Audio Connection Testing via Signal Correlation
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Solution Overview
Problem
Existing audio evaluation systems rely on level-based measurements, which may not accurately detect defects in audio connections between an audio source and a loudspeaker, and often require recalibration when devices are replaced, necessitating an improved method for ensuring continuity and reliability in audio connections.
Innovation Solution
An adaptive filter and decision circuit system that processes a reference signal to minimize error signals, determining signal correlation between the audio source and loudspeaker, thereby detecting defects in the audio connection by analyzing the error and received signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If level-based measurements are used to test audio connections, then the testing process is simple, but the accuracy of defect detection is insufficient
Solution Approach 1:
The system uses feedback mechanisms where the received signal is continuously compared with the reference signal through correlation analysis. The adaptive filter processes the reference signal to generate an error signal, which is fed back to the decision circuit for continuous monitoring of signal correlation, enabling accurate defect detection while maintaining operational simplicity
Solution Approach 2:
The patent replaces traditional level-based mechanical measurement systems with signal processing techniques. Instead of relying on simple amplitude measurements, the system uses digital signal processing including adaptive filtering and correlation analysis to detect defects, thereby improving measurement precision while keeping the interface simple
2Ease of manufacture
If traditional audio evaluation systems are used, then the basic testing function is provided, but recalibration is required when devices are replaced
Solution Approach 1:
The system employs dynamic adaptation through the adaptive filter that automatically adjusts its parameters based on the actual signal characteristics. This dynamic behavior allows the system to adapt to different devices and connection conditions without requiring manual recalibration, maintaining reliability across device replacements while preserving basic testing functionality
Solution Approach 2:
The adaptive filter performs self-adjustment by automatically processing the reference signal and minimizing the error signal without external intervention. This self-service capability eliminates the need for recalibration when devices are replaced, ensuring consistent and reliable testing across different audio components
3Measurement precision
If tolerance range is adjusted to compensate for loudspeaker characteristics, then measurement accuracy is improved, but the system becomes more complex
Solution Approach 1:
The system uses feedback through the adaptive filter that continuously adjusts its parameters based on the error signal between the reference and received signals. This feedback mechanism automatically compensates for loudspeaker characteristics and connection conditions without requiring manual tolerance range adjustments, improving measurement precision while avoiding the complexity of fixed tolerance configurations
Solution Approach 2:
The adaptive filter dynamically changes its parameters in response to the signal characteristics and error signal. This parameter adaptation allows the system to automatically compensate for variations in loudspeaker performance and connection quality, achieving high measurement precision without the need for complex manual tolerance adjustments
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system effectively detects defects in audio connections by correlating error and received signals, ensuring reliable audio transmission and reducing the need for frequent recalibration, thus enhancing the reliability and accuracy of audio evaluation.
Implementation Method 1
a loudspeaker that converts a reference signal into a sound
Implementation Method 2
A decision circuit analyzes the error signal and the received signal to determine signal correlation
Data Source
AI summary
A testing system tests an audio connection between an audio source and a loudspeaker. The system includes a loudspeaker that converts a reference signal into a sound. An adaptive filter processes the reference signal to minimize an error signal. A decision circuit analyzes the error signal and the received signal to determine signal correlation. When the signals are not correlated, a defect is detected.