Two-Stage Lossless Compression for Speed-Ratio Tradeoffs
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Solution Overview
Problem
Current data compression and decompression methods often face trade-offs between compression ratio, speed, complexity, and resource usage, with limitations in achieving optimal performance across these factors, particularly as data sizes increase.
Innovation Solution
A two-stage lossless data compression and decompression approach is implemented, where the first stage uses a faster, lower compression ratio algorithm and the second stage uses a slower, higher compression ratio algorithm, allowing for concurrent processing and shared resources to optimize overall compression speed and ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a single high compression ratio algorithm is used, then the compression ratio is improved, but the compression time and complexity increase
Solution Approach 1:
The compression process is divided into two independent stages: a first compression stage using a first compression algorithm, and a second compression stage using a second compression algorithm with different characteristics. This segmentation allows each stage to operate optimally within its own parameters, achieving high overall compression ratio without the time penalty of a single complex algorithm.
Solution Approach 2:
The first compression stage performs preliminary compression on the input data before it enters the second compression stage. This preliminary action reduces the data size and complexity for the second stage, enabling the second stage to achieve higher compression ratios more efficiently than if it had to process the original uncompressed data.
2Productivity
If a fast compression algorithm is used, then the compression speed is improved, but the compression ratio decreases
Solution Approach 1:
The compression system is segmented into two stages with different speed-ratio characteristics. The first stage uses a faster algorithm for initial compression, while the second stage uses a slower but more efficient algorithm for final compression. This segmentation allows the system to achieve both speed and high compression ratio, as the fast first stage quickly reduces data size and the slow second stage achieves maximum compression on the already-reduced data.
Solution Approach 2:
The first compression stage performs preliminary compression using a fast algorithm, preparing the data for the second stage. This preliminary action at high speed reduces the burden on the second stage, allowing the overall system to maintain high compression speed while achieving high final compression ratio through the second stage's more thorough compression.
3Device complexity
If a single-stage compression method is used, then the device complexity is reduced, but the overall compression performance is limited
Solution Approach 1:
The compression system is divided into two distinct stages, each with its own algorithm and optimization goals. This segmentation increases compression performance by allowing each stage to be optimized for its specific function, while the modular architecture manages complexity through clear separation of concerns and independent stage operation.
Data Source
AI summary
A lossless data compressor of an aspect includes a first lossless data compressor circuitry coupled to receive input data. The first lossless data compressor circuitry is to apply a first lossless data compression approach to compress the input data to generate intermediate compressed data. The apparatus also includes a second lossless data compressor circuitry coupled with the first lossless data compressor circuitry to receive the intermediate compressed data. The second lossless data compressor circuitry is to apply a second lossless data compression approach to compress at least some of the intermediate compressed data to generate compressed data. The second lossless data compression approach different than the first lossless data compression approach. Lossless data decompressors are also disclosed, as are methods of lossless data compression and decompression.