Signal Processing Device Frequency Importance Noise Suppression
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Solution Overview
Problem
Existing noise suppression technologies in audio signals often distort important signal components, leading to degradation in sound quality due to indiscriminate noise suppression methods that do not account for the importance of frequency components.
Innovation Solution
A signal processing technology that determines the importance degree of frequency components in a mixed signal and adjusts noise suppression accordingly, inhibiting suppression more significantly for high-importance frequency components, thereby maintaining key signal components and improving sound quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise suppression is applied uniformly across all frequency components, then noise is suppressed effectively, but important signal components are distorted and sound quality degrades
Solution Approach 1:
The patent applies different noise suppression strengths to different frequency components based on their importance. Frequency components are classified into first frequency components (higher importance) and second frequency components (lower importance), with the latter receiving stronger suppression. This local differentiation resolves the contradiction by allowing effective noise suppression in less important frequency regions while preserving signal integrity in important regions.
Solution Approach 2:
The patent changes the suppression parameter (suppression strength) based on the importance degree of each frequency component. By adjusting the suppression parameter dynamically according to frequency-specific importance metrics, the system achieves both effective noise suppression and preservation of important signal components, resolving the contradiction between noise reduction and signal fidelity.
2Object-affected harmful factors
If noise suppression strength is increased, then noise is suppressed more effectively, but distortion of important signal components increases
Solution Approach 1:
The patent implements local quality by applying strong noise suppression only to frequency components with lower importance (second frequency components), while using milder suppression for important frequency components (first frequency components). This spatial-frequency differentiation allows the system to achieve effective overall noise suppression without distorting important signal content, thus resolving the contradiction between noise reduction and signal quality preservation.
3Device complexity
If uniform noise suppression is applied, then processing is simple, but sound quality perception deteriorates due to distortion of important components
Solution Approach 1:
The patent determines importance degrees for different frequency components and applies differentiated suppression strategies accordingly. This local quality approach, while more complex than uniform suppression, significantly improves sound quality by preventing distortion of important signal components, thus resolving the contradiction between processing simplicity and output quality.
Data Source
AI summary
The purpose of the present invention is to achieve a high-quality signal processing performance. A signal processing device provided with a suppression unit for suppressing a second signal by processing a mixed signal in which a first signal and the second signal are present. The signal processing device is provided with an analysis unit for analyzing, per frequency component, the importance of the first signal contained in the mixed signal, and an inhibition unit for inhibiting the suppression of the second signal of a frequency component having a high importance over a frequency component having a low importance on the basis of the analysis result of the analysis means.