Contributions to the design and application of integrated spiking multi-sensor electronics with self-X properties for future robust integrated intelligent systems
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Beschreibung
Abstract
The rapid evolution of micro and nano-scale technologies has propelled advancements
in sensory systems, driving their adoption across IoT, Industry 4.0, autonomous vehic-
les, healthcare, and robotics. However, conventional amplitude-based sensory systems
struggle with adaptability, energy efficiency, and reliable performance under fluctuating
environmental and operational conditions. This thesis introduces a Neuromorphic Adap-
tive Spiking Analog-Front-End with Self-X Capabilities for Sensors (SAFEX), offering a
novel and comprehensive design inspired by neuromorphic principles to overcome these
limitations.
The proposed system combines two key components: the Adaptive Sensor Signal-to-
Spike Converter (ASSC) and the Self-Adaptive Spike-to-Digital Converter (SA-SDC),
working in tandem to deliver a highly flexible and efficient sensory interface. The AS-
SC transforms analog signals into spike timings, employing adjustable synaptic weights
to ensure alignment of the sensor’s input span with subsequent processing stages. This
design eliminates the need for external level-shifting and amplification circuits, streamli-
ning the signal-conditioning process. By leveraging the time domain for signal processing,
the ASSC achieves a compact and adaptive implementation suitable for a variety of ope-
rating conditions. The transfer function of the ASSC was obtained using measurement
processes for various gains. Adjustments in gain extended the duration of the ASSC,
increasing the number of bits resolved by the SA-SDC to 11.98 bits. An offset of 77.6
LSB was observed in the transfer function due to specific synapse weights, which was
rectified through synaptic weight adjustments.
Autor*in
Hamam Abd
Themen in »Contributions to the design and application of integrated spiking multi-sensor electronics with self-X properties for future robust integrated intelligent systems«
Neuromorphic spiking sensory system self-X adaptive spiking sensory systems