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Sensor Signal and Information Processing II
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DOI：10.3390/s20133751.png)
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Abstract
En 中文
This Special Issue compiles a set of innovative developments on the use of sensor signals and information processing. In particular, these contributions report original studies on a wide variety of sensor signals including wireless communication, machinery, ultrasound, imaging, and internet data, and information processing methodologies such as deep learning, machine learning, compressive sensing, and variational Bayesian. All these devices have one point in common: These algorithms have incorporated some form of computational intelligence as part of their core framework in problem solving. They have the capacity to generalize and discover knowledge for themselves, learning to learn new information whenever unseen data are captured.
Keywords:
sensors
phase arrays
signal processing
image processing
3D processing
deep learning
machine learning
compressive sensing
wireless communication
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