Audio Receiver Noise Verification
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Solution Overview
Problem
Audio signals used for data communication are prone to interference from noise, leading to inaccurate recognition and decoding, which consumes resources and delays the detection of subsequent signals.
Innovation Solution
An audio receiving device detects an activation signal with specific frequencies and intensities, uses confirmation data to verify the integrity of the payload signal, and ceases decoding if noise is detected to conserve resources and prevent missed signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the audio receiving device continuously decodes audio signals to ensure accurate data communication, then the reliability of signal reception is improved, but the consumption of power and computing resources increases
Solution Approach 1:
The system performs preliminary verification by comparing received audio signals against expected confirmation data before committing to full decoding. This preliminary check allows the device to avoid unnecessary decoding operations when signals are corrupted by noise, thereby conserving power and computing resources while maintaining reliable communication when signals are valid.
2Productivity
If the audio receiving device decodes all received signals to maintain communication readiness, then the responsiveness to subsequent signals is improved, but the processing time and resource consumption increase
Solution Approach 1:
The system extracts and verifies only the critical confirmation data portion of the audio signal before proceeding with full decoding. By separating the verification step from the complete decoding process, the device can quickly identify and discard corrupted signals without investing significant processing time, thus maintaining high throughput and reducing detection delays for subsequent valid signals.
3Measurement precision
If the audio receiving device uses confirmation data to verify signal integrity, then the measurement precision of signal recognition is improved, but the device complexity increases
Solution Approach 1:
The system implements a feedback mechanism where received audio signals are compared against expected confirmation data. This feedback loop provides precise verification of signal integrity by checking whether the decoded confirmation data matches the anticipated pattern, thereby improving recognition accuracy through a relatively simple comparative verification process rather than complex analysis.
Data Source
AI summary
Described are techniques for determining whether a received audio signal is corrupted or a product of noise, prior to decoding the entire signal. An emitted audio signal may include initialization data, which includes a predetermined sequence of symbols, and which precedes encoded payload data. Correspondence between the predetermined sequence of symbols and expected symbols stored as confirmation data may be determined. If the correspondence indicates a match, an audio receiver may continue decoding the audio signal to access the payload data. If the correspondence does not indicate a match, the audio receiver may cease decoding, which may conserve power, computing resources, and time, ensuring that subsequent audio signals are not missed while the audio receiver decodes a false or corrupted signal.