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采用reed-muller码降低ofdm的par方法(used reed-cup code to reduce the par method ofdm)

5种改进的和声搜索算法的程序实现，其中两种是本人提出的并且公开发表的论文的程序实现(The improved harmony search algorithm program, two of which I proposed and published papers program)

一份matlab程序的电子资料，从入门到精通非常适合爱好matlab学习者。(A matlab program of the electronic data, entry to the proficient in matlab learners are well suited for hobbies.)

Quality & Usability Lab, together with Assessment of IP-based Applications Telekom Innovation Laboratories 开发的声场合成工具箱，适合研究声场合成的人员使用。(Quality & Usability Lab, together with Assessment of IP-based Applications Telekom Innovation Laboratories developed sound field synthesis kit, suitable occasion to study sound personnel.)

欢迎大家下载学习，PLS部分最小二乘工具箱,有小波分析的盲信号处理。( Welcome to download the study, PLS PLS toolbox, There Wavelet Analysis Blind Signal Processing.)

Ultrasound simulation(Ultrasound simulation FILD II)

costas环的simulink实现，可以直接在matlab上运行实现通信系统中的载波同步，对于学习或设计通信系统有很大帮助(simulink realization of costas loop that can run directly on the matlab implementation of carrier synchronization in communications systems, communications systems for the study or design of great help)

是关于粒子群的一个优化MATLAB程序，直接可以生成M文件使用，稍作修改即可。(MATLAB program is the particle swarm optimization can directly generate the M-file using minor modifications.)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

粒子群算法是一种新的模仿鸟类群体行为的智能优化算法，描述了基本粒子群算法和改进粒子群算法的原理。(Particle swarm optimization (pso) algorithm is a kind of new imitate birds swarm behavior of intelligent optimization algorithm, describes the basic principle of particle swarm optimization (pso) algorithm and improved particle swarm algorithm .)