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抖动算法分为随机抖动算法和有序抖动算法。随机抖动算法随机产生一组模板方阵数列，随机数的产生期间在图像的最小灰度和最大灰度之间。有序抖动算法是人为地设置一些模板值进行匹配操作，主要有分散性抖动算法(Disperse Dither)和聚集型离散算法(cluster Dith神两种。分散型以Bayer有序抖动算法为代表。后来Ulichenay在以上两种算法的基础上，提出了局部聚集整体分散的抖动算法。(Dithering algorithm is divided into random dithering algorithm and ordered dithering algorithm. The random dithering algorithm randomly generates a set of template square matrix sequences, where the generation of random numbers is between the minimum gray level and the maximum gray level of the image. The ordered dithering algorithm is to manually set up some template values for matching operations. The main algorithms are decentralized dithering algorithm (Disperse Dither) and clustered discrete algorithm (cluster, Dith, and two). The decentralized algorithm is represented by the Bayer ordered dither algorithm. Later, Ulichenay proposed a local aggregation and scatter jitter algorithm based on the above two algorithms.)

c写的源代码，用粒子系统简单模拟雷电的自然景观(c write the source code, using a simple particle system simulation of thunder and lightning of the natural landscape)

第一个参数设定助力功能允许与否，1为允许，0为禁止 第二个参数设定助力力量(PWM占空比),数值范围：0~0x355，数值越大，力量越大 第三个参数设定助力时间，数值越大，时间越长 (The first parameter set boost feature allows it or not, one to allow, 0 to disable the second parameter set booster power (PWM duty cycle), value range: 0 ~ 0x355, the greater the value, the greater the force the third parameter setting booster time, the greater the value, the longer)

维特比译码算法，用 VC++编写的（3，1，2）码译码过程，(Viterbi algorithm, using VC++ to prepare the (3,1,2) code decoding process,)

说明：  此程序实现了如何在TXT或WORD文档中进行数据挖掘,在文本中提取有用信息(The realization of this procedure how to TXT or WORD document to carry out data mining, in the text to extract useful information)

适用于任意坐标系的高斯投影正反算，包含弧度于角度互相转换函数(Applies to an arbitrary coordinate system the positive and negative Gauss projection operator, including the curvature at the point of transfer function between)

a calculator in c++ that you can calculate mass problems so easy with

vc编写的小巧日历软件源码vc calendar software source code written in compact(vc small calendar software source code written in vc calendar software source code written in compact)

北京大学分词词表，有属性，是进行分词词性标注的重要资源。(Peking word vocabulary, properties, and is an important resource for sub-word part-of-speech tagging.)

字符匹配问题为典型的字符数组的运用问题，体现了c语言面向过程的特性，在VC6.0下能够正确编译以及运行。(The problem of character matching is a typical character array, which reflects the characteristics of C language and can be compiled and run in VC6.0. )