s3c2440 backlight driver.SAMSUNG s S3C2440A 16/32-bit RISC microprocessor. SAMSUNG鈥檚 S3C2440A is
designed to provide hand-held devices and general applications with low-power, and high-performance microcontroller
solution in small die size.
In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
The TW2835 has four high quality NTSC/PAL video decoders, dual color
display controllers and dual video encoders. The TW2835 contains four
built-in analog anti-aliasing filters, four 10bit Analog-to-Digital converters,
and proprietary digital gain/clamp controller, high quality Y/C separator to
reduce cross-noise and high performance free scaler. Four built-in motion,
This paper shows the development of a 1024-point
radix-4 FFT VHDL core for applications in hardware signal processing, targeting low-cost FPGA technologies. The developed core is targeted into a Xilinx廬 Spartan鈩?3 XC3S200 FPGA with the inclusion of a VGA display interface and an external 16-bit data acquisition system for performance evaluation purposes. Several tests were performed in order to verify FFT core functionality, besides the time performance analysis highlights the core advantages over commercially available DSPs and Pentium-based PCs. The core is compared with similar third party IP cores targeting resourceful FPGA technologies. The novelty of this work is to provide a lowcost, resource efficient core for spectrum analysis
applications.
The AT24C512 provides 524,288 bits of serial electrically erasable and programmable
read only memory (EEPROM) organized as 65,536 words of 8 bits each. The device鈥檚
cascadable feature allows up to four devices to share a common two-wire bus. The
device is optimized for use in many industrial and commercial applications where lowpower
and low-voltage operation are essential. The devices are available in spacesaving
8-pin PDIP, 8-lead EIAJ SOIC, 8-lead JEDEC SOIC, 8-lead TSSOP, 8-lead
Leadless Array (LAP), and 8-lead SAP packages. In addition, the entire family is available
in 2.7V (2.7V to 5.5V) and 1.8V (1.8V to 3.6V) versions.
R1EX24xxx series are two-wire serial interface EEPROM (Electrically Erasable and Programmable
ROM). They realize high speed, low power consumption and a high level of reliability by employing
advanced MNOS memory technology and CMOS process and low voltage circuitry technology. They
also have a 128-byte page programming function to make their write operation faster.
Note: Renesas Technology鈥檚 serial EEPROM are authorized for using consumer applications such as
cellular phone, camcorders, audio equipment. Therefore, please contact Renesas Technology鈥檚
sales office before using industrial applications such as automotive systems, embedded controllers,
and meters
This paper presents a novel technique to increase
the quality of medical images based on Histogram
Equalization. In the proposed method first we have
applied a noise reduction method and then we apply
some suitable preprocessing on histogram of the
medical images and after that histogram equalization
has been applied on the new histogram. Our proposed
method in despite of its simplicity has better results in
compare to other usual methods based on histogram
equalization. The quality of resulted images after
applying our proposed methods has been tested on a
database (medical images) with a confirmed criterion
by viewer. Also we have considered a mathematical
criterion for comparing our proposed algorithm with
other available methods for contrast enhancement.
Results show the better efficiency of the proposed
method.
Face Recognition Library
========================
Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for imaging optimization. Library works great even for a low resolution web cam image and requires the user to align to a mirror frame on screen. Complete Source Code with Video capture and feature extraction kit for Registered Users.
Please register here for only $299 with Source Code :
http://www.research-lab.com/facerecognitionorder.htm
(c) www.research-lab.com
This software allows users to see how a serial async com port can be used to comunicate with a sync device (SPI). In this case, the software reads a low cost digital temperature sensor IC.
