| 摘要 |
Mathematical calculation processing is executed at a high speed for an input signal of image information or the like. Weight coefficients corresponding to a DCT (discrete cosine transform) are set in a neural network NN of an n-layer structure including an input layer I1, (an intermediate layer H1) and an output layer O1. The input layer I1 is constituted from a number of input interfaces equal to the number of picture elements included in a block 12, and the output layer O1 is constituted from a number of neurons equal to the number of DCT coefficients to be outputted. When input information of the block 12 is inputted to the neural network NN, DCT coefficients a(0) to a(63) which are results of DCT processing of the image information are outputted immediately. The weight coefficient is determined by learning using, as teacher data, DCT coefficients obtained by actual mathematical calculation of the same image information as that inputted to the neural network NN by a DCT transform section.
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