Matlab

matlab经典课堂讲义 matlab经典课堂讲义(matlab classic classic classroom lecture matlab classroom lectures)

用C++编写的一个用变步长梯形法来求积分的程序(Written in c++ ,a variable step size trapezoid method to integrate the process.)

该压缩包主要是关于lasso的matlab程序，其中包含lasso的code,lasso在例子中的应用，以及lemda的交叉验证等。(The archive is mainly about lasso matlab program, which includes lasso the code, lasso in the example application, as well as cross-validation lemda like.)

这个是对于fir带通滤波器以及iir低通滤波器的一个仿真。程序代码通俗易懂，意义很大。(This is a band-pass filter and the fir iir low-pass filter with a simulation. Program code easy to understand, very meaningful.)

数据频域分解法，可能不是很全面，可以利用的这个方法的代码很少，本人也是从网上找的，可能不好理解，大家看看参考把(Data in the frequency domain decomposition method, may not be very comprehensive, code can use this method rarely, I also find from the Internet, you may not understand, we look at the reference to)

matlab的100个实用源代码例子，包括图像处理，数值计算等常用源代码(matlab source code for the 100 practical examples, including image processing, numerical calculation of the source code used)

输入一副图像，检测图像的RGB，并输出其值的矩阵，将符合公式R>Rt，R>G>B,S>=(255-R)*S/R,等的图像点标记出来，并输出图像(A pair of input images, the image detecting RGB, and outputs the value of the matrix, would be consistent with the formula R> Rt, R> G> B, S> = (255-R)* S/R, and other image point marked, and output image)

fs1016 for speech compression

matlab神经网络工具箱的实用指南，第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。(matlab neural network toolbox of the Practical Guide, chap neural network are the basic introduction, chapter II, including designated by the toolbox on the network structure and symbols of the basic materials, as well as neural network set up some basic functions, such as new, init, adapt and train. Chapter III in order to reverse the spread of the network as an example to explain the back-propagation networks, the basic principle and application process.)

说明：  插值与拟合的一些matlab源码 里边有好几个 大家选择的看吧(Interpolation and fitting some of matlab source inside us There are several options and see)