Packetized Differential Encoding with Local Standardization Factors
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Solution Overview
Problem
Existing compression techniques, both lossy and lossless, suffer from noticeable quality loss during signal reproduction, with lossy methods discarding irretrievable information and lossless methods limiting compression factors due to quantizing errors.
Innovation Solution
The method involves encoding sub-groups of successive source values into packets with an initial value, standardization factor, and difference values, where the standardization factor is determined by the maximum difference within the sub-group, allowing for high compression without significant quality loss by shifting encoding errors to higher frequency ranges and compensating with emphasis and de-emphasis processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If lossy compression techniques are used to achieve high compression factors, then the data size is reduced significantly, but the signal quality deteriorates due to permanent information loss
Solution Approach 1:
The patent divides the signal into sub-groups of successive source values and processes each sub-group separately. By segmenting the compression process into manageable units with localized standardization factors, the system achieves high compression ratios while maintaining signal fidelity within each segment, avoiding the quality degradation associated with global lossy compression.
Solution Approach 2:
The patent applies local standardization factors to different sub-groups of source values, allowing each segment to be compressed according to its own characteristics. This localized approach preserves important signal variations in each region while achieving overall high compression, resolving the contradiction between compression ratio and quality preservation.
2Manufacturing precision
If lossless compression techniques are used to preserve signal quality, then the compression factor is limited due to quantizing errors
Solution Approach 1:
The patent changes the parameter representation by using standardization factors and difference values instead of direct source values. This parameter transformation allows for more efficient encoding that achieves better compression ratios while maintaining lossless reconstruction capability, overcoming the compression limits of traditional lossless methods.
3Quantity of substance
If relative encoding of source values is used to achieve compression, then the data amount is reduced, but strong value fluctuations cause expansion instead of compression
Solution Approach 1:
The patent introduces dynamic standardization factors that adapt to the characteristics of each sub-group of source values. These factors are determined based on the maximum difference values within each sub-group, allowing the encoding scheme to dynamically adjust to strong value fluctuations and maintain compression efficiency across varying signal conditions.
4Quantity of substance
If sub-groups of source values are encoded with standardization factors and difference values, then compression factor increases, but computing capacity requirements increase
Solution Approach 1:
The patent segments the computation into smaller sub-group operations rather than processing the entire signal at once. This segmentation reduces the computational burden on processors with limited capacity while still achieving high overall compression ratios, as each sub-group can be processed independently with simpler operations.
Data Source
AI summary
In a method and device for encoding and/or decoding a sequence of discrete source values (Si) sub-groups (Gi) of a number of successive source values are taken from the sequence of source values. The sub-groups of source values are encoded into packets, comprising in each case an initial value (S1) corresponding to a first source value in a sub-group, a standardization factor (R) and difference values (ΔSi), standardized in accordance with the standardization factor, between values corresponding with other source values (Si) in the sub-group and in each case a value corresponding with a preceding source value (Si-1) in the sub-group. A standardization factor (R) is determined per packet subject to a greatest difference value (Δmax) within the sub-group between a source value and a preceding source value. The invention also relates to an information carrier provided with a thus encoded sequence of source values.