In addition to all the people who contributed to the first edition, we would like to thank the following individuals for their generous help in writing this edition. Very special thanks go to Jory Prather for verifying the code samples as well as fixing them for consistency. Thanks to Dave Thaler, Brian Zill, and Rich Draves for clarifying our IPv6 questions, Mohammad Alam and Rajesh Peddibhotla for help with reliable multicasting, and Jeff Venable for his contributions on the Network Location Awareness functionality. Thanks to Vadim Eydelman for his Winsock expertise. And finally we would like to thank the .NET Application Frameworks team (Lance Olson, Mauro Ottaviani, and Ron Alberda) for their help with our questions about .NET Sockets.
標簽： the contributed addition to
上傳時間： 2015-12-17
上傳用戶：dongqiangqiang
When I first studied Kalman filtering, I saw many advanced signal processing submissions here at the MATLAB Central File exchange, but I didn t see a heavily commented, basic Kalman filter present to allow someone new to Kalman filters to learn about creating them. So, a year later, I ve written a very simple, heavily commented discrete filter.
標簽： submissions processing filtering advanced
上傳時間： 2015-12-23
上傳用戶：變形金剛
New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below
標簽： optimization and document MATLAB
上傳時間： 2015-12-24
上傳用戶：佳期如夢
This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. We have tried to keep explanations elementary without sacrificing depth of coverage or mathematical rigor.
標簽： comprehensive introduction algorithms provides
上傳時間： 2014-11-23
上傳用戶：ynzfm
The purpose of this example is to demonstrate that the functioning of External interrupts (INT0, INT1, INT4, INT5 and INT6) and how toset them up. This directory contains the frameworks fw.c, the test program extr_intr.c and the external interrupt service routines isr.c. This was compiled using micro vision2.
標簽： demonstrate functioning interrupts External
上傳時間： 2014-02-04
上傳用戶：Altman
The Linux Enterprise Cluster explains how to take a number of inexpensive computers with limited resources, place them on a normal computer network, and install free software so that the computers act together like one powerful server. This makes it possible to build a very inexpensive and reliable business system for a small business or a large corporation. The book includes information on how to build a high-availability server pair using the Heartbeat package, how to use the Linux Virtual Server load balancing software, how to configure a reliable printing system in a Linux cluster environment, and how to build a job scheduling system in Linux with no single point of failure. The book also includes information on high availability techniques that can be used with or without a cluster, making it helpful for System Administrators even if they are not building a cluster. Anyone interested in deploying Linux in an environment where low cost computer reliability is important will find this book useful.
標簽： inexpensive Enterprise computers explains
上傳時間： 2014-11-29
上傳用戶：zhangliming420
This a collection of MATLAB functions for extended Kalman filtering, unscented Kalman filtering, particle filtering, and miscellaneous other things. These utilities are designed for reuse and I have found them very useful in many projects. The code has been vectorised for speed and is stable and fast.
標簽： filtering Kalman collection functions
上傳時間： 2013-12-23
上傳用戶：ljmwh2000
KeePass for J2ME is a J2ME port of KeePass Password Safe, a free, open source, light-weight and easy-to-use password manager. You can store passwords in a highly-encrypted database on a mobile phone, and view them on the go.
標簽： KeePass J2ME light-weight Password
上傳時間： 2016-01-25
上傳用戶：er1219
圖像處理，利用bilt 函數(shù) Description: This example shows how to edit (cut,paste,copy) a selection of a bitmap using BitBlt function just like Microsoft Photo Editor does. It s really EASY! Take a look to the sample if you don t believe me and don t forget to VOTE FOR ME! Note: comments are in italian...i hadn t enough time to translate them all. Sorry..(VOTE!)
標簽： 圖像處理
上傳時間： 2013-12-18
上傳用戶：851197153
Introduction Some times it is required that we build a shared library (DLL) from an m-file. M-files are functions that are written in Matlab editor and can be used from Matlab command prompt. In m-files, we employ Matlab built-in functions or toolbox functions to compute something. In my past articles, I showed you some ways to use Matlab engine (vis. API, C++ class or Matlab engine API) for employing Matlab built-in functions, but what about functions that we develop? How can we use them in VC? Is there any interface? This article shows you an idea to employ your own Matlab functions.
標簽： Introduction required M-files library
上傳時間： 2016-01-29
上傳用戶：zhoujunzhen
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