Multi-Channel Signal Encoding Using Phase Quantization and Huffman Coding
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Solution Overview
Problem
Existing methods for encoding and decoding multi-channel signals, such as Parametric Stereo technology, are inefficient in representing phase information, leading to increased bit usage and reduced encoding efficiency.
Innovation Solution
An encoding apparatus and method that extracts and quantizes phase parameters using a Huffman coding scheme, applying modulo operations to reduce bit allocation and prevent entropy increase, while also encoding mono-signals and generating bitstreams efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If phase information is encoded using conventional methods, then phase information can be represented, but the number of bits required increases and encoding efficiency decreases
Solution Approach 1:
The patent applies parameter changes by transforming the phase information representation through quantization and Huffman coding. The phase parameter is quantized to a limited number of levels, and then Huffman coding is applied to encode the quantized values, reducing the number of bits required while maintaining phase information accuracy.
Solution Approach 2:
The patent extracts only the essential phase information needed for audio coding by using quantization to select from a limited set of phase values. This extraction approach removes unnecessary precision while retaining the critical phase characteristics required for signal reconstruction.
2Measurement precision
If more bits are allocated to phase parameters, then phase information accuracy improves, but the overall bitstream size increases
Solution Approach 1:
The patent changes the parameter representation by applying quantization that maps continuous phase values to discrete levels, followed by Huffman coding that assigns variable-length codes based on probability distribution. This achieves accurate phase representation with reduced bitstream size by optimizing the balance between precision and compression.
Solution Approach 2:
The patent employs dynamic bit allocation through Huffman coding, where the number of bits used for phase parameters varies based on the probability distribution of phase values. This dynamic approach allows more bits for more probable phase values and fewer bits for less probable values, optimizing the overall bitstream size.
Data Source
AI summary
Provided is an encoding/decoding apparatus and method of multi-channel signals. The encoding apparatus and method of multi-channel signals may encode phase information of the multi-channel signals using a quantization scheme and a lossless encoding scheme, and the decoding apparatus and method of multi-channel signals may decode the phase information using an inverse-quantization scheme and a lossless decoding scheme.