lossless_watermark_using_HVS

对信号进行重构，寻找幅度最大的正弦分量，fft的反变换(Reconstruction of the signal, look for the biggest component of the sinusoidal, fft of the inverse transform)

dq parameters of windmill

matlab code brain computer analysis

说明：  基于遗传算法的动态TSP问题的研究，内容详细，条理清晰(Based on genetic algorithm of dynamic TSP research)

一些关于信号处理谱分析的MATLAB代码，对学习频谱分析比较有用(some code for study spectrum_analysis in signal processing are very useful.)

说明：  一个对Fluent中k-e湍流模型的修正udf程序，欢迎提出意见。(One pair ke turbulence model in Fluent udf amendment procedures, suggestions are welcome.)

nonlinear amplifier effect on QAM modulation

说明：  speacker age human selection

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

CML for block turbo coding