circular_array

设计一幅运动模糊图片。自定义点扩展函数，利用卷积运算实现运动模糊(the design of a motion-blurred images. Since the definition of point spread function, the use of convolution operation to achieve motion blur)

混频器的matlab源代码，极具参考价值，请大家参考(Mixer matlab source code, great reference value, please refer to)

利用模糊控制結合滑模控制合成的模糊滑模控制器，應用在磁浮軸承系統。(The use of fuzzy control with sliding mode control synthesis of fuzzy sliding mode controller, used in magnetic bearing systems.)

三结点三角形单元有限元计算程序 matlab编程(Three-node triangular element finite element program matlab programming)

Program based on rayleigh fading channel with 2Rx MIMO and finding Minimum mean square equalization

Gauss Seidel equation solving for power system analysis

精通MATLAB计算科学书源代码第一张，原书正版CD源程序(Proficient in MATLAB source code for calculating the first scientific book, the original source CD to the book)

OPTIMIZATION OF A WIND TURBINE ROTOR WITH VARIABLE AIRFOIL SHAPE VIA A GENETIC ALGORITHM

This file for computing the matching pursuit

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)