DSD Block Compression Using Conversion Tables for Embedded CPUs
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Solution Overview
Problem
Current lossless compression technologies for one-bit delta-sigma-modulated digital signals, such as DSD data, do not offer a high enough compression ratio, making it difficult for ordinary embedded CPUs to handle processing, especially in mobile terminals.
Innovation Solution
A compression/encoding apparatus and method that treats delta-sigma-modulated digital data as blocks, generates a conversion table based on past data patterns, and uses this table to compress and encode data, achieving a higher compression ratio by converting four bits into two bits or six bits, allowing for efficient data transmission and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If one-bit signal processing is used for DSD data compression, then lossless compression is achieved, but processing complexity increases making it difficult for ordinary embedded CPUs to handle
Solution Approach 1:
The patent segments DSD data into fixed-length blocks (e.g., 131072 bits per block) and processes each block independently. This segmentation allows ordinary embedded CPUs to handle compression in manageable units rather than dealing with continuous one-bit streams, reducing processing complexity while maintaining lossless compression through systematic block-based encoding.
Solution Approach 2:
The patent performs preliminary analysis of data patterns within blocks before compression encoding. By pre-identifying repetitive patterns and generating conversion tables based on historical data within each block, the system prepares compression mappings in advance, reducing the real-time processing burden on embedded CPUs while ensuring lossless reconstruction.
2Productivity
If conventional compression technologies are used for DSD data, then processing is simpler, but compression ratio is not high enough
Solution Approach 1:
The patent implements feedback mechanisms where compression performance is continuously monitored and conversion tables are dynamically updated based on encoded data patterns. This feedback loop enables the system to adapt to varying DSD data characteristics, achieving higher compression ratios by optimizing encoding strategies based on actual data patterns while maintaining manageable complexity through iterative improvement.
Solution Approach 2:
The patent changes encoding parameters dynamically based on data characteristics. By adjusting block sizes, conversion table depths, and encoding strategies according to the statistical properties of DSD data patterns, the system achieves higher compression ratios for different types of audio content while keeping the base processing complexity suitable for embedded CPUs.
3Productivity
If block-based compression with conversion tables is implemented, then higher compression ratio is achieved, but data structure complexity increases
Solution Approach 1:
The patent segments compressed data into standardized block units with fixed structures containing metadata, conversion tables, and encoded payload. This segmentation creates predictable data structures that are easier to manage and transmit compared to continuous variable-length encodings, achieving higher compression ratios through systematic block processing while controlling data structure complexity through standardization.
Solution Approach 2:
The patent applies partial compression strategies where only portions of the DSD data within blocks are compressed using conversion tables, while other portions may be transmitted directly. This selective approach achieves higher overall compression ratios for typical audio content while reducing data structure complexity by avoiding universal complex encoding for all data types.
Data Source
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AI summary
The present disclosure relates to a compression/encoding apparatus and method, a decoding apparatus and method, and a program that allow for provision of a lossless compression technology with higher compression ratio. A GOB data configuration section configures GOB data with a group of digital data that includes a plurality of blocks by treating a frame of delta-sigma-modulated digital data as a block. A table generation section generates a conversion table for encoding the GOB data. An encoding section compresses and encodes the digital data of each block included in the GOB data by using the conversion table. The present technology is applicable, for example, to audio signal compression and encoding, and so on.