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这是一个简单的网络聊天的程序,能实现基本交互的功能-This is a simple network chat program, to achieve the basic functions of interactive

一个波束形成的例子，比较了在瑞利信道中使用波束成形和不使用波束成形的误码率。(An example of beamforming is made to compare beamforming and without beamforming bit error rate in Rayleigh channel.)

automatic Xenomai installation

This class provides a basic demonstration of how to use the android.hardware.SensorManager SensorManager API to draw a 3D compass.

这是带止盈止损和追踪止损+平仓保护的EA(This is EA with stop loss and tracking stop loss plus warehouse closing protection.)

OFDM modelisation on matlab

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.

Tactically maneuvering targets are difficult to track since acceleration cannot be observed directly and the accelerations are induced by human control or an autonomous guidance system therefore they are not subject to deterministic models. A common tracking system is the two-state Kalman Filter with a Singer maneuver model where the second order statistics of acceleration is the same as a first order Markov process. The Singer model assumes a uniform probability distribution on the target s acceleration which is independent of the x and y direction. In practice, it is expected that targets have constant forward speed and an acceleration vector normal to the velocity vector, a condition not present in the Singer model. This paper extends the work of Singer by presenting a maneuver model which assumes constant forward speed and a probability distribution on the targets turn-rate

用C#開發的YouTube Downloader,只要貼上YouTube URL,就可以把Download YouTube影片(C# development of YouTube Downloader, as long as the paste YouTube URL, you can put Download YouTube Videos)

N-Gram Hadoop Mapreduce. It has some method to calculate N-GRAm Statistics as: NGSuffixSigma, NGNaive, NGAprioriScan, NGAprioriIndex.