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.
This a GA implementation using binary and real coded variables. Mixed variables can be used. Constraints can also be handled. All constraints must be greater-than-equal-to type (g >= 0) and normalized (see the sample problem in prob1 in objective()).
This code implements the basic functions for an I2C slave device using the SSP module. All I2C functions are handled in an ISR. Bytes written to the slave are stored in a buffer. After a number of bytes have been written, the master device can then read the bytes back from the buffer.
JILRuntime A general purpose, register based virtual machine (VM) that supports object-oriented features, reference counting (auto destruction of data as soon as it is no longer used, no garbage collection), exceptions (handled in C/C++ or virtual machine code) and other debugging features. Objects and functions can be written in virtual machine code, as well as in C or C++, or any other language that can interface to C object code. The VM is written for maximum performance and thus is probably not suitable for embedded systems where a small memory footprint is required. Possible uses of the VM are in game development, scientific research, or to provide a stand-alone, general purpose programming environment.
ARM下 Implement matrix multiplication of 2 square matrices, with data read from an input file and printed both to the console and to an output file.
• Assume a file with correct data (no garbage, characters, etc.).
• you must check and provide appropriate execution for 2 extra cases, namely when the matrix size given is either “0” , or when the size is greater than the maximum handled of “5” . In these 2 cases you must implement the following behaviour:
o If size = 0, then print a message “Size = 0 is unacceptable” and continue by reading the
next size for the next 2 matrices (if not end of file).
o If size >5, then print two messages: “Size is too big - unacceptable”. Then read and
discard the next (size2 ) integers and continue by reading the next size for the next 2 matrices (if not end of file).
This PNG Delphi version 1.56 documentation (this version is a major rewrite intended to replace the previous version, 1.2).
Improvements in this new version includes:
This new version allows the programmer to not use Delphi heavy units which will greatly reduce the size of the final executable.
Read more about this feature here.
Most, if not all, Portable Network Graphics features as CRC checking are now fully performed.
Error on broken images are now better handled using new exception classes.
The images may be saved using interlaced mode also.
Transparency information won t be discarted after the image is loaded any more.
Most of the images are decoded much faster now.
The images will be better encoded using fresh new algorithms.
IMPORTANT! Now transparency information is used to display images.
A general technique for the recovery of signi cant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (including robust clustering) are
avoided. Feature space of any nature can be processed,
and as an example, color image segmentation is dis-
cussed. The segmentation is completely autonomous,
only its class is chosen by the user. Thus, the same
program can produce a high quality edge image, or pro-
vide, by extracting all the signi cant colors, a prepro-
cessor for content-based query systems. A 512 512
color image is analyzed in less than 10 seconds on a
standard workstation. Gray level images are handled
as color images having only the lightness coordinate
High volume USB 2.0 devices will be designed using ASIC technology with embedded USB 2.0 support.
For full-speed USB devices the operating frequency was low enough to allow data recovery to be handled
in a vendors VHDL code, with the ASIC vendor providing only a simple level translator to meet the USB
signaling requirements. Today s gate arrays operate comfortably between 30 and 60 MHz. With USB 2.0
signaling running at hundreds of MHz, the existing design methodology must change.
High volume USB 2.0 devices will be designed using ASIC technology with embedded USB 2.0 support.
For full-speed USB devices the operating frequency was low enough to allow data recovery to be handled
in a vendors VHDL code, with the ASIC vendor providing only a simple level translator to meet the USB
signaling requirements. Today s gate arrays operate comfortably between 30 and 60 MHz. With USB 2.0
signaling running at hundreds of MHz, the existing design methodology must change.
