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AUTHOR(S): Luigi Bianchi
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ABSTRACT Many embedded and asynchronous systems, including EEG/ERP acquisition hardware, rely on a single digital input channel for external event signaling—limiting the ability to differentiate between multiple stimuli or commands. This paper presents a novel temporal encoding scheme that enables the transmission of multiple distinguishable codes through a single digital input using the timing differentials between three consecutive pulses. Each triplet encodes data across three derived intervals (T₁, T₂, and T₂–T₁), allowing accurate event identification without the need for synchronization or additional hardware channels. The method is robust to single-pulse loss, requires minimal processing for real-time decoding, and is easily adaptable to systems with limited I/O capacity. A lookup-based decoding algorithm is introduced, supported by a timing table that guarantees code uniqueness. While originally motivated by constraints in cognitive neuroscience setups, the approach broadly applies to low-power embedded systems, asynchronous event-triggered architectures, and control environments requiring minimal interfacing and high reliability. |
KEYWORDS Temporal encoding, Event transmission, Asynchronous systems, Digital signal control, Pulse interval coding, Low-resource communication, EEG/ERP synchronization |
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Cite this paper Luigi Bianchi. (2025) Robust Temporal Interval Encoding for Event Identification in Asynchronous Single-Line Trigger Systems. International Journal of Circuits and Electronics, 10, 46-54 |
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