lifting_signal_compression2

This script creates a diagram showing OFDM signals in the time domain. This shows that each of the carriers in the signal have an integer number of cycles making them orthogonal.

Micron Technology Nand ECC 纠错编码(Micron Technology Nand ECC C Code)

用maple和Mathematica解偏微分方程(Solving Nonlinear Partial Differential.Equations with maple and Mathematica)

一本介绍小波分析方法极其应用的书，从图书馆下载后还没看，感觉应该还不错(An introductory wavelet analysis method is extremely Application book from the library download not see, feel, should be pretty good)

核数据分类回归源程序，可用于数据建模或模式识别(Source of nuclear data classification and regression, can be used for data modeling or pattern recognition)

matlab例题 初学者试用 没有价值的东西(no value Example matlab beginners try something)

维纳滤波Matlab代码 1 可以直接作为函数调用； 2 可以减少图像的块效应，以及平滑图像。(Wiener Filter Matlab code can be used directly as a function call 2 blocks can reduce the image effects, and smoother image.)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

观察高次插值多项式的龙格现象： 给定函数f(x)=1/(1+25x^2)(-1<x<1).取等距节点，构造牛顿插值多项式N5（x）和N10（x）及三次样条插值函数S10（x）。分别将三种插值多项式与f（x）的曲线画在同一坐标系上进行比较(Observation of high order polynomial interpolation Runge phenomenon: the given function f (x) = 1/(1+25x ^ 2) (- 1 <x<1).取等距节点，构造牛顿插值多项式N5（x）和N10（x）及三次样条插值函数S10（x）。分别将三种插值多项式与f（x）的曲线画在同一坐标系上进行比较)

说明：  此程序是基于广义最小二乘法，运用递推算法。(This procedure is based on generalized least square method, the use of recursive algorithms.)