An-Introduction-to-Programming-and-Numerical-Meth

小波光谱去噪源代码，包含三种阈值去噪方法和误差分析(Wavelet Spectra Denoising source code, including the three threshold denoising method and error analysis)

这是我托朋友在国外网站上下载的有关人工免疫算法的一系列程序，有很多算法的源程序，是用matlab编写的，对搞这方面的研究非常有帮助。(This is what I asked a friend abroad website of the artificial immune algorithm a series of procedures, the source has a lot of algorithm is the use of matlab prepared to engage in research in this area very helpful.)

MATLAB环境下基于OFDM系统的前导序列中短训练序列的误差估计仿真程序(the offset of the long training secquence of preamble)

这是一个图像配准的MATLAB代码，有很好的GUI界面，以像素级进行配准(This is an image registration MATLAB code, a very good GUI interface to perform pixel-level registration)

可直接计算得到多重分形谱,本程序的性能已经达到较高水平，关于小波的matlab复合分析。( It can be directly calculated multi-fractal spectrum, The performance of the program has reached a high level, Matlab wavelet analysis on complex.)

使用快速阈值迭代收敛（FISTA）求解图像去模糊问题，内含多个m文件和一个Amir Beck 写的说明文件(MATLAB code for total variation-based deblurring with FISTA，including a helper document by Amir Beck )

相信大家已经注意到了，伴随着微观金融理论的发展，以随机分析为核心的数学理论 也在同步发展，并不断为金融学家们所吸收和运用，它们交织在一起，密不可分又相映生 辉②。它们相映生辉倒不要紧，但就给研究者带来了很多困难：由于微观金融学研究重点的 特殊性和复杂性（不确定性和动态性），注定以随机分析作为其主要数学工具，这无形中提 高了这一学科的门槛③。

用于svc分类， 用SMO实现SVC，并在UCI数据集Iris上进行实验,2. 可借鉴现成SVM软件包，实现回归分析。 (For svc classification, using SMO to achieve SVC, and in the UCI Iris data set on the experiment, 2. SVM can learn ready-made packages, to achieve regression analysis.)

1: MSE.m : to perform Mean Square Error between 2 images 2: most.m : to get the most redundant value in a matrix 3: getneighbors.m : to get circular neighbors of pixel 4: ColorSpaceConversion.m : convert an image into different color spaces and shows their channels 5: ImageSlicer : to separate the 8 bit planes of an image(return m*n*8 matrix) 5:

使用MATLAB仿真，产生矩形脉冲，是超宽带传输信号的基本图形 (Simulation using MATLAB, resulting in the rectangular pulse, ultra-wideband transmission signal is the basic graphics)