import flash.display.Sprite import flash.display.Bitmap import flash.display.BitmapData import flash.filters.BlurFilter import flash.events.Event import flash.geom.Point import flash.events.MouseEvent import flash.display.SimpleButton import flash.display.Shape
標(biāo)簽： import display flash BitmapData
上傳時(shí)間： 2014-01-24
上傳用戶：凌云御清風(fēng)
本例展示了如何使用嵌套中斷向量控制器（Nested Vectored Interrupt Controller）來(lái)設(shè)置IRQ通道。 把3個(gè)計(jì)時(shí)器（TIM2，3，4）設(shè)置為在每一個(gè)計(jì)數(shù)器更新事項(xiàng)（counter update event）產(chǎn)生中斷。這三個(gè)計(jì)時(shí)器都與各自對(duì)應(yīng)的更新IRQ通道聯(lián)系起來(lái)，并設(shè)置他們的中斷優(yōu)先級(jí)，TIM2為0，TIM4為2。 在他們各自的中斷中：TIM2每1秒翻轉(zhuǎn)一次PC.06的狀態(tài)；TIM3每2秒翻轉(zhuǎn)一次PC.07的狀態(tài)；TIM4每3秒翻轉(zhuǎn)一次PC.08的狀態(tài)。 由于在STM3210B-LK1板上， 4個(gè)LED連接在PC.04 – PC.07，而不是STM3210B-EVAL上的PC.06 – PC.09，因此，程序要做相應(yīng)的改動(dòng)。
標(biāo)簽： Controller Interrupt Vectored Nested
上傳時(shí)間： 2013-12-18
上傳用戶：Zxcvbnm
FreeBREW is a collection of open source software for BREW. BREW Foundation Framework provides a multitasking-aware kernel which supports a layered, per-task and per-state event dispatching mechanism to enable robust, state-pattern programming in BREW
標(biāo)簽： BREW Foundation collection Framework
上傳時(shí)間： 2017-02-07
上傳用戶：上善若水
一個(gè)模擬沃爾瑪柜臺(tái)結(jié)賬的排隊(duì)論仿真，相當(dāng)于一個(gè)M/M/C系統(tǒng)，用event driven思路寫(xiě)成。
上傳時(shí)間： 2017-02-16
上傳用戶：啊颯颯大師的
Browser independent JavaScript SDK. ClassLoader to lazy load JavaScript classes, extensions to core JavaScript, Reflection API, Collection API, Unit Testing API, AJAX API, Logging API, and Custom/DOM Event API.
標(biāo)簽： JavaScript independent ClassLoader extensions
上傳時(shí)間： 2017-02-19
上傳用戶：skhlm
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
標(biāo)簽： documentation mathematical for filtering
上傳時(shí)間： 2014-01-20
上傳用戶：changeboy
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
標(biāo)簽： documentation mathematical for filtering
上傳時(shí)間： 2013-12-10
上傳用戶：zxc23456789
The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.
標(biāo)簽： estimating parameters functions defining
上傳時(shí)間： 2014-12-05
上傳用戶：天誠(chéng)24
非常好的swing的源代碼，能幫助你加深理解swing里面的event處理，多線程處理等方面的知識(shí)
上傳時(shí)間： 2013-12-21
上傳用戶：youke111
-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.
標(biāo)簽： present modalities existence different
上傳時(shí)間： 2014-03-04
上傳用戶：15736969615
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