A Feedforward Noise Reduction Technique in Capacitive MEMS Accelerometer Analog Front-End for Ultra-Low-Power IoT Applications.
Ippei AkitaTakayuki OkazawaYoshihiko KuruiAkira FujimotoTakashi AsanoPublished in: IEEE J. Solid State Circuits (2020)
Keyphrases
- noise reduction
- feed forward
- ultra low power
- low power
- analog to digital converter
- back propagation
- edge preserving
- signal to noise ratio
- neural nets
- artificial neural networks
- edge detection
- noise level
- recurrent neural networks
- median filter
- neural network
- noise removal
- high speed
- noisy environments
- activity recognition
- signal processing
- low cost
- hearing aids
- biologically plausible
- power consumption
- noise detection
- neural architecture
- edge enhancement
- wiener filter
- speech enhancement
- cmos image sensor
- adaptive neural
- impulse noise
- primate visual cortex
- image sensor
- visual cortex
- image processing
- genetic algorithm
- single chip
- recurrent networks
- impulsive noise
- fuzzy logic
- expert systems