Non-linear Audio Filter for Echo Signal Removal
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Solution Overview
Problem
Existing electronic devices struggle to effectively remove non-linear echo signals, as feedback models primarily address linear components, leaving non-linear signals unaccounted for, which deteriorate sound quality in communication environments.
Innovation Solution
An electronic device is designed with a processor that utilizes non-linear filters and a neural network to model and remove non-linear echo signals by processing audio signals through multiple filters with distinct non-linear attributes, applying weights to frequency components, and processing external audio signals to isolate and eliminate echo signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a linear feedback model is used to remove echo signals, then linear echo components can be removed, but non-linear echo signals remain and deteriorate sound quality
Solution Approach 1:
The patent changes the mathematical model parameters from linear to non-linear by introducing sigmoid functions with adjustable parameters (alpha, beta, gamma) that can adapt to different non-linear characteristics of echo signals, enabling effective removal of non-linear echo components
Solution Approach 2:
The patent makes the filter characteristics dynamic by using adaptive parameters that can be adjusted based on signal conditions, allowing the system to respond to varying non-linear echo characteristics in real-time communication environments
2Measurement precision
If multiple non-linear filters with distinct characteristics are applied to model non-linear echo signals, then non-linear signal modeling performance improves, but device complexity and computational load increase
Solution Approach 1:
The patent segments the non-linear echo removal task into multiple parallel channels, each handling specific frequency ranges or non-linear characteristics, with results combined through weighted summation to achieve comprehensive echo suppression
Solution Approach 2:
The patent applies different non-linear filter characteristics to different frequency components and signal conditions, optimizing each segment for specific types of non-linear distortion while maintaining overall system efficiency
3Measurement precision
If a neural network with many node connections is used for non-linear modeling, then modeling performance improves, but operational complexity and memory usage increase
Solution Approach 1:
The patent extracts only the essential non-linear characteristics needed for echo cancellation by selectively modeling specific frequency components and non-linear patterns, rather than attempting to model all possible signal variations, reducing unnecessary computational overhead
Data Source
AI summary
An electronic device includes an audio input module, an audio output module, and a processor. The processor is configured to provide a first signal and a second signal into which a first audio signal is processed, output the first audio signal through the audio output module, acquire an external audio signal comprising the first audio signal of the electronic device, acquire a first output value through a first input channel of an audio filter, acquire a second output value through a second input channel of the audio filter, and provide a second audio signal, based at least on a first difference value between the magnitude value corresponding to the first frequency of the external audio signal and the first output value and a second difference value between the magnitude value corresponding to the second frequency of the external audio signal and the second output value.