Low-Power Processor-Level Data Transfer and Storage Exploration

2000 ◽  
pp. 25-63
Author(s):  
Erik Brockmeyer ◽  
Cedric Ghez ◽  
Wim Baetens ◽  
Francky Catthoor
Keyword(s):  
Low Power ◽  
Data Transfer ◽  
Level Data ◽  
And Storage

Low-power data transfer and storage exploration for H.263 video decoder system

1998 ◽  
Vol 16 (1) ◽  
pp. 120-129 ◽  
Author(s):  
L. Nachtergaele ◽  
F. Catthoor ◽  
B. Kapoor ◽  
S. Janssens ◽  
D. Moolenaar
Keyword(s):  
Low Power ◽  
Data Transfer ◽  
Video Decoder ◽  
And Storage

Design and Implementation of a Multi-Channel HDLC Protocol Controller Based on FPGA

2011 ◽  
Vol 383-390 ◽  
pp. 6840-6845 ◽  
Author(s):  
Yong Hong Gu ◽  
Wei Huang ◽  
Qiao Li Yang
Keyword(s):  
Error Control ◽  
Data Transfer ◽  
Full Duplex ◽  
Programmable Logic ◽  
Data Link ◽  
Total Cost ◽  
Half Duplex ◽  
Level Data ◽  
Layer 2 ◽  
High Level

To transmit and receive data over any network successfully, a protocol is required to manage the flow. High-level Data Link Control (HDLC) protocol is defined in Layer 2 of OSI model and is one of the most commonly used Layer 2 protocol. HDLC supports both full-duplex and half-duplex data transfer. In addition, it offers error control and flow control. Currently on the market there are many dedicated HDLC chips, but these chips are neither of control complexity nor of limited number of channels. This paper presents a new method for implementing a multi-channel HDLC protocol controller using Altera FPGA and VHDL as the target technology. Implementing a multi-channel HDLC protocol controller in FPGA offers the flexibility, upgradability and customization benefits of programmable logic and also reduces the total cost of every project which involves HDLC protocol controllers.

scholarly journals GIF IMAGE HARDWARE COMPRESSORS

2021 ◽  
Author(s):  
Ivan Mozghovyi ◽  
Anatoliy Sergiyenko ◽  
Roman Yershov
Keyword(s):  
Data Compression ◽  
Data Storage ◽  
High Speed ◽  
Data Transfer ◽  
Future Research ◽  
Volume Data ◽  
High Speed Data ◽  
Lzw Algorithm ◽  
And Storage ◽  
Speed Data Transmission

Increasing requirements for data transfer and storage is one of the crucial questions now. There are several ways of high-speed data transmission, but they meet limited requirements applied to their narrowly focused specific target. The data compression approach gives the solution to the problems of high-speed transfer and low-volume data storage. This paper is devoted to the compression of GIF images, using a modified LZW algorithm with a tree-based dictionary. It has led to a decrease in lookup time and an increase in the speed of data compression, and in turn, allows developing the method of constructing a hardware compression accelerator during the future research.

TECHNICAL SOLUTIONS FOR INDIVIDUAL TELE-MONITORING OF THE FUNCTIONAL STATE OF ORGANISM

2021 ◽  
Vol 55 (2) ◽  
pp. 84-89
Author(s):  
D.V. Shutov ◽  
◽  
K.M. Arzamasov ◽  
D.V. Drozdov ◽  
A.E. Demkina ◽  
...  
Keyword(s):  
Data Transfer ◽  
Data Sets ◽  
Data Handling ◽  
Access Protocols ◽  
Processing And Storage ◽  
Technical Solutions ◽  
Authorized Access ◽  
And Storage ◽  
Monitoring Devices ◽  
Tele Monitoring

We performed analysis of the available Russian home-use health monitoring devices that can be connected to a smartphone or pad for data transfer. Specifically, we sought for the gadgets capable to register heart rate, blood pressure, ECG, blood glucose, and respiration rate. There are three options of data processing and storage. Namely, these are storage in and authorized access to the manufacturer's site with minimal opportunity of data handling and interpretation; an autonomous server to hold and handle big data sets and, finally, access protocols and templates enabling gadget integration with external services.

scholarly journals Code transformations for data transfer and storage exploration preprocessing in multimedia processors

2001 ◽  
Vol 18 (3) ◽  
pp. 70-82 ◽  
Author(s):  
F. Catthoor ◽  
K. Danckaert ◽  
S. Wuytack ◽  
N.D. Dutt
Keyword(s):  
Data Transfer ◽  
Code Transformations ◽  
And Storage ◽  
Multimedia Processors
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