DSD Audio Block Encoding for Higher Lossless Compression
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Solution Overview
Problem
Current lossless compression technologies for delta-sigma-modulated digital audio signals, such as those used in Super Audio CDs, do not offer a high enough compression ratio, making them inefficient for processing on ordinary embedded CPUs, particularly in mobile terminals.
Innovation Solution
A compression/encoding apparatus and method that configures GOB data by treating frames of delta-sigma-modulated digital data as blocks, generates a conversion table, and encodes each block using this table to achieve higher compression ratios, allowing for efficient processing on embedded CPUs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DST (Direct Stream Transfer) compression technology is used for DSD data, then lossless compression is achieved, but the processing load becomes too heavy for ordinary embedded CPUs
Solution Approach 1:
The patent segments the DSD data into fixed-length blocks (e.g., 131072 bits or 4096 samples) and processes each block independently. This segmentation allows the compression algorithm to be implemented more efficiently on embedded CPUs by breaking down the heavy processing load into manageable chunks, while still achieving lossless compression through block-based predictive coding and entropy encoding.
Solution Approach 2:
The patent changes the processing parameters by using block-based processing with configurable block sizes, and implements a simplified prediction model that operates on block boundaries rather than sample-by-sample. This parameter change reduces the computational complexity per block while maintaining compression effectiveness, making it suitable for embedded CPU processing.
2Quantity of substance
If conventional lossless compression technologies are used for DSD data, then compression is achieved, but the compression ratio is not high enough
Solution Approach 1:
The patent employs feedback mechanisms where the encoder maintains a prediction model that continuously adapts based on previously encoded blocks. The conversion tables and prediction coefficients are updated based on the statistical properties of the input signal, providing feedback that improves compression ratio while maintaining lossless reconstruction. This adaptive feedback allows higher compression ratios without sacrificing compression quality.
Solution Approach 2:
The patent performs preliminary analysis of the DSD signal characteristics before compression, including calculating prediction coefficients and preparing conversion tables based on the statistical properties of the input data. This preliminary action allows the compression algorithm to be optimized for the specific signal characteristics, achieving higher compression ratios while ensuring lossless reconstruction quality.
Data Source
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.