Signal Filter Device Dynamic Adaptive Filter Control
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Solution Overview
Problem
Existing echo cancellation systems face high signal transmission delays due to the high number of adaptive filters required to process multiple sub-bands, leading to increased computation burden and reduced user experience.
Innovation Solution
A signal filter device with M adaptive filters, M first analysis filters, and M second analysis filters, where the controller adjusts the working states of the adaptive filters based on correlation parameters, allowing for the detection of conditions to stop non-essential filters, thereby reducing the number of active filters and minimizing delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of adaptive filters are arranged to process more sub-bands, then the echo processing ability is improved, but the computation burden and time cost increase, causing higher signal transmission delay
Solution Approach 1:
The patent implements dynamic adjustment of the number of working adaptive filters based on real-time correlation parameters. The controller monitors the correlation between near-end and far-end signals and dynamically selects only the necessary number of adaptive filters to work, rather than maintaining a fixed large number of filters. This dynamic adaptation reduces computation burden and signal transmission delay while maintaining adequate echo processing ability.
Solution Approach 2:
The patent changes the operational parameters of the adaptive filter system by adjusting the number of active filters based on correlation parameters. When the correlation parameter indicates low echo content, the system reduces the number of working filters, thereby changing the computational load parameter and reducing signal transmission delay while maintaining echo cancellation performance when needed.
2Reliability
If a large number of adaptive filters are arranged to process more sub-bands, then the echo processing ability is improved, but the computation burden increases
Solution Approach 1:
The system dynamically adjusts the number of working adaptive filters based on real-time signal correlation analysis. Instead of maintaining a fixed large number of filters that increase computation burden, the controller actively monitors correlation parameters and activates only the necessary number of filters, thereby reducing computational complexity while preserving echo processing capability when required.
Solution Approach 2:
The patent applies partial action by activating only the necessary subset of adaptive filters rather than all available filters. Based on correlation parameter analysis, the system determines the minimum number of filters needed for effective echo cancellation and activates only that portion, avoiding the excessive computation burden that would result from running all filters simultaneously.
3Adaptability or versatility
If the number of sub-bands is increased to expand usage scenarios, then the system versatility is improved, but the time cost to process echoes increases
Solution Approach 1:
The patent enables the system to adaptively adjust the number of working adaptive filters based on correlation parameters, allowing it to handle different usage scenarios efficiently. When fewer sub-bands are needed, the system activates fewer filters, reducing processing time. This dynamic adaptation maintains system versatility while optimizing processing time for each specific scenario.
Data Source
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AI summary
A method and system for operating a signal filter device are provided in the present disclosure. The signal filter device may include M adaptive filters, M first analysis filters, M second analysis filters, and a controller. M may be an integer above two. The method may include generating, by the M first analysis filters, M first sub-band signals based on an input signal. The method may also include generating, by the M second analysis filters, M second sub-band signals based on a reference signal. The method may further include adjusting, by the controller, the working states of the M adaptive filters based on correlations between the M first sub-band signals and the M second sub-band signals.