Sample Sequence Converter for Sound Signal Encoding
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Solution Overview
Problem
Conventional sound signal compression techniques require additional auxiliary information for post-processing, increasing the amount of necessary information and not effectively addressing the aural weighting requirements, particularly in ensuring appropriate weight distribution across signal and frequency spectra.
Innovation Solution
A sample sequence converter that performs quasi-instantaneous companding and decompanding using representative values to weight and unweight sound signals, eliminating the need for auxiliary information by calculating representative values for each frequency or time section and applying companding functions to achieve aural weighting without additional data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional lossy compression encoding with auxiliary information is used, then aural weighting can be applied, but the amount of necessary information increases and device complexity increases
Solution Approach 1:
The patent extracts and eliminates the auxiliary information (filter coefficients) from the conventional encoding system. By using representative values calculated from the signal itself rather than external filter coefficients, the system achieves aural weighting without requiring additional auxiliary information streams, thus reducing the total amount of information needed while maintaining aural quality.
Solution Approach 2:
The system uses the signal's own characteristics (representative values derived from the signal itself) to perform the weighting operation. Instead of requiring external auxiliary information to guide the weighting process, the signal self-provides the necessary weighting information through its own statistical properties, eliminating the need for separate auxiliary data streams.
2Reliability
If conventional lossy compression encoding with auxiliary information is used, then aural weighting can be applied, but device complexity increases
Solution Approach 1:
The patent removes the auxiliary information processing components from the conventional encoding system. By calculating representative values directly from the signal samples without requiring external filter coefficients, the system simplifies the overall device architecture while maintaining the ability to apply appropriate aural weighting.
Solution Approach 2:
The representative value calculation serves multiple functions: it characterizes the signal's statistical properties, provides weighting information, and eliminates the need for separate auxiliary information processing. This multi-functional approach reduces device complexity by consolidating multiple functions into a single processing stage.
3Loss of information
If simple lossy compression encoding is used, then the amount of information is reduced, but aural weighting is not effectively achieved
Solution Approach 1:
The patent changes the parameter used for weighting from external filter coefficients to representative values derived from the signal's own statistical properties. This parameter change enables the system to achieve effective aural weighting while maintaining efficient information compression, as the representative values capture the essential weighting information without requiring additional auxiliary data.
4Reliability
If filter coefficients are added for filtering, then aural weighting can be applied, but the amount of necessary information increases
Solution Approach 1:
The patent extracts the weighting function from the conventional filter coefficient approach and implements it through representative values calculated from the signal itself. This extraction eliminates the need for auxiliary filter coefficient data while maintaining the ability to apply appropriate aural weighting, thus reducing the total quantity of information required.
Solution Approach 2:
The signal processing system uses the signal's own statistical characteristics to provide the weighting information. The representative values are calculated directly from the signal samples, allowing the system to self-produce the weighting parameters without requiring external auxiliary information, thereby reducing the total information quantity needed.
Data Source
AI summary
Performance of an encoding process and a decoding process for a sound signal is enhanced. A representative value calculating part 110 calculates, for each frequency section by a plurality of samples fewer than the number of frequency samples of a sample sequence of a frequency domain signal corresponding to an input acoustic signal, from the sample sequence of the frequency domain signal, a representative value of the frequency section from sample values of samples included in the frequency section, for each of predetermined time sections. A signal companding part 120 obtains, for each of the predetermined time sections, a frequency domain sample sequence obtained by multiplying a weight according to a function value of the representative value by a companding function for which an inverse function can be defined and each of the samples corresponding to the representative value in the sample sequence of the frequency domain signal, as a sample sequence of a weighted frequency domain signal.