The MEASURE program uses the analog inputs of the P89LPC935 to implement a datalogger. This example shows how you can use signal functions in uVision to simulate a signal coming into one of the analog inputs of the P89LPC935 controller.
標(biāo)簽： datalogger implement the MEASURE
上傳時(shí)間： 2016-12-03
上傳用戶：songrui
Quaternions are hypercomplex numbers (that is generalizations of the complex numbers to higher dimensions than two). For an introduction, refer to the Wikipedia article on Quaternions. Quaternion toolbox for Matlab® extends Matlab® to allow calculation with matrices of quaternions in almost the same way that one calculates with matrices of complex numbers. This is achieved by defining a private type to represent quaternion matrices and overloadings of many standard Matlab® functions. The toolbox supports real and complex quaternions (that is quaternions with four real or complex components).
標(biāo)簽： numbers generalizations hypercomplex Quaternions
上傳時(shí)間： 2014-11-27
上傳用戶：jhksyghr
DDR SDRAM控制器的VHDL源代碼，含詳細(xì)設(shè)計(jì)文檔。 The DDR, DCM, and SelectI/O™ features in the Virtex™ -II architecture make it the perfect choice for implementing a controller of a Double Data Rate (DDR) SDRAM. The Digital Clock Manager (DCM) provides the required Delay Locked Loop (DLL), Digital Phase Shift (DPS), and Digital Frequency Synthesis (DFS) functions. This application note describes a controller design for a 16-bit DDR SDRAM. The application note and reference design are enhanced versions of XAPP200 targeted to the Virtex-II series of FPGAs. At a clock rate of 133 MHz, 16-bit data changes at both clock edges. The reference design is fully synthesizable and achieves 133 MHz performance with automatic place and route tools.
上傳時(shí)間： 2014-11-01
上傳用戶：l254587896
neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easily defined. An entire multi-layer network can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.
標(biāo)簽： Programmer Networks entirely network
上傳時(shí)間： 2013-12-24
上傳用戶：liuchee
Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs and an initial network ％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the ％ network with backpropagation. ％ ％ The activation functions must be either linear or tanh. The network ％ architecture is defined by the matrix NetDef consisting of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer. ％
標(biāo)簽： back-propagation corresponding input-output algorithm
上傳時(shí)間： 2016-12-27
上傳用戶：exxxds
Produces a matrix of derivatives of network output w.r.t. ％ each network weight for use in the functions NNPRUNE and NNFPE.
標(biāo)簽： network w.r.t. derivatives Produces
上傳時(shí)間： 2013-12-18
上傳用戶：sunjet
％ 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
Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully ％ connected) networks can be trained. ％ ％ The activation functions can either be linear or tanh. The network ％ architecture is defined by the matrix NetDef , which has of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer.
標(biāo)簽： recursive prediction algorithm Gauss-Ne
上傳時(shí)間： 2016-12-27
上傳用戶：ljt101007
The ZZIPlib provides read access on ZIP-archives. The library uses only the patent-free compression-algorithms supported by Zlib. It provides functions that transparently access files being either real files or zipped files, both with the same filepath
標(biāo)簽： ZIP-archives compression patent-free The
上傳時(shí)間： 2017-01-02
上傳用戶：yuzsu
ucos2 is a file system for embedded applications which can be used on any media, for which you can provide basic hardware access functions. µ C/FS is a high performance library that has been optimized for minimum memory consumption in RAM and ROM, high speed and versatility. It is written in ANSI C and can be used on any CPU.
標(biāo)簽： which applications can for
上傳時(shí)間： 2017-01-04
上傳用戶：偷心的海盜
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