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通讯编程文档 Welcome to Beginning Algorithms, a step-by-step introduction to computing algorithms for the real wo
Welcome to Beginning Algorithms, a step-by-step introduction to computing algorithms for the real world.
Developers use algorithms and data structures every day of their working lives. Having a good understanding
of these algorithms and knowledge of when to apply them is essential to producing softw ...
压缩解压 The frequency domain plays an important role in image processing to smooth, enhance, and detect edg
The frequency domain plays an important role in image
processing to smooth, enhance, and detect edges of images. Although
image data typically does not include imaginary values, the fast Fourier
transform (FFT) has been used for obtaining spectra. In this paper,
the fast Hartley transform (FHT) is u ...
Java编程 输入5个学生的成绩(从0到100的整数)
输入5个学生的成绩(从0到100的整数),并将这5个数保存到文件“data.txt”中。然后再编写一个程序,从文件“data.txt”中读取这5个学生的成绩,计算并输出它们的平均数,然后再按从小到大的顺序输出这5个学生的成绩。
数学计算 寻找函数的全局极小值
寻找函数的全局极小值,global minimization of contrast function with random restarts the data are assumed whitened (i.e. with identity covariance matrix). The output is such that Wopt*x are the independent sources.
Java编程 A Java web application, based on Struts and Hibernate, that serves as an online running log. Users m
A Java web application, based on Struts and Hibernate, that serves as an online running log. Users may enter information about workouts, and can track historical performance and data using web-based charts.
其他书籍 Linux编程的经典书
Linux编程的经典书,OReilly系列。The new edition of Understanding the Linux Kernel takes you on a guided tour through the most significant data structures, many algorithms, and programming tricks used in the kernel.
文章/文档 A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of moder
A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of modern data analysis - a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box.
matlab例程 Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
DIM, the number of centres in the mixture model and the type of the
mixture model, and returns a data structure MIX.
matlab例程 Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model
Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen