Machine learning and signal processing design for edge acoustic applications

Credit: Emad Ibrahim

Edge computing is an architecture in which data and processing are placed as close as possible to end users. In cloud computing, in contrast, the computations happen in centralized data storage and processing units in which algorithms enjoy the luxury of complex computations. Edge computing decentralizes such computations for reasons of privacy, latency, or energy efficiency. For his Ph.D. thesis, Emad Ibrahim used methods and practices from digital signal processing and machine learning to generate new solutions hosted on edge platforms.

Applications hosted on an edge platform require resource-aware strategies to fit a certain algorithm in …

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