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基于支持向量机（SVM）回归的MATLAB演示程序(Based on support vector machine (SVM) regression of the MATLAB demo)

粒子群优化算法（PSO），matlab代码，包含23个标准测试函数。(Particle swarm optimization （PSO）, matlab code, including 23 standard test functions.)

改进的粒子群算法，与遗传算法，神经网络，模拟退火等算法相结合(An improved particle swarm optimization algorithm combined with genetic algorithm, neural network, simulated annealing algorithm and so on)

it contains report ,matlab codes for PAPR ofdm reduction techniques like SLM,PTS methods.all are working.

说明：  这是一篇有关无线连接OFDM信道模型的文章，里面有仿真程序，我调过了，很好用！(This is one of the wireless connectivity OFDM channel model articles, there are simulation program, I emphasized that good use!)

The median filter is normally used to reduce noise in an image, somewhat like the mean filter. However, it often does a better job than the mean filter of preserving useful detail in the image.

FDTD.m 程序包括程序相关变量的定义，网格的尺寸的划分，激励源的设置及基于FDTD的圆柱谐振腔迭代分析。其中通过改变空间离散度dr和采样点个数nmax，进行分析得出结论；且空间步长dt与dr有关，可得出空间步长对结果影响。(FDTD.m program includes the definition of program-related variables, set the meshing of size, the excitation source and the FDTD-based iterative analysis of cylindrical cavity. By changing the space in which the number of discrete sampling points of the dr and nmax, the conclusions drawn the analysis and space step dt and dr related space step can be drawn the impact on the results.)

非线性电容的matlab/simulink模型，实测可用！(Nonlinear capacitance matlab/simulink model, the measured available!)

通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

利用matlab实现光纤的模式分布图的模拟。(Using matlab to achieve mode fiber distribution simulations.)