TSsear

matlab对PLL环路相位噪声的仿真m文件(simulation of PLL loop phase noise)

Depth study of the power electronics industry development report

说明：  用matlab编写的ADPCM编码和解码.里面包括了编码和解码的m文件.The algorithm is based on IMA ADPCM. (using Matlab prepared by the ADPCM encoding and decoding. They include coding and decoding m documents. The algorithm is based on IMA ADPCM.)

Smith圆图的设计很实用的真的很实用的(Smith Chart design is very practical and really practical)

含有风浪流模型的水面船舶三自由度的MATLAB运动仿真(simulink of three degree of ship moving with wind wave and current)

This contain discrete fourier transform code and inverse discrete fourier transform coded in matlab and also contain dfs and idfs

一个ＭＡＴＬＡＢ源函数，用来计算插值，可以选择使用线性，三次样条插值，Hermite插值等方法，希望对大家有用。(A MATLAB source function, used to calculate the interpolation, you can choose to use linear, cubic spline interpolation, Hermite interpolation, in the hope that useful.)

Basic matlab codes 2

一些关于数据车牌识别的资料，对你进行车牌的识别程序设计有用(Some information about the data license plate recognition, license plate recognition program is useful for the design)

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)