Data compression in verilog

  • What is the principle of data compression?

    The principle of data compression is that, it compresses data by removing redundancy from the original data in the source file.
    On the other hand, information theory tells us that the amount of information conveyed by an event relates to its probability of occurrence..

  • The principle of data compression is that, it compresses data by removing redundancy from the original data in the source file.
    On the other hand, information theory tells us that the amount of information conveyed by an event relates to its probability of occurrence.
  • There are two main types of coding used in data compression: entropy coding and dictionary coding.
    Entropy Coding: Entropy coding is based on the concept of entropy in information theory, which measures the average amount of information needed to represent data.
    Entropy coding assigns shorter codes to more frequ.
Depends on the type of data - video, audio or just textual data. Video and audio has standard encoding framework. Well compression is a non trivial problem 
One way to do this is to use a conversion tool, such as VHDL2Verilog or Verilator.Another way to convert VHDL to Verilog is to manually translate the code.

Does data compression apply to row-overflow and LOB data?

However, data compression is applied to IN-ROW data only and it does not compress ROW-OVERFLOW and LOB data.
Any large objects that do not fit into IN-ROW data pages remain uncompressed.

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How to verify if compression is working?

How to perform a test to verify if compression is working. 1.
Run the following command:

  1. (fsutil file createnew testfile
txt 2100000000) This creates a file called testfile.txt and around 2gb size, with content that consists of zeroes.
So this file will be highly compressible.
This is the minimum file size to get any compression information. 2.
,

What is page-level compression?

Page-level compression involves replacing repeating patterns that span multiple column values within a single page of data with shorter symbol strings.
As a page fills with data, page compression logic scans the page for repetitive data.
From this scan, a page-level compression dictionary is created.

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What is the compression ratio of Verilog hardware description language (HDL)?

The proposed architectures prepared in Verilog hardware description language (HDL).
The modules of Verilog HDL were simulated and synthesized using Xilinx ISE 14.7. the result showed that the compression ratio was 1.282 by using counter of 3-bit comparing to 1.0037 when the counter was of size of 8-bit .
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What is a lossless compression algorithm?

Many lossless compression algorithms have been applied to servers, workstations and other large data processing systems to achieve different goals

LZMA is a lossless compression algorithm invented by Igor Pavlov in 1998, and it is the default algorithm in 7zip

What is the compression ratio of Verilog hardware description language (HDL)?

The proposed architectures prepared in Verilog hardware description language (HDL)

The modules of Verilog HDL were simulated and synthesized using Xilinx ISE 14

7 the result showed that the compression ratio was 1

282 by using counter of 3-bit comparing to 1

0037 when the counter was of size of 8-bit

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What is the difference between data compression and uncompression?

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, an uncompression program returns the information to its original form


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