Signal Processing Apparatus Noise Decorrelation Phase Difference
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Solution Overview
Problem
Existing signal processing techniques that enhance phase differences to reduce noise often inadvertently remove desired signal components along with noise components.
Innovation Solution
A signal processing apparatus and method that includes a noise decorrelator to remove noise signals with correlation between channels and a residual noise remover that uses phase differences to isolate and eliminate noise from the output signal without affecting the desired signal, employing suppression coefficients calculated based on phase differences between input signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If phase difference enhancement is applied to reduce residual noise, then noise reduction is improved, but desired signal components are unwantedly removed
Solution Approach 1:
The invention divides the noise removal process into two distinct segments: a decorrelation processing stage that removes correlated noise components, and a phase difference enhancement stage that removes residual uncorrelated noise. This segmentation allows each stage to target specific noise characteristics without adversely affecting the desired signal.
Solution Approach 2:
The decorrelation processing is performed as a preliminary action before phase difference enhancement. By removing the correlated noise components first, the subsequent phase difference enhancement operates on a cleaner signal, reducing the risk of removing desired signal components while still achieving effective residual noise reduction.
2Object-affected harmful factors
If noise removal processing is applied to remove noise components, then noise reduction is improved, but desired signal components may be removed together with noise
Solution Approach 1:
The invention applies different processing characteristics to different noise components based on their correlation properties. Correlated noise components are removed through decorrelation processing, while uncorrelated residual noise is removed through phase difference enhancement. This local quality approach ensures that each noise type is addressed with the most appropriate method, minimizing signal loss.
Solution Approach 2:
The system uses feedback by calculating the correlation between input signals and the output signal from decorrelation processing to determine the phase difference. This feedback mechanism allows the system to adaptively adjust the noise removal process, ensuring that desired signal components are preserved while noise is effectively removed.
Data Source
AI summary
To remove only noise components without removing desired signal components, a signal processing apparatus includes a noise decorrelator that removes noise signals having correlation between at least two input signals, in each of which a desired signal and a noise signal coexist, by receiving the at least two input signals from at least two channels, and a residual noise remover that removes residual noise included in an output signal of the noise decorrelator based on a phase difference between the output signal of the noise decorrelator and at least one input signal included in the at least two input signals.