Nonlinear Loudspeaker Control via Adaptive Model Updating
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Solution Overview
Problem
Consumer electronic devices, such as mobile phones and laptops, often compromise audio quality due to design constraints like cost, size, and visual appeal, leading to significant nonlinear acoustic signatures that degrade the audio experience, and existing solutions fail to efficiently address these issues without increasing complexity or cost.
Innovation Solution
A nonlinear control system for loudspeakers that includes a controller with a feed-forward model and sensors to compensate for acoustic characteristics and environmental parameters, using a model updating function to adapt and improve audio rendering by analyzing feedback signals and updating models periodically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If additional components or complex systems are added to improve acoustic performance, then audio quality is improved, but cost and device complexity increase
Solution Approach 1:
The patent replaces physical acoustic correction components with a digital model-based control system. A computational model predicts nonlinear acoustic distortions, and a controller applies inverse compensation through signal processing, substituting mechanical/acoustic correction mechanisms with electronic computation to improve audio quality without adding physical complexity
Solution Approach 2:
The system dynamically adjusts control parameters based on operating conditions by updating the acoustic model with measured feedback data. This allows the system to adapt to changing environmental conditions and device states, maintaining optimal audio performance across different scenarios without requiring multiple fixed correction systems
2Manufacturing precision
If model updating frequency is increased to improve compensation accuracy, then audio quality is improved, but computational load and energy consumption increase
Solution Approach 1:
The system implements periodic model updating at strategically chosen intervals rather than continuous updating. The controller updates the acoustic model periodically based on accumulated feedback data, balancing the need for accurate compensation with computational efficiency and energy conservation in the portable device
Solution Approach 2:
The system maintains continuous audio rendering and feedback collection, with the useful action of acoustic compensation being continuously effective through the controller. The model updating occurs periodically to refresh the compensation parameters, ensuring continuous accurate compensation without the energy overhead of continuous model retraining
Data Source
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AI summary
A nonlinear control system includes a controller, a model updater, and a model. The controller is configured to accept one or more input signals, and one or more updates generated by the model updater to produce one or more control signals. The system is configured to drive one or more transducers with the control signals to produce a rendered audio stream therefrom. The model updater is configured to analysis one or more portions of the audio stream and to update one or more aspects of the controller so as to alter performance of the transducer.