// -*- Mode: Verilog -*- // Filename : wb_master.v // Description : Wishbone Master Behavorial // Author : Winefred Washington // Created On : 2002 12 24 // Last Modified By: . // Last Modified On: . // Update Count : 0 // Status : Unknown, Use with caution! // Description Specification // General Description: 8, 16, 32-bit WISHBONE Master // Supported cycles: MASTER, READ/WRITE // MASTER, BLOCK READ/WRITE // MASTER, RMW // Data port, size: 8, 16, 32-bit // Data port, granularity 8-bit // Data port, Max. operand size 32-bit // Data transfer ordering: little endian // Data transfer sequencing: undefined
标签： Description Behavorial wb_master Filename
上传时间： 2014-07-11
上传用户：zhanditian
Multi-label classification 和weka集成
标签： classification Multi-label weka 集成
上传时间： 2013-12-13
上传用户：bibirnovis
SPI Master Core Specification，This document provides specifications for the SPI (Serial Peripheral Interface) Master core
标签： Specification Master Core SPI
上传时间： 2016-10-27
上传用户：lacsx
Multicast Algorithms for Multi-Channel Wireless Mesh Networks
标签： Multi-Channel Algorithms Multicast Wireless
上传时间： 2014-01-12
上传用户：as275944189
profibus Master Slave PROGRAMS profibus Master Slave PROGRAMS
标签： profibus PROGRAMS Master Slave
上传时间： 2016-11-05
上传用户：ywqaxiwang
RBFMIP is a package for training multi-instance RBF neural networks
标签： multi-instance networks training package
上传时间： 2014-01-23
上传用户：refent
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
标签： package multi-label includes networks
上传时间： 2013-12-05
上传用户：xsnjzljj
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation
标签： multi-instance multi-insta adapting learning
上传时间： 2014-01-14
上传用户：manlian
This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
标签： i.e. re-implementations multi-instance different
上传时间： 2013-12-19
上传用户：haohaoxuexi
MICROCHIP 實現I2C的 Master 端 (Firmware) 及 Slave 端 (Hardware) 相對應的程式範例
标签： MICROCHIP Firmware Hardware Master
上传时间： 2014-01-08
上传用户：yimoney
