This companion disc contains the source code for the sample
programs presented in INSIDE VISUAL C++ 5.0, as well as pre-
compiled copies of the programs.
To copy all of the sample code onto your hard disk, run the
SETUP.EXE program and follow the instructions that appear on
the screen. The sample code requires about 10 MB of hard disk
space.
This companion disc contains the source code for the sample
programs presented in INSIDE VISUAL C++ 5.0, as well as pre-
compiled copies of the programs.
DSP/BIOS Driver Developer Kit 1.11
The DSP/BIOS Driver Developer Kit (DDK) provides a selection of pre-tested DSP/BIOS device drivers, and documentation on how to write a driver to the DSP/BIOS driver model, known as IOM. The DDK includes C source code for all drivers. The DDK 1.11 has been validated with CCS 3.1 and DSP/BIOS 5.20.
About:
hamsterdb is a database engine written in ANSI C. It supports a B+Tree index structure, uses memory mapped I/O (if available), supports cursors, and can create in-memory databases.
Release focus: Major feature enhancements
Changes:
This release comes with many changes and new features. It can manage multiple databases in one file. A new flag (HAM_LOCK_EXCLUSIVE) places an exclusive lock on the file. hamsterdb was ported to Windows CE, and the Solution file for Visual Studio 2005 now supports builds for x64. Several minor bugs were fixed, performance was improved, and small API changes occurred. Pre-built libraries for Windows (32-bit and 64-bit) are available for download.
Author:
cruppstahl
Hey. This some pid code for the atmega88 that I once used to control a heater. It s purpose
is pretty specific, and I only wrote it to work on the mega88, so the code itself won t be too useful. It is
a good place to start if you re trying to use or figure out pid though.
This code was used to produce simulation results described in:
Using Directional Antennas to Prevent Wormhole Attacks
Lingxuan Hu and David Evans. Network and Distributed System Security
Symposium, San Diego, 5-6 February 2004.
Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from
http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp
