基于支持向量聚類的多聚焦圖像融合算法∗ Exploiting SVC Algorithm for Multifocus Image Fusion
標(biāo)簽： Exploiting Multifocus Algorithm Fusion
上傳時(shí)間： 2013-12-08
上傳用戶：xlcky
TI DSp Exploiting parallesim in software usin loop unrolling Document
標(biāo)簽： Exploiting parallesim unrolling Document
上傳時(shí)間： 2017-03-06
上傳用戶：busterman
W32.Blaster.Worm is a worm that propagates by Exploiting the Microsoft Windows DCOM RPC Interface Buffer Overrun Vulnerability (BID 8205). http://www.symantec.com/security_response/writeup.jsp?docid=2003-081113-0229-99&tabid=2
標(biāo)簽： Exploiting propagates Microsoft Interface
上傳時(shí)間： 2013-12-18
上傳用戶：zhuyibin
MS Access is commonly thought of as the little brother of Database engines, and not a lot of material has been published about methods used for Exploiting it during a penetration test. The aim of this paper is to bring a lot of disparate information together into one guide.
標(biāo)簽： Database commonly of brother
上傳時(shí)間： 2014-01-04
上傳用戶：dreamboy36
15篇光流配準(zhǔn)經(jīng)典文獻(xiàn)，目錄如下： 1、A Local Approach for Robust Optical Flow Estimation under Varying 2、A New Method for Computing Optical Flow 3、Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms 4、all about direct methods 5、An Introduction to OpenCV and Optical Flow 6、Bayesian Real-time Optical Flow 7、Color Optical Flow 8、Computation of Smooth Optical Flow in a Feedback Connected Analog Network 9、Computing optical flow with physical models of brightness Variation 10、Dense estimation and object-based segmentation of the optical flow with robust techniques 11、Example Goal Standard methods Our solution Optical flow under 12、Exploiting Discontinuities in Optical Flow 13、Optical flow for Validating Medical Image Registration 14、Tutorial Computing 2D and 3D Optical Flow.pdf 15、The computation of optical flow
標(biāo)簽： 光流
上傳時(shí)間： 2014-11-21
上傳用戶：fanboynet
壓縮包中有5篇論文，分別為《Data-driven analysis of variables and dependencies in continuous optimization problems and EDAs》這是一篇博士論文，較為詳細(xì)的介紹了各種EDA算法；《Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm》《Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive》《Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering》《Supplementary material for Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive》《基于一般二階混合矩的高斯分布估計(jì)算法》介紹了一些基于EDA的創(chuàng)新算法。
標(biāo)簽： EDA 分布估計(jì)算法 論文
上傳時(shí)間： 2020-05-25
上傳用戶：duwenhao
In this paper, we consider the channel estimation problem in Millimeter wave (mmWave) wireless systems with large antenna arrays. By Exploiting the inherent sparse nature of the mmWave channel, we develop a novel rate-adaptive channel estimation (RACE) algorithm, which can adaptively adjust the number of required channel measurements based on an expected probability of estimation error (PEE).
標(biāo)簽： Estimation Millimeter Adaptive Approach Channel Systems Rate MIMO Wave for
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
Visible light communications (VLC) is the name given to an optical wireless communication system that carries information by modulating light in the visible spectrum (400–700 nm) that is principally used for illumination [1–3]. The communications signal is encoded on top of the illumination light. Interest in VLC has grown rapidly with the growth of high power light emitting diodes (LEDs) in the visible spectrum. The motivation to use the illumination light for communication is to save energy by Exploiting the illumination to carry information and, at the same time, to use technology that is “green” in comparison to radio frequency (RF) technology, while using the existing infrastructure of the lighting system.
標(biāo)簽： Communication Visible Light
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
The explosion in demand for wireless services experienced over the past 20 years has put significant pressure on system designers to increase the capacity of the systems being deployed. While the spectral resource is very scarce and practically exhausted, the biggest possibilities are predicted to be in the areas of spectral reuse by unlicensed users or in Exploiting the spatial dimension of the wireless channels. The former approach is now under intense development and is known as the cogni- tive radio approach (Haykin 2005).
標(biāo)簽： Multi-Antenna Wireless Channels Modeling
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
蟲蟲下載站版權(quán)所有 京ICP備2021023401號(hào)-1
