Multi-Channel Signal Adaptation via Feedback Calibration
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Solution Overview
Problem
Current simulation systems face challenges in dynamically adapting calibrated multi-channel non-coherent signals, particularly due to the loss of calibration information when multiple filters are applied, variations in ambient noise, and inconsistent low-frequency responses of loudspeakers, which affect the realism and quality of sound models.
Innovation Solution
A system comprising synthesizers, band-pass filters, and a channel configurator that adjusts signal amplitudes based on a target global signal amplitude and noise sensor feedback to ensure coherent sound delivery across multiple channels, while selecting loudspeakers for optimal low-frequency rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple filters are applied on sound models to adapt to different frequency bands, then the frequency response is improved, but the calibration information is lost and the traceability of sound models with initial raw data is compromised
Solution Approach 1:
The system implements a feedback mechanism where the channel configurator receives the actual amplitude spectrum of the sound model after filtering and compares it with the reference amplitude spectrum. Based on this comparison, the channel configurator automatically adjusts the filter parameters to restore the calibrated amplitude spectrum, thereby maintaining calibration information traceability while allowing multiple frequency band filters to be applied.
Solution Approach 2:
The system dynamically adjusts filter parameters based on real-time analysis of the amplitude spectrum. The channel configurator modifies filter characteristics dynamically to ensure that the output sound model maintains the required calibration, allowing the system to adapt to different frequency bands while preserving calibration information through continuous parameter adjustment.
2Manufacturing precision
If equalization filters are manually calibrated to account for simulator ambient noise and channel effectiveness, then the sound model accuracy is improved, but the calibration process becomes complex and time-consuming
Solution Approach 1:
The channel configurator performs self-service calibration by automatically analyzing the amplitude spectrum of sound models and adjusting filter parameters without requiring manual intervention. The system autonomously compares actual output with reference spectra and modifies filter characteristics to achieve the required calibration, thereby maintaining sound model accuracy while simplifying the calibration process.
Solution Approach 2:
The system replaces manual mechanical calibration procedures with automated electronic processing. Instead of manual adjustment of equalization filters, the channel configurator uses computational algorithms to automatically adjust filter parameters based on amplitude spectrum analysis, reducing calibration complexity and time requirements while maintaining or improving accuracy.
3Adaptability or versatility
If the quality and low frequency response of loudspeakers vary significantly, then the system can accommodate different hardware configurations, but the rendering of sound models with low frequencies becomes inconsistent
Solution Approach 1:
The system applies local quality adjustment by analyzing the specific characteristics of each loudspeaker's frequency response and adjusting the filter parameters individually for each channel. The channel configurator modifies the amplitude spectrum of sound models specifically for the low frequency range to compensate for variations in each loudspeaker's performance, ensuring consistent rendering across different hardware configurations.
Solution Approach 2:
The system dynamically changes filter parameters based on the detected characteristics of each loudspeaker. The channel configurator adjusts frequency response parameters, particularly in the low frequency range, to compensate for variations in loudspeaker quality. This parameter adjustment ensures that sound models are rendered consistently across different loudspeakers while maintaining the system's ability to accommodate various hardware configurations.
4Adaptability or versatility
If changes in simulator ambient noise occur, then the system can adapt to different environmental conditions, but the global sound level is affected and requires new adjustments
Solution Approach 1:
The system implements feedback by continuously monitoring the ambient noise environment and adjusting the global sound level accordingly. The channel configurator receives information about ambient noise conditions and modifies the amplitude spectrum of sound models to maintain consistent global sound levels. This feedback mechanism allows the system to adapt to different environmental conditions while preserving sound level consistency.
Data Source
AI summary
A system for dynamically adapting calibrated multi-channel non-coherent signals. The system comprises a physical simulation environment, a plurality of synthesizers for generating a corresponding plurality of signals, a plurality of filters for band-pass filtering the plurality of generated signals, and a plurality of loudspeakers positioned on a wall of the physical simulation environment for playing the plurality of filtered signals inside the physical simulation environment. The system comprises a noise sensor positioned inside the physical simulation environment for measuring a physical simulation environment signal amplitude and transmitting the physical simulation environment signal amplitude to a channel configurator. The system comprises the channel configurator for configuring each synthesizer to generate the corresponding signal according to a calibrated amplitude spectrum of the signal. The calibrated amplitude spectrum is determined based on a reference amplitude spectrum of the signal and an adjusted global signal amplitude. The adjusted global signal amplitude is calculated based on a target global signal amplitude and the physical simulation environment signal amplitude.