introductioninmatlabsimulink

dct and idct for image.matlab实现信息序列的嵌入和提取(dct and idct for image.matlab realize embedded information and extract sequence)

支持向量机matlab代码,用于分类和拟合(programme in matlab)

draw the HEVC partition

matlab codes for kernel SVM

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

该程序是对声音信号的滤波，采用的是小拨变换滤波，最后画出波形，希望对大家有用(The program is a voice signal filtering, using a small dial transform filtering, the final draw waveform, in the hope that useful)

Chapter 4. Interpolation and Polynomial Approximation Algorithm 4.1 Evaluation of a Taylor Series Algorithm 4.2 Polynomial Calculus Algorithm 4.3 Lagrange Approximation Algorithm 4.4 Nested Multiplication with Multiple Centers Algorithm 4.5 Newton Interpolation Polynomial Algorithm 4.6 Chebyshev Approximation

基于matlab的2fsk,2psk方仿真(Matlab-based 2fsk, 2psk party simulation)

说明：  计算hurst_exponent的matalb程序 用于检测时间序列的非线性特性(Procedures for calculating hurst_exponent of matalb time series for nonlinearity detection)

压缩感知方法演示，1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构(1-D signal is compressed sensing to achieve (orthogonal matching pursuit method Orthogonal Matching Pursuit) number of measurements M> = K* log (N/K), K is the sparsity, N signal length, can be almost completely reconstructed)