The recent explosion of sensors enable our environment to act in an intelligent way. These Intelligent Environments rely on sense making of the sensors’ data streams. This process starts with reliable signal processing in real-time. This is challenging due to i) the low energy and computing resources of edge devices, ii) the signals’ non-stationary nature, and iii) the variety in software and hardware. To tackle this triplet of challenges, we present a WebAssembly-based hardware and software independent fast Continuous Wavelet Transform (fCWT), which excels in processing non-stationary signals at low costs. The application shows to be 2x-5.5x faster than competitors on speech, electrocardiogram (ECG), and vibration signals, enabling reliable real-time processing on edge devices. This yields new opportunities for the creation of safe and reliable Intelligent Environments.
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