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
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.
CForms, by Lars Berntzon (Stockholm, Sweden), is a tool for building interactive forms-driven applications. CForms applications can run on nany type of library supported by the "curses" library. CForms uses a language-based design to define forms. An application may contain C source modules, field pictures, field definitions, literals, and events. CForms applications must be compiled with the CFC compiler and linked with the CFL linker.CForms runs on most Unix SYSV compatible platforms including SunOS, Dell-SVR4, and Diab SYSV.3. It requires a curses library and yacc or GNU Bison. CForms version 2.1 is now available as volume #402 in the CUG Library.
ET++ is a portable and homogenous object-oriented class library integrating user
interface building blocks, basic data structures, and high level application framework
components. ET++ eases the building of highly interactive applications with consistent
user interfaces following the direct manipulation principle. The ET++ class library is
implemented in C++ and can be used on several operating systems and window system
platforms. Since its initial conception the class library has been continuously
redesigned and improved. It started with an architecture which was close to MacApp.
During several iterations a new and unique architecture evolved. A byproduct of the
ET++ project is a set of tools, which were designed to support the exploration of ET++
applications at run-time.
設計模式一書引用的主要參考例程，一個跨平臺的應用框架，基于C++實現，是學習面向對象的經典源碼.
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.
％％％ Demos for PUMA algorithms ％％％
We present four matlab demos for PUMA. demo1, demo2, demo3, and demo4
illustrate PUMA working with different parameters and with four
different images.
All you need to do is to run each of the demos. Please be sure that
all the files are put on an accessible path for matlab.
Notice that this code is intended for research purposes only.
For further reference see "Phase Unwrapping via Graph Cuts,
IEEE Transactions on Image Processing, 2007
aiNet application is a very powerful and a very simple tool for solving the problems which are usually solved with artificial neural networks (ANN). All possible tests we had run proved that the results obtained with aiNet are at least as good as the results obtained with some other ANNs. Let us state some of aiNet抯 features.
(c) aiNet 1995-1997
FreeTTS is a speech synthesis system written entirely in the Java
programming language. It is based upon Flite, a small, fast, run-time speech
synthesis engine, which in turn is based upon University of Edinburgh s
Festival Speech Synthesis System and Carnegie Mellon University s
FestVox project.
