Signal processing device and method which learn a prediction coefficient by least-nth-power error minimization of student teacher data error to detect a telop within image signals which are input signals by selectively outputting input signals following decision of the processing deciding means

Abstract

The present invention relates to a signal processing device which learns operations made by a user without the user knowing, and which can perform processing optimal to the user based on the learning results. At a learning unit, operating signals supplied according to user operations are monitored, and judgment is made whether or not these can be used for learning. In the event that the operating signals are learning operating signals which can be used for learning, the learning unitlearns a correction norm which is the norm for correcting input signals, based on the learning operating signals. On the other hand, at a correcting unit, post-correction signals, wherein the input signals are corrected based on the correction norm obtained by learning, are output as output signals. The present invention can be applied to an NR (Noise Reduction) circuit which removes noise.