The following is a list of MATLAB codes which includes the radar absorbing material design, the antenna pattern, the observation points generation, and the amplitude error and phase error calculations.
標(biāo)簽： following absorbing the includes
上傳時(shí)間： 2014-01-04
上傳用戶：l254587896
This tutorial white-paper illustrates practical aspects of FIR filter design and fixed-point implementation along with the algorithms available in the Filter Design Toolbox and the Signal Processing Toolbox for this purpose.
標(biāo)簽： illustrates fixed-point white-paper practical
上傳時(shí)間： 2016-12-14
上傳用戶：15071087253
This function calculates Akaike s final prediction error ％ estimate of the average generalization error. ％ ％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the ％ final prediction error estimate (fpe), the effective number of ％ weights in the network if the network has been trained with ％ weight decay, an estimate of the noise variance, and the Gauss-Newton ％ Hessian. ％
標(biāo)簽： generalization calculates prediction function
上傳時(shí)間： 2014-12-03
上傳用戶：maizezhen
％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be trained. ％ ％ Given a set of corresponding input-output pairs and an initial ％ network, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the network with the Levenberg-Marquardt method. ％ ％ The activation functions can be either linear or tanh. The ％ network architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.
標(biāo)簽： Levenberg-Marquardt desired network neural
上傳時(shí)間： 2016-12-27
上傳用戶：jcljkh
This function calculates Akaike s final prediction error ％ estimate of the average generalization error for network ％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive ％ counterparts. ％ ％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat) ％ produces the final prediction error estimate (fpe), the effective number ％ of weights in the network if it has been trained with weight decay, ％ an estimate of the noise variance, and the Gauss-Newton Hessian. ％
標(biāo)簽： generalization calculates prediction function
上傳時(shí)間： 2016-12-27
上傳用戶：腳趾頭
It has been suggested1 that an appropriate figure of merit for a low probability of intercept and detection (LPI/D) waveform is the quantity “Range x Bandwidth / Joule”. That is, the further the range, the wider the bandwidth and the less amount of energy used to achieve these values, the more covert is the resultant communications system.
標(biāo)簽： appropriate probability suggested1 intercept
上傳時(shí)間： 2017-01-03
上傳用戶：kr770906
PDTDFB toolbox The filter bank is described in: The Shiftable Complex Directional Pyramid—Part I: Theoretical Aspects The Shiftable Complex Directional Pyramid—Part II: Implementation and Applications IEEE transaction on singnal processing, Oct. 2008 Other related papers and software are available at: nttruong.googlepages.com Acknowledgement: The code development is based on the matlab code of the contourlet toolbox and the steerable pyramid.
標(biāo)簽： Directional The Shiftable described
上傳時(shí)間： 2017-01-08
上傳用戶：924484786
CAN1.c and CAN2.c are a simple example of configuring a CAN network to transmit and receive data on a CAN network, and how to move information to and from CAN RAM message objects. Each C8051F040-TB CAN node is configured to send a message when it s P3.7 button is depressed/released, with a 0x11 to indicate the button is pushed, and 0x00 when released. Each node also has a message object configured to receive messages. The C8051 tests the received data and will turn on/off the target board s LED. When one target is loaded with CAN2.c and the other is loaded with CAN1.c, one target board s push-button will control the other target board s LED, establishing a simple control link via the CAN bus and can be observed directly on the target boards.
標(biāo)簽： CAN configuring and transmit
上傳時(shí)間： 2013-12-11
上傳用戶：weiwolkt
isual Chat 1.91 Developer Edition - Customize the Visual Chat code regarding your own requirements - Use customchatdev.html for developing / testing - Create .jar and .cab-files containing client-specific .class-files and the images-folder (use zip and cabarc compressing tools) - Adapt the customchat.html file - Upload all the files to your webserver - Start the ChatServer by invoking java at.ac.uni_linz.tk.vchat.ChatServer [port [server-key]] from your commandline - I kindly ask you to leave copyright and credit information in the InfoPanel.class as it is - but you are invited to add your own text. In case of violations I will consider excluding this class from the source in the future.
標(biāo)簽： Chat requirement Developer Customize
上傳時(shí)間： 2017-01-27
上傳用戶：iswlkje
This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
標(biāo)簽： processing ballistic the tracking
上傳時(shí)間： 2014-10-31
上傳用戶：yyyyyyyyyy
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