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Contains a complete archiver by Haruhiko Okumura. The archiver uses an LZ engine whose output is compressed with static Huffman. The file is chopped into pieces which all get their own independent set of Huffman tree s. ARJ 2.41, ZIP 2.0 and PKZIP 2.04g use essentially the same method. ZOO and L ...

股票交易模拟器 A Stock Exchange simulator to show timers and randon number generators work together. A cool simulation for anyone who might think about playing the stocks and spending money and get a general idea how the system works.

This is an example how one could hide a process on Windows based operation systems from task viewers like ProcDump (G-RoM, Lorian & Stone) or ProcessExplorer (SysInternals). It could e.g. be used as some kind of dump protection. The way to get this done is very different on NT and 9x machines.

ARM下 Implement matrix multiplication of 2 square matrices, with data read from an input file and printed both to the console and to an output file. &#8226 Assume a file with correct data (no garbage, characters, etc.). &#8226 you must check and provide appropriate execution for 2 extra cases, namel ...

It is about C++ Network programming(Socket Application Programming Interface).If you listen this lesson, you must get this program!

The Audio File Library provides a uniform programming interface to standard digital audio file formats. This library allows the processing of audio data to and from audio files of many common formats (currently AIFF, AIFF-C, WAVE, NeXT/Sun .snd/.au, IRCAM, AVR, Amiga IFF/8SVX, and NIST SPHERE). The ...

本程序用VC++完成 定义类模板SortedSet （包括方法的实现） ，即元素有序的集合，集合元素的类型和集合元素的最大个数可由使用者确定。要 求该类模板对外提供以下三种操作： insert：加入一个新的元素到合适的位置上，并保证集合元素的值不重复； get：返回比给定值大的最小元素的地址。若不存在，返回-1； del：删除与给定 ...

PathPlannerApp Manual With Tutorial.doc is a path planning-tutorial that provides detailed explanation and pseudo-codes. In order to get the most out of the tutorial, you should start with the "PathPlannerApp.base" and avoid looking through the "PathPlannerApp.solution" untill you have completed th ...

This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for ...

The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the re ...