As science advances, novel experiments are becoming more and more complex, requiring a zoo of control devices and electronics executing complicated sequences of steps. Device availability and monetary constrains usually lead to a highly heterogeneous setup with components from several different manufacturers using many different protocols and interfacing mechanisms. This often results in control software being puzzled together to use and provide a multitude of interfacing and control functionality, each using their own calling conventions, data structures, etc. To make matters worse, usually a group of relatively independent programmers is trying to write and maintain the code base. Often this causes extensive duplication of effort as program segments are hard to reuse, since unpredictable changes to the segments by the original authors might compromise other code using These segments.
標簽： more experiments requiring advances
上傳時間： 2013-12-24
上傳用戶：qilin
Atheros無線芯片AR-6000系列wince 6驅動源代碼(這東西我也沒用過別問我,我是搜別的wince資源搜到的) AR6K SDIO support. Requires firmware 1.1 on SD13 cards. readme: Atheros Communications AR6001 WLAN Driver for SDIO installation Read Me March 26,2007 (based on k14 fw1.1) Windows CE Embedded CE 6.0 driver installation. 1. Unzip the installation file onto your system (called installation directory below) 2. Create an OS design or open an existing OS design in Platform Builder 6.0. a. The OS must support the SD bus driver and have an SD Host Controller driver (add These from Catalog Items). b. Run image size should be set to allow greater than 32MB. 3. a. From the Project menu select Add Existing Subproject... b. select AR6K_DRV.pbxml c. select open This should create a subproject within your OS Design project for the AR6K_DRV driver. 4. Build the solution. 轉自Tony嵌入式,原文地址：http://www.cevx.com/bbs/dispbbs.asp?boardID=4&ID=11762&page=1
標簽： wince Requires firmware Atheros
上傳時間： 2014-11-11
上傳用戶：bibirnovis
The IA-32 Intel Architecture Software Developer’s Manual, Volume 2: Instruction Set Reference (Order Number 245471) is part of a three-volume set that describes the architecture and programming environment of all IA-32 Intel® Architecture processors. the IA-32 Intel Architecture Software Developer’s Manual, Volume 2, describes the instructions set of the processor and the opcode structure. These two volumes are aimed at application programmers who are writing programs to run under existing operating systems or executives.
標簽： Architecture Instruction Developer Reference
上傳時間： 2013-12-15
上傳用戶：xsnjzljj
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
標簽： filtering particle Blackwellised conditionall
上傳時間： 2014-12-05
上傳用戶：410805624
Microsoft .net IL 匯編語言程序設計指南. To tell the truth, I don t think I had much choice in this matter. Let me explain. With Microsoft .NET technology taking the world by storm, with more and more information professionals getting involved, large numbers of books covering various aspects of this technology have started to arrive—and none too soon. Alas, virtually all of These books are dedicated to .NET-based programming in high-level languages and rapid application development (RAD) environments. No doubt this is extremely important, and I am sure all These books will have to be reprinted to satisfy the demand. But what about the plumbing?
標簽： Microsoft choice matter truth
上傳時間： 2014-11-06
上傳用戶：二驅蚊器
移動ip書籍，很有用。 Third Generation (3G) mobile offers access to broadband multimedia services - and in the future most of These, even voice and video, will be IP-based. However 3G networks are not based on IP technologies, rather they are an evolution from existing 2G networks. Much work needs to be done to IP QoS and mobility protocols and architectures for them to be able to provide the functionality 3G requires.
上傳時間： 2013-12-16
上傳用戶：moerwang
Welcome to Beginning Algorithms, a step-by-step introduction to computing algorithms for the real world. Developers use algorithms and data structures every day of their working lives. Having a good understanding of These algorithms and knowledge of when to apply them is essential to producing software that not only works correctly, but also performs efficiently. This book aims to explain those algorithms and data structures most commonly encountered in day-today software development, while remaining at all times practical, concise, and to the point, with little or no verbiage to distract from the core concepts and examples.
標簽： step-by-step introduction Algorithms algorithms
上傳時間： 2016-05-08
上傳用戶：wlcaption
Kalman filter toolbox written by Kevin Murphy, 1998. See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details. Installation ------------ 1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html 3. Assuming you installed all These files in your matlab directory, In Matlab type addpath matlab/KPMtools addpath matlab/Kalman Demos ----- See tracking_demo.m for a demo of 2D tracking. See learning_demo.m for a demo of parameter estimation using EM. 較早版本的kalman濾波matlab源碼，適合研讀。
標簽： Software toolbox murphyk written
上傳時間： 2016-05-13
上傳用戶：541657925
pMatlab is a toolsbox from MIT for running matlab in parallel style on a multi-core PC or a cluster environment. These two documents summary the usage of pMatlab and running time measurements on three simple Monte Carlo simulation codes.
標簽： multi-core toolsbox parallel pMatlab
上傳時間： 2014-12-05
上傳用戶：zhliu007
Sequential Monte Carlo without Likelihoods 粒子濾波不用似然函數的情況下 本文摘要:Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions in the presence of analytically or computationally intractable likelihood functions. Despite representing a substantial methodological advance, existing methods based on rejection sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly require far more iterations than may be practical to implement. Here we propose a sequential Monte Carlo sampler that convincingly overcomes These inefficiencies. We demonstrate its implementation through an epidemiological study of the transmission rate of tuberculosis.
標簽： Likelihoods Sequential Bayesian without
上傳時間： 2016-05-26
上傳用戶：離殤
