51串行令牌格式 a51編譯 Read data from serial port and write into buffer DPTR pointed in XRAM if a data frame is received and calculate the check sum if a information frame is received return control byte only
標(biāo)簽： data pointed buffer serial
上傳時(shí)間： 2015-06-14
上傳用戶：極客
基于單片機(jī)實(shí)驗(yàn)裝置的A/DD/A實(shí)驗(yàn) 實(shí)驗(yàn)臺(tái)能夠?qū)崿F(xiàn)交通燈打印等
標(biāo)簽： DD 單片機(jī) 交通燈 實(shí)驗(yàn)裝置
上傳時(shí)間： 2013-12-17
上傳用戶：無(wú)聊來(lái)刷下
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(biāo)簽： Airport program several System
上傳時(shí)間： 2015-06-14
上傳用戶：skhlm
Displaying large amounts of technical data in a chart can be a frustrating task. You can find tons of charting controls with fancy effects and useless features, but when it comes to displaying many curves at once, independently scaled on different axes, most of them fail.
標(biāo)簽： frustrating Displaying can technical
上傳時(shí)間： 2014-01-05
上傳用戶：exxxds
uml 實(shí)例 Digital Sound Recorder: A case study on designing embedded systems using the UML notation.
標(biāo)簽： designing Recorder embedded notation
上傳時(shí)間： 2015-06-15
上傳用戶：nanshan
a non-sharing smart pointer class that can be used with STL containers such as std::map, vector, list, set, and deque. The smart pointer has an assignment operator and greater than operator that call the target object s operator.
標(biāo)簽： non-sharing containers pointer vector
上傳時(shí)間： 2015-06-15
上傳用戶：Late_Li
40 a 傳送文件 在匯編環(huán)境下傳送40個(gè)A
上傳時(shí)間： 2013-12-24
上傳用戶：小草123
青蛙過(guò)河~ 就是青蛙過(guò)馬路 過(guò)馬路很危險(xiǎn)請(qǐng)小心... that s a
標(biāo)簽： that
上傳時(shí)間： 2015-06-17
上傳用戶：gyq
This Program Is Designed To Simulate A Spatial Antenna Array System Working On The MUSIC Algorithm For The Angle Of Arrival Estimation And Null Steering Algorithm For The Weights Estimation To The Required Output Radiation Pattern .
標(biāo)簽： Designed Algorith Simulate Program
上傳時(shí)間： 2014-01-02
上傳用戶：三人用菜
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 network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points.
標(biāo)簽： approximation demonstrates capabilities Function
上傳時(shí)間： 2014-01-01
上傳用戶：zjf3110
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