mapminmax

matlab程序设计之图像锐化源码程序matlab programming for image sharpening source program(matlab programming for image sharpening source program matlab programming for image sharpening source program)

some figures generated in the book using Matlab are also provided as script files for learning experience

首先对采样信号进行傅里叶变换，计算出功率谱或幅值谱，然后用功率谱或者幅值谱的数据，计算每一个中心频率的带宽内数据的平均值。(Firstly, Fourier transform is applied to the sampled signal to calculate the power spectrum or amplitude spectrum, and then the average value of the data within the bandwidth of each center frequency is calculated by using the power spectrum or amplitude spectrum data.)

安装图安装MATLAB的经典教程Classic installation diagrams install MATLAB Tutorial(MATLAB installation plan to install a classic tutorial Classic installation diagrams install MATLAB Tutorial)

this include c c++ files as helpful to all

This is a database for people who is drinking a lot. The database is useful for computing complex network.

几种改进的粒子群算法（PSO），可用来学习算法的编程，以及算法之间的对比等等。(Several improved particle swarm optimization (PSO), can be used to learn programming algorithms, as well as contrast between algorithms and so on.)

S4VM 对传统的S3VM 进行了改进。传统的S3VM 基于低密度假设，它试图找到一个低密度的分界线， 也就是更倾向于决策边界穿过特征空间的低密度区域。S4VM 和S3VM 的不同点在于，S3VM 试图把注意力 集中在一个最优的低密度分界线上，而S4VM 则同时关注多个可能的低密度分界线。之所以这样做，是因为 给定一些有标记的点和大量未标记的点，可能存在着不止一个“间隔”较大的低密度分界线（如图2 ），基于 有限的标记样本，很难决定哪个是最好的。虽然这些低密度分界线都与有限的标记样本吻合，但它们之间差 异很大，因此如果选择错了，会有一个很大的损失，导致性能下降。所以S4VM 试图考虑所有可能的低密度 分界线。 (Over the past decade, many improved versions are proposed to solve every different specific problem of semi-supervised support vector machines, for example: to the inefficiency issue, meanS3VM is introduced to performance degenerate problem, S4VM is proposed)

获取导航电文，通过卷积地方法，十分有用，希望能够帮助大家！(Access to the navigation message, through the method of convolution and is very useful to help you!)

Auto-scales data table Z (new operation or based on know parameters), or reverses auto-scaling operation.