How to control the AD9833 using AVR
上傳時間： 2014-01-20
上傳用戶：奇奇奔奔
How to use the TWI bus with a AVR cpu
上傳時間： 2016-04-13
上傳用戶：songnanhua
How to use the TWI bus with a AVR cpu
上傳時間： 2016-04-13
上傳用戶：lingzhichao
How to use the USART port of a AVR mcu
上傳時間： 2013-12-26
上傳用戶：181992417
// // Histogram Sample // This sample shows how to use the Sample Grabber filter for video image processing. // Conceptual background: // A histogram is just a frequency count of every pixel value in the image. // There are various well-known mathematical operations that you can perform on an image // using histograms, to enhance the image, etc. // Histogram stretch (aka automatic gain control): // Stretches the image histogram to fill the entire range of values. This is a "point operation," // meaning each pixel is scaled to a new value, without examining the neighboring pixels. The // histogram stretch does not actually require you to calculate the full histogram. The scaling factor // is calculated from the minimum and maximum values in the image.
標簽： Sample Histogram Grabber sample
上傳時間： 2013-12-15
上傳用戶：ryb
In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
標簽： Rao-Blackwellised conditional filtering particle
上傳時間： 2013-12-14
上傳用戶：小儒尼尼奧
This will give you some tips on how to build a gui using matlab, PDF file
上傳時間： 2013-12-20
上傳用戶：wuyuying
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標簽： sequential reversible algorithm nstrates
上傳時間： 2014-01-18
上傳用戶：康郎
The BeeStack Application Development Guide describes how to develop an application for BeeStack, including discussions on major considerations for commercial applications. This document is intended for software developers who write applications for BeeStack-based products using Freescale development tools. It is assumed the reader is a programmer with at least rudimentary skills in the C programming language and that the reader is already familiar with the edit/compile/debug process.
標簽： BeeStack Application Development application
上傳時間： 2016-04-17
上傳用戶：lijianyu172
CRM源碼This file describes some issues that should be implemented in future and how it should be implemented. Note: it should be implemented exactly how it described below, because another parts of system can rely on it.
標簽： should implemented describes issues
上傳時間： 2016-04-18
上傳用戶：lixinxiang
