為了在CDMA系統中更好地應用QDPSK數字調制方式，在分析四相相對移相（QDPSK)信號調制解調原理的基礎上，設計了一種QDPSK調制解調電路，它包括串并轉換、差分編碼、四相載波產生和選相、相干解調、差分譯碼和并串轉換電路。在MAX+PLUSⅡ軟件平臺上，進行了編譯和波形仿真。綜合后下載到復雜可編程邏輯器件EPM7128SLC84-15中，測試結果表明，調制電路能正確選相，解調電路輸出數據與QDPSK調制輸入數據完全一致，達到了預期的設計要求。 Abstract: In order to realize the better application of digital modulation mode QDPSK in the CDMA system， a sort of QDPSK modulation-demodulation circuit was designed based on the analysis of QDPSK signal modulation-demodulation principles. It included serial/parallel conversion circuit, differential encoding circuit, four-phase carrier wave produced and phase chosen circuit, coherent demodulation circuit, difference decoding circuit and parallel/serial conversion circuit. And it was compiled and simulated on the MAX+PLUSⅡ software platform,and downloaded into the CPLD of EPM7128SLC84-15.The test result shows that the modulation circuit can exactly choose the phase，and the output data of the demodulator circuit is the same as the input data of the QDPSK modulate. The circuit achieves the prospective requirement of the design.
上傳時間： 2013-10-28
上傳用戶：jyycc
Logger iButton devices have gained a lot of popularity with researchers. Although free evaluation software is easy to use and welldocumented, the choices and inputs that need to be made can sometimes be challenging. This application note explains technicalterms that are common with temperature logger iButtons and how they relate to each other. Additionally, it presents an algorithm tohelp users choose the necessary input parameters, including the sample rate based on a user's needs and the available memory tostore the data.
上傳時間： 2013-11-16
上傳用戶：xywhw1
The purpose of this computer program is to allow the user to construct, train and test differenttypes of artificial neural networks. By implementing the concepts of templates, inheritance andderived classes from C++ object oriented programming, the necessity for declaring multiple largestructures and duplicate attributes is reduced. Utilizing dynamic binding and memory allocationafforded by C++, the user can choose to develop four separate types of neural networks:
標簽： differenttype construct computer purpose
上傳時間： 2013-12-06
上傳用戶：13517191407
FCMDEMO displays a GUI window to let you try out various parameters in fuzzy c-means clustering for 2-D data. You can choose the data set and clustering number from the GUI buttons at right, and then click "Start" to start the fuzzy clustering process.
標簽： clustering parameters displays FCMDEMO
上傳時間： 2014-01-23
上傳用戶：bjgaofei
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
This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL
標簽： This reversible annealing the
上傳時間： 2015-07-19
上傳用戶：ma1301115706
This a software runing on the matlab, it is used in the channel coding simulation. It include DVB-S2 LDPC, Covolution turbo, and block turbo code, You can choose which channel coding to run. it run the encoder and add white noise in the channel, then it run the decoder, and compute the error rate.
標簽： simulation the software channel
上傳時間： 2015-08-06
上傳用戶：
％ binomial.m by David Terr, Raytheon, 5-11-04, from mathworks.com ％ Given nonnegative integers n and m with m<=n, compute the ％ binomial coefficient n choose m.
標簽： nonnegative mathworks binomial Raytheon
上傳時間： 2015-08-27
上傳用戶：mhp0114
LCD and Keyboard ARMulator model for the ADS Source Code Copy the provided ARMulate folder into your ADS directory tree at the root, for example in c:\ADSv1_1. If prompted to overwrite files, choose Yes. The batch file copy_console.bat will place the appropriate files inside the \Bin directory so that they will be found by the ARMulator. You still need to follow the instructions under "Using the Model" to set up the configuration files.
標簽： ARMulator the Keyboard ARMulate
上傳時間： 2014-02-25
上傳用戶：woshini123456
in this paper,we show that an efficient multiscale wedgelet decomposition is possible if we carefully choose the set of possible wedgelet orientations.
標簽： decomposition multiscale efficient carefull
上傳時間： 2015-10-22
上傳用戶：qweqweqwe
