Decoding most of the infrared signals can be easily
handled by PIC16C5X microcontrollers. This application
note describes how this decoding may be done.
The only mandatory hardware for decoding IR signals
is an infrared receiver. The use of two types is
described here. Both are modular types used often by
the consumer electronics industry. The first type
responds to infrared signals modulated at about
40 kHz. The second responds to non-modulated infrared
pulses and has a restricted range. The hardware
costs of each approach will be less than two dollars.
Micro In-System Programmer Brief Installation Notes
Enter the src directory.
If uisp does not compile successfully, add switch -DNO_DIRECT_IO in the
Makefile to remove support for direct I/O port access (that may be
necessary on non-PC architectures). Parallel port access should still
work if you have the Linux ppdev driver (patch for 2.2.17 is in the
kernel directory, ppdev is standard in 2.4 kernels). Please lobby
Alan Cox to include this tiny little driver in 2.2.x too :).
To make it type:
make
and to install it:
make install
If you have any further doubts, please consult UISP s homepage:
http://www.nongnu.org/uisp/
this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.
Easy to use SMS/MMS Messaging Gateway to develop Content Delivery Platforms by GSM Operators,Content Providers and even non-telecom guys. Uses file system for data flow.Written for .NET 2.0 in C#
Math.NET開源數學庫
C#實現
具體功能:
- A linear algebra package, see MathNet.Numerics.LinearAlgebra.
- A sparse linear algebra package, see MathNet.Numerics.LinearAlgebra.Sparse.
- Non-uniform random generators, see MathNet.Numerics.Generators.
- Distribution fonctions, see MathNet.Numerics.Distributions.
- Statistical accumulator, see MathNet.Numerics.Statistics.
- Fourier transformations, see MathNet.Numerics.Transformations.
- Miscellaneous utilies (polynomials, rationals, collections).
This book is intended for "hands-on" developers or advanced students interested in understanding the strategies and tactics of concurrent network programming using C++ and object-oriented design. We describe the key design dimensions, patterns, and principles needed to develop flexible and efficient concurrent networked applications quickly and easily. Our numerous C++ code examples reinforce the design concepts and illustrate concretely how to use the core classes in ACE right away. We also take you "behind the scenes" to understand how and why the IPC and concurrency mechanisms in the ACE toolkit are designed the way they are. This material will help to enhance your design skills and to apply C++ and patterns more effectively in your own object-oriented networked applications.
OpenCV means Intel® Open Source Computer Vision Library. It is a collection of C functions and a few C++ classes that implement some popular Image Processing and Computer Vision algorithms.
OpenCV has cross-platform middle-to-high level API that consists of a few hundreds (>300) C functions. It does not rely on external libraries, though it can use some when it is possible.
OpenCV is free for both non-commercial and commercial use (see the license for details).
OpenCV provides transparent interface to Intel® Integrated Performance Primitives (IPP). That is, it loads automatically IPP libraries optimized for specific processor at runtime, if they are available. More information about IPP can be retrieved at http://www.intel.com/software/products/ipp/index.htm
--------------------------------------------------------------------------------
本文是opencv的入門教程
Listed below are the typographical conventions used in this guide.
– Example C++ code and commands to be typed by the user are in non-bold characters in typewriter
font.
– Items where the user has to supply a name or number are given in lower-case italic characters in
typewriter font.
– Sections marked with a ‡ describe features that are also available in ANSI C.
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