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
This temp directory is used by the JVM for temporary file storage. The JVM is configured to use this as its java.io.tmpdir in the catalina.sh and catalina.bat scripts.
標簽： configured JVM directory temporary
上傳時間： 2016-04-15
上傳用戶：363186
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 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
learn to use eclipse by example
上傳時間： 2014-01-03
上傳用戶：baitouyu
This example describes how to use the ADC and DMA to transfer continuously converted data from ADC to a data buffer. The ADC is configured to converts continuously ADC channel14. Each time an end of conversion occurs the DMA transfers, in circular mode, the converted data from ADC1 DR register to the ADC_ConvertedValue variable. The ADC1 clock is set to 14 MHz.
標簽： continuously ADC describes converted
上傳時間： 2014-01-03
上傳用戶：徐孺
This example shows how to use CortexM3 Bit-Band access to perform atomic read-modify-write and read operations on a varaible in SRAM.
標簽： read-modify-write CortexM3 Bit-Band example
上傳時間： 2013-12-23
上傳用戶：1427796291
