Adaptive Bit-Depth Approximation for Digital Signal Quality
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Solution Overview
Problem
Existing digital signal processing systems often result in a deterioration of subjective perception quality due to an inability to properly process the least significant bits of digital signals, despite using high bit depths, leading to reduced perceived quality of digital signals despite theoretical precision.
Innovation Solution
A digital circuitry that calculates the number of significant bits for each sample based on the value of the sample, dynamically adjusting the bit depth to ensure optimal processing and matching the expected bit depth of processing units, while minimizing noticeable alterations such as quantization noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high bit depth is used for processing digital signals, then measurement precision is improved, but processing reliability deteriorates due to inability to properly process least significant bits
Solution Approach 1:
The patent applies dynamics by making the bit depth adaptive rather than fixed. The processing unit dynamically adjusts the number of significant bits based on the actual signal characteristics (amplitude, variance, spectral content) of each signal segment. This allows the system to use high precision only when necessary while avoiding the reliability issues associated with processing excessive least significant bits that contain mostly noise.
Solution Approach 2:
The patent changes the parameter of bit depth from a static high value to a dynamic value that adapts to signal conditions. By monitoring signal characteristics and adjusting the significant bit count accordingly, the system transforms the fixed high-precision processing approach into an adaptive approach that maintains reliability while preserving necessary precision.
2Manufacturing precision
If high number of bits is used for processing, then manufacturing precision is improved, but loss of information increases due to processing limitations
Solution Approach 1:
The patent extracts only the significant bits that contain actual signal information, separating them from the least significant bits that contain processing artifacts and noise. By identifying and retaining only the necessary significant bits through analysis of signal characteristics, the system prevents information loss while avoiding the accumulation of processing errors from excessive bit processing.
Solution Approach 2:
The patent applies partial action by processing only the necessary number of significant bits rather than all available bits. This prevents the excessive processing of bits that would lead to information loss and degradation, while still maintaining sufficient precision for high-quality signal reproduction.
3Measurement precision
If fixed high bit depth is used throughout processing, then measurement precision is improved, but adaptability deteriorates to signal characteristics
Solution Approach 1:
The patent makes the bit depth adaptive by continuously monitoring signal characteristics such as amplitude, variance, and spectral content. The processing unit dynamically adjusts the number of significant bits for each segment based on these characteristics, allowing high precision for complex signals while reducing precision for simpler signals, thereby achieving both precision and adaptability.
Solution Approach 2:
The patent applies local quality by allowing different bit depths for different segments or portions of the signal based on their specific characteristics. Rather than applying a uniform high bit depth throughout, the system tailors the precision level to the local requirements of each signal segment, optimizing both precision and adaptability.
Data Source
AI summary
The invention relates to the representation of digital signals. In order to improve the perception by a user of the quality of a digital signal, a first sample of first digital signal is approximated to a second sample of a second digital signal having a second number of significant bits lower than the first number of significant bits of the first sample. The second number of significant bits is also lower than a number of significant bits allowing the second digital signal, or a signal derived therefrom to match an expected bit depth of a processing unit said second digital signal, or a signal derived therefrom is to be sent to.