Equation 1 · Part 2 · Comparing the Main Approaches to Edge AI Electronics and Sensor Systems
Symbol D
What this part means
the fraction of time spent actively computing.
Its job in the formula
D is one of the signed contributions combined to compute the quantity on the left.
Full expression→Symbol D→Article meaning
Where the article explains it
where D is the fraction of time spent actively computing and is the power drawn the rest of the time.
The passage around this formula
An always-on system’s design target is not peak throughput but the average power drawn between the (usually rare) events that matter, which can be written as a simple duty-cycle model: . where D is the fraction of time spent actively computing and is the power drawn the rest of the time. For a keyword detector or a vibration monitor, D is typically small and falling, so is dominated by almost regardless of how fast the active phase runs —…
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Sources cited in the article section
- [5] Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks ↗
- [11] Ethos-U55 microNPU ↗
- [17] Cadence Expands Tensilica IP Portfolio with New HiFi and Vision DSPs for Pervasive Intelligence and Edge AI Inference ↗
- [7] CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs ↗
- [8] TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems ↗
These citations provide research context; check each source for the exact claim it supports.