WPF-Samples

MFC Graphics Tablet Test Application

一个简单的三3D环境漫游系统,终于可以实现三维环境渲染了(a simple three roaming 3D environment, can finally achieve a 3D environment exaggerated)

基于microchip公司的dspic33fj32mc204，在永磁同步电机上实现单电阻电流采样的foc控制源码，还有弱磁控制的哦。(Permanent magnet synchronous motor based on microchip company dspic33fj32mc204, single-resistor current the foc control sample source, the field weakening control.)

说明：  闻亭 DSP 培训 第一天 作业 【源码】。(Wintech DSP training the first day of operation 【Source】.)

使用VC实现SNMP管理程序，内容详细，对于初学者很有帮助，(VC achieved using SNMP management program, detailed, useful for beginners,)

sharpdevelop做的SharpDevelopReports(sharpdevelop do the SharpDevelopReports)

ADPCM（自适应差分脉冲调制编码）编解码程序(ADPCM)

说明：  Direct3D中的2D编程，学习参考代码(2D in Direct3D programming, learning reference code)

一个窗口类与非窗口类调用SetTimer的例子，适合于初学者。(A window class and non-window class called SetTimer example, suitable for beginners.)

tf–idf, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus.[1]:8 It is often used as a weighting factor in information retrieval and text mining. The tf-idf value increases proportionally to the number of times a word appears in the document, but is offset by the frequency of the word in the corpus, which helps to control for the fact that some words are generally more common than others. Variations of the tf–idf weighting scheme are often used by search engines as a central tool in scoring and ranking a document s relevance given a user query. tf–idf can be successfully used for stop-words filtering in various subject fields including text summarization and classification. One of the simplest ranking functions is computed by summing the tf–idf for each query term many more sophisticated ranking functions are variants of this simple model.