很好用的粒子群与K均值聚类的混合算法调试工具

说明：  喷泉码的LT码的编码的matlab的部分仿真程序(Simulation of fountain codes )

matlab的最优化算法的源码，还包括一些高级的优化算法，比如粒子群(The optimization algorithm matlab source code, including some advanced optimization algorithms, such as particle swarm)

2011年全国大学生数学建模大赛A题，8种主要重金属元素在该城区的空间分布(National Mathematical Modeling Contest A title in 2011, eight major heavy metal elements in the spatial distribution of the city)

SVM-RBF演示程序直接放到matlab command窗口运行就可以了(SVM-RBF demo program directly into the matlab command window to run on it)

说明：  包含了《精通MATLAB》书中所有源代码，极具参考与实用价值！(Contains the )

function to generate hexagonal nanonetworks with pores with various

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

本程序实现了QC-LDPC码的编码过程，可以显示校验矩阵有没有4环，并可以显示校验矩阵的填充情况，图1为填充的1，图2为填充的0

In this file you can find the rayleigh fading channel. you can use matlab to open it.

此程序是计算wigner-ville分布、伪wigner-ville分布和平滑伪wigner-ville分布的程序，需要下载matlab时频分析工具箱(This procedure is the calculation wigner-ville distribution, pseudo-wigner-ville distribution and smooth pseudo-wigner-ville distribution procedures need to download the time-frequency analysis matlab toolbox)