Frequency-Based Bitstream Encoding for Low-Latency Compression
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Solution Overview
Problem
Existing compression techniques, such as Lempel-Ziv, face inefficiencies in encoding lengths and offsets, leading to sub-optimal results across a wide range of data patterns, and require data-specific approaches that are not universally effective.
Innovation Solution
A hardware-implementable bitstream encoding scheme that uses frequency-based encoding for numeric values like lengths, offsets, and flags, allowing for near-optimal encoding in real-time with low latency and minimal data dependency, suitable for various data patterns and capable of being instantiated in hardware, software, or a combination of both.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If table-based approaches are used for compression encoding, then data-specific optimization is achieved, but universality and adaptability across different data patterns deteriorate
Solution Approach 1:
The patent implements a universal encoding scheme that can handle multiple data patterns (lengths, offsets, flags) using the same hardware engine. The frequency-based encoding approach adapts to different data distributions without requiring separate specialized tables for each data type, making the system universally applicable across various compression scenarios while maintaining encoding precision.
Solution Approach 2:
The patent dynamically adjusts encoding parameters based on observed frequency distributions in the data. By monitoring the frequency of occurrence of different values and adapting the encoding scheme accordingly, the system achieves high precision for the current data pattern while maintaining the ability to adapt to future patterns, thus resolving the contradiction between precision and adaptability.
2Manufacturing precision
If multiple tables are used to select the best encoding result, then encoding optimization is improved, but device complexity and computational overhead increase
Solution Approach 1:
The patent employs a single multi-functional hardware engine that can encode different types of data (lengths, offsets, flags) using the same frequency-based encoding mechanism. This universal approach eliminates the need for multiple separate tables and selection logic, reducing hardware complexity while maintaining encoding optimization through adaptive frequency analysis.
Solution Approach 2:
The encoding system automatically adapts to the data being encoded by analyzing frequency distributions and adjusting its encoding strategy without requiring external control or multiple pre-configured tables. The single hardware engine serves all encoding needs by self-adjusting based on the input data characteristics, simplifying the overall system architecture.
3Reliability
If conventional compression passes are used, then compression functionality is achieved, but latency and processing time increase
Solution Approach 1:
The patent performs frequency analysis and encoding optimization in parallel with the compression process rather than as a separate subsequent step. By preparing the encoding strategy in advance based on initial frequency observations, the system reduces latency while maintaining full compression functionality, as the encoding parameters are ready before actual encoding begins.
Solution Approach 2:
The hardware engine continuously updates frequency statistics and adjusts encoding parameters throughout the compression process without interrupting the main compression functionality. This continuous adaptation eliminates idle time between analysis and encoding phases, reducing overall latency while ensuring reliable compression through ongoing optimization.
Data Source
AI summary
An apparatus includes a first circuit and a second circuit. The first circuit may be configured to generate (i) a compressed representation of an input sequence of characters and (ii) statistics regarding one or more types of information in the compressed representation of the input sequence of characters. The second circuit may be configured to generate a compressed bitstream representation of the input sequence of characters in response to the compressed representation of the input sequence of characters and one or more of the statistics regarding the one or more types of information in the compressed representation of the input sequence of characters. The bitstream values encoding the one or more types of information are generally determined based upon a frequency of occurrence of the one or more types of information in the compressed representation of the input sequence of characters.