Energy-efficient, hands-free activation is becoming a “must have” feature in mobile devices, wearables, smart speakers, and many other battery-operated devices. Features such as voice control, gesture control, or face unlock demand an always-on user interface (UI) to be totally hands-free. While employing intensive signal-processing algorithms, such as those used for speech recognition and face detection, the supporting technology must consume very little power to conserve battery life.
Sensing is a key feature of smartphones, wearables, and IoT devices. The combined processing of sensory data from disparate sources, also known as sensor fusion, provides valuable contextual awareness for a host of user applications. Multiple MEMS sensors such as 9-Axis motion sensors, barometers, thermometers, and others call for a high-precision sensor fusion DSP to accurately and efficiently deduce motion and environmental data, and eliminate false readings.
The key to meeting these requirements is to choose a signal-processing IP that provides the following:
- A highly optimized arithmetic Instruction Set Architecture (ISA) and a rich control ISA that are efficiently utilized by the compiler as it handles sensor fusion software, which often mixes arithmetic and control code
- Ultra-low power consumption, enabling it to efficiently sustain always-on operation
- Minimal silicon area, which allows for very low leakage power and a cost-effective implementation
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