the effectiveness of the proposed algorithm.)

说明：  利用MATLAB和差分进化算法（DE）求解旅行商问题（TSP）(Using MATLAB and DE to solve TSP)

Matlab 的PSO程序。 to apply this to different equations do the following generate initial particles in a search space close to actual soln fool around with no of iterations, no of particles, learning rates for a truly generic PSO do the following increase the number of particles , increase the variance i.e let the particles cover a larger area of the search space then fool around as always with the above thins(The PSO program Matlab. to apply this to different equations do the followinggenerate initial particles in a search space close to actual solnfool around with no of iterations, no of particles, learning ratesfor a truly generic PSO do the followingincrease the number of particles, increase the variancei.e let the particles cover a larger area of the search spacethen fool around as always with the above thins)

MATLAB / IMAGE PROCESSING / BILATERAL FILTER

Robust Multichannel Blind Deconvolution via Fast Alternating Minimization