Audio Peak Detection for Broad and Narrow Signal Peaks
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Solution Overview
Problem
Existing audio encoding and decoding methods suppress narrow peaks in signals, penalizing them more than broader peaks, which is disadvantageous for functions that yield both narrow and broad peak structures.
Innovation Solution
A method and encoder/decoder that combine a filtered signal with the original signal using a maximum function to identify both broad and narrow peaks, preserving the magnitude of narrow peaks relative to broader ones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a low-pass filter is applied to the signal to estimate underlying peaks using neighboring sample points, then broad peaks can be identified, but narrow peaks are suppressed more than broader peaks
Solution Approach 1:
The patent segments the peak detection process into two distinct paths: one for detecting broad peaks using filtered signal, and another for detecting narrow peaks using the original unfiltered signal. This segmentation allows each path to be optimized for its specific peak type without compromising the other.
Solution Approach 2:
The patent applies filtering selectively - using the filtered signal for broad peak detection and the original unfiltered signal for narrow peak detection. This partial application of filtering avoids the excessive suppression of narrow peaks while still enabling broad peak identification.
2Measurement precision
If filtering is applied to aggregate peak values over several sample points, then peak location estimation is improved, but the magnitude of narrow peaks is reduced
Solution Approach 1:
The patent applies different processing qualities to different parts of the signal: filtered processing for regions containing broad peaks and unfiltered processing for regions containing narrow peaks. This local quality differentiation ensures each peak type is measured with the appropriate level of smoothing.
Solution Approach 2:
The patent changes the filtering parameter (filter application) based on the detected peak characteristics. By detecting peak width and comparing it to a threshold, the system dynamically adjusts whether to apply filtering, thereby adapting the processing parameter to match the local signal characteristics.
3Manufacturing precision
If complex nonlinear filtering operations are applied to eliminate peak attenuation, then peak magnitude is preserved, but the system becomes limited to signals with similar peak morphology
Solution Approach 1:
The patent creates a universal peak detection system that handles multiple peak morphologies (both narrow and broad peaks) within a single framework. By providing separate detection paths and selecting between them based on peak width, the system achieves multi-functionality without requiring complex morphology-specific processing.
Solution Approach 2:
The patent introduces dynamic adaptability by detecting peak width and dynamically selecting between filtered and unfiltered signal processing based on whether the peak is narrow or broad. This dynamic approach allows the system to adapt to different peak morphologies in real-time without being constrained to a single peak type.
Data Source
AI summary
A method of operating an encoder or a decoder. The method comprises receiving an analysis signal of an audio signal and a filtered analysis signal, combining the filtered signal with the analysis signal to generate a combined signal using a maximum function that provides at least one of a maximum positive value at each index i of the combined signal and a maximum negative value at each index i of the combined signal. The method comprises identifying broad peaks and narrow peaks of the combined signal.