Feedforward Filter Optimization for Accurate Audio Transparency
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Solution Overview
Problem
Existing methods for designing feedforward filters in audio devices for transparency mode are inefficient and lack precision due to the neglect of the feedback path in the optimization process.
Innovation Solution
A computer-implemented method for optimizing the feedforward filter that considers both the feedback and feedforward paths, using regression techniques to determine filter coefficients and compensate for the passive frequency response of the audio device, ensuring stability and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the conventional method of designing feedforward filter is used (acoustic measurements and manual tuning), then the design process is simple to implement, but the design efficiency is low and the accuracy is insufficient
Solution Approach 1:
The patent replaces manual acoustic measurement and tuning processes with an automated computer-implemented optimization system. The system uses regression techniques to automatically determine feedforward filter coefficients based on system transfer functions, eliminating the need for manual acoustic measurements and iterative tuning while improving both accuracy and efficiency.
Solution Approach 2:
The optimization system performs self-adjustment by automatically calculating the optimal feedforward filter coefficients through regression analysis of the system transfer function. The system uses the relationship between target transfer function, system transfer function, and passive frequency response to autonomously determine filter parameters without external intervention.
2Measurement precision
If the feedback path is neglected in the optimization process, then the design process is simpler, but the transparency frequency response accuracy deteriorates
Solution Approach 1:
The patent incorporates the feedback path into the optimization process by using the system transfer function that includes both feedforward and feedback paths. The regression technique utilizes the complete system model to determine feedforward filter coefficients, ensuring that the feedback path's influence on the transparency frequency response is properly accounted for.
Solution Approach 2:
The patent merges the feedforward and feedback path optimizations by using a unified system transfer function that encompasses both paths. The regression-based optimization simultaneously considers the interactions between feedforward filter, feedback filter, and the overall system response, providing a comprehensive solution that improves transparency accuracy.
3Ease of manufacture
If manual tuning method is used, then the implementation is easier, but the labor time and complexity increase
Solution Approach 1:
The patent replaces manual tuning operations with an automated computer-implemented optimization system. The system automatically calculates optimal feedforward filter coefficients using regression techniques on the system transfer function, eliminating manual intervention and significantly reducing tuning time while maintaining ease of implementation through algorithmic automation.
Solution Approach 2:
The optimization system performs preliminary calculations of the optimal feedforward filter coefficients before actual deployment. By pre-calculating the filter parameters using regression analysis on the system transfer function, the system eliminates the need for time-consuming manual tuning during implementation.
Data Source
AI summary
A computer-implemented method for automatically designing a feedforward filter that is optimized for an audio transparency mode of operation of an audio device, the audio device comprising the feedforward filter and a feedback filter, the method comprising optimizing the feedforward filter for the audio transparency mode of operation, wherein optimization of the feedforward filter is dependent on the feedback filter.