毕设时的LDPC码的完整的编译码matlab例程

基于伪码捕获的扩频信号收发端matlab程序，调制解调、扩频、解扩、fft变换,快速捕获

将二维数据转换成libsvm格式的程序，matlab格式文件，可作函数调用。(Will be two-dimensional data into libsvm format procedures, matlab format and can be used for function calls.)

DGGBETA针对广义高斯，GGDEMO，，GGD中BETA估计，广义高斯参数估计，概率密度，(DGGBETA for Generalized Gaussian, GGDEMO,, GGD in BETA estimated generalized Gaussian parameter estimation, probability density,)

EZW:基于小波变换的零树编码程序,matlab实现(EZW : Based on the wavelet transform Zerotree coding process, achieving Matlab)

有限元方法fortran编程，包括二维三维线性非线性静态分析、稳定流瞬时流分析、振动问题、特征值问题、并行计算等。包含了所有子程序。(Finite element method fortran programming, including 2D and 3D linear and nonlinear static analysis, steady flow transient flow analysis, vibration problems, eigenvalue problems, parallel computing. Contains all subroutines.)

应用了大量互相关检测算法从而得出了同步性能错检率的大小，比较适合刚学习同步算法的人去研究。(Application of a large cross-correlation detection algorithm to arrive at the synchronization performance of the error detection rate of size, more suitable for people just learning to study synchronization algorithm)

使用matlab编写的一种优化的lms算法 xlms算法,比lms算法更精准(Lms algorithm using an optimized algorithm matlab prepared xlms more accurate than lms algorithm)

基于BP神经网络的图形图像压缩算法 可以运行(BP neural network can run a graphical image compression algorithm based on)

应用背景 本代码是在大规模MIMO下的信道估计算法，包括主流的LS，MMSE，LMMSE等算法。对学习信道估计有很大的参考价值，值得下载。 关键技术MIMO信道估计算法 含有大量各种估计方法，包括最小二乘LS，最小均方误差MMSE，还有几种信道估计方法的比较。分别在静态信道和准静态信道下进行了每种算法的信道估计，参考价值很大。代码详细，绝对能正常运行！

function pareto = moead( mop, varargin) %MOEAD runs moea/d algorithms for the given mop. %   Detailed explanation goes here %   The mop must to be minimizing. %   The parameters of the algorithms can be set through varargin. including %   popsize: The subproblem"s size. %   niche: the neighboursize, must less then the popsize. %   iteration: the total iteration of the moead algorithms before finish. %   method: the decomposition method, the value can be "ws" or "ts".