Publication: Development of exponential golomb coding compression and decompression algorithms in digital signal processing (dsp)
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Date
2009-04-01
Authors
Wahed, Syamsinar
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Abstract
Efficient data transmission is very important in communication industry. The most important element in data transmission is storage. The more information being dealt with, the more storage is needed. Most digital data that are being transmitted are stored in the easiest form, such as: ASCII text from word processors, binary code that can be executed on a computer and individual samples from a data acquisition system. Data compression is the general term for the various algorithms and programs developed to address this problem. A compression program is used to convert data from an easy to use format to one optimized for compactness. Likewise, decompression program returns the information into its original form. This report is regarding the compression and decompression techniques called Exponential Golomb Coding on Digital Signal Processing (DSP). Firstly, the project will develop the algorithm on a PC using C language and then implement the algorithm on DSP using C6416 board. The algorithm develop on PC and DSP is being tested with various data string and the result will be compared and analyzed whether there is any different between this two types of implementation. A higher compression size is obtained if the data have less similarities and having a lot of string of ‘1’s that causes the compressed data to be even larger than the original data itself.