mmread reads virtually any media file. If Windows Media Play can play it, so should mmread. It uses the Window s DirectX infrastructure to ％ render the media, so other OSs are out of luck.
標簽： mmread virtually Windows should
上傳時間： 2015-06-11
上傳用戶：xuan‘nian
the attached utility is a work I ve submitted to the university It shows what a jpeg compression is all about.
標簽： compression university the submitted
上傳時間： 2015-06-12
上傳用戶：zhouchang199
This is a program that I did several days ago.It is about Airport Ticket Sale System.You can use it as an example.
標簽： Airport program several System
上傳時間： 2015-06-14
上傳用戶：skhlm
Intro_to_VDSP_transcript.rar is very nice doucoment ,you can use it freely
標簽： Intro_to_VDSP_transcript doucoment freely nice
上傳時間： 2014-01-05
上傳用戶：wfl_yy
delphi CSDN 技術文檔 IT人博客：記錄IT人的喜怒哀樂，書寫IT人的成長奮斗。 今天，你學習了嗎，進步了嗎，反思了嗎，收獲了嗎，感悟了嗎？ 和你一起成長的，是IT人博客！我準備好了，你準備好了嗎？ 一起來IT人博客學習交流吧！ IT人博客：http://www.itrbk.com 建站之家：www.sea20.com 自助建站、企業建站、建站系統！為企業和個人提供建站服務！ 愛搜萬網： 全力打造完美搜索引擎，適合中國人的搜索引擎！ http://www.Aaiso.com IT人博客：http://www.itrbk.com 建站之家：www.sea20.com 自助建站、企業建站、建站系統！為企業和個人提供建站服務！ 愛搜萬網： 全力打造完美搜索引擎，適合中國人的搜索引擎！ http://www.Aaiso.com
上傳時間： 2013-12-27
上傳用戶：moshushi0009
counter and adder program by vhdl. Just enjoy it!
標簽： counter program adder enjoy
上傳時間： 2015-06-15
上傳用戶：x4587
it is used to generate random number to simulate the conmmunication scheme, very useful
標簽： conmmunication generate simulate random
上傳時間： 2013-11-27
上傳用戶：lunshaomo
This applet illustrates the prediction capabilities of the multi-layer perceptrons. It allows to define an input signal on which prediction will be performed. The user can choose the number of input units, hidden units and output units, as well as the delay between the input series and the predicted output series. Then it is possible to observe interesting prediction properties.
標簽： capabilities illustrates multi-layer perceptrons
上傳時間： 2015-06-17
上傳用戶：lnnn30
annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.
標簽： Artificial developed implement Network
上傳時間： 2014-08-17
上傳用戶：trepb001
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 relative importance (amplitude) of each component.
標簽： algorithm Expectation-Maximization iterative optimi
上傳時間： 2015-06-17
上傳用戶：獨孤求源
