Machine Learning for Signal Processing

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[Example of the convolutional neural network for radar]

Machine learning is a new paradigm for solving detection problems. Unlike the classical hypothesis test based on known probabilistic characteristics, machine learning solves the detection or hypothesis problems using excessive dataset. The above figure shows an example of the convolutional neural network (CNN) for radar to detect the target type. The concept of deep learning based on this CNN enables us to implement very feasible classifier for solving the detection problem with significantly improved accuracy compared with the classical approaches. AiSLab studies machine learning algorithm and theory for signal processing such as wireless communications, radar, and computer vision.

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