Riemann-solver

说明：  这是一本关于matlab的教程，同时也是一本信号处理的教程，其特点是将matlab用于信号处理(This is a tutorial on matlab, but also a signal processing tutorial, and its characteristic is used in signal processing matlab)

说明：  matlab学习书籍，pdf格式，书名：MATLAB6.5辅助图像处理(matlab learning books, pdf format, title: MATLAB6.5 assisted image processing)

说明：  优化问题的几个matlab解法实例，希望给大家带来帮助。(Optimization method several matlab example, hope to bring you help.)

感知器MATLAB的算法,能够很好的实现感知器的分类(gan zhi qi matlab suanfa shixian )

the matlab code for FDTD

GUI Matlab for simulating STBC

AMRA建模，主要包括平稳化，判断阶数，建立模型，利用模型进行预测(ARMA modeling beginner when used, including smoothing determine the order is appropriate, modeling, prediction)

几个matlab的GUI设计入门文档，适合初学者。(Several matlab GUI design entry document, suitable for beginners.)

MATLAB2013超强教程,对于初学MATLAB的同学很有用(MATLAB2013 Super tutorial)

Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. Gridding is simple and robust and has parameters, the grid oversampling ratio and the kernel width, that can be used to trade accuracy for computational memory and time reductions. We have found that significant reductions in computation memory and time can be obtained while maintaining high accuracy by using a minimal oversampling ratio, from 1.125 to 1.375, instead of the typically employed grid oversampling ratio of two. When using a minimal oversampling ratio, appropriate design of the convolution kernel is important for maintaining high accuracy