The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for the coding (compression) of natural video images. The new standard [1] will be known as H.264 and also MPEG-4 Part 10, “Advanced Video Coding”. The standard specifies two types of entropy coding: Context-based ADaptive Binary Arithmetic Coding (CABAC) and Variable-Length Coding (VLC). The Variable-Length Coding scheme, part of the Baseline Profile of H.264, is described in this document.
標簽： finalising standard Joint ITU-T
上傳時間： 2013-12-21
上傳用戶：yuzsu
Handles Hexahedral, Tetrahedral, Quadrilateral, and Triangle meshes. Lagrangian, Hierarchic, and Monomial finite elements. Interface to PETSc solvers, ADaptive mesh refinement, and extreme portablility.
標簽： Quadrilateral Tetrahedral Hexahedral Lagrangian
上傳時間： 2013-12-03
上傳用戶：咔樂塢
Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the ADaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.
標簽： synchronization Carrier-phase multiplicativ approached
上傳時間： 2013-11-28
上傳用戶：windwolf2000
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. ADaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
幾篇最經典的運動搜索算法的IEEE論文：A1. Enhanced Hexagonal Search for Fast Block Motion Estimation；A2. Hexagon-based search pattern for fast block motion estimation；A3. Predictive Motion Vector Field ADaptive Search Technique (PMVFAST)等
標簽： Hexagon-based Estimation Hexagonal Enhanced
上傳時間： 2013-12-24
上傳用戶：小碼農lz
我用matlab寫的一個corner detector, 效果比現在流行的harris，susan，CSS等效果要好。 Algorithm is derived from: X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with ADaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004. Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical Engineering.
標簽： detector matlab corner harris
上傳時間： 2013-12-30
上傳用戶：569342831
Swarm intelligence algorithms are based on natural behaviors. Particle swarm optimization (PSO) is a stochastic search and optimization tool. Changes in the PSO parameters, namely the inertia weight and the cognitive and social acceleration constants, affect the performance of the search process. This paper presents a novel method to dynamically change the values of these parameters during the search. ADaptive critic design (ACD) has been applied for dynamically changing the values of the PSO parameters.
標簽： intelligence optimization algorithms behaviors
上傳時間： 2014-01-08
上傳用戶：lgnf
Expert PID Controller，Fuzzy Tunning PID Control，ingle Neural ADaptive PID Controller
標簽： Controller Expert PID
上傳時間： 2016-04-17
上傳用戶：gaojiao1999
Sensing in autonomous vehicles is a growing field due to a wide array of military and reconnaissance applications. The ADaptive Communications and Signals Processing Group (ACSP) research group at Cornell specializes in studying various aspects of autonomous vehicle control. Previously, ACSP has examined video sensing for autonomous control. Our goal is to build on their previous research to incorporate audio source tracking for autonomous control.
標簽： reconnaissance autonomous vehicles military
上傳時間： 2016-06-29
上傳用戶：chens000
關于 ZFC 框架的自述文件 2003.6.18 ====================================================================== 如何在PowerBuilder 開發環境中運行ZFC 框架。 1、文件 app.pbl 常用應用庫； controls.pbl zfc 控件庫； main.pbl 主要對象庫； demo.pbl 演示程序庫； 2、目錄 DB 演示數據庫； PSR 演示PB報表； 3、基于 ZFC 框架編寫程序需要哪些文件和表： 引用main.pbl、controls.pbl、app.pbl 三個庫 演示數據庫中的Employee，EmployeeToFunction，Function，Profile 四個表； 演示數據庫中的usp_DateGet，usp_EmployeeGet，usp_FunctionGet，usp_ProfileGet，usp_ProfileSet 五個存儲過程； 如果您使用其他數據庫，請移植表和存儲過程。 4、PowerBuilder 9.0，ADaptive Server Anywhere 7 必須；
上傳時間： 2016-08-13
上傳用戶：003030
