PURPOSE:To decrease the error of quantization and to execute arithmetic processing for searching at a high speed by using both a code book, which can be successively writable and readable, to successively store an input vector as a new quantization representative vector and a conventional code book and determining the quantization representative vector to give minimum distortion by this searching. CONSTITUTION:A learning type vector quantizer has a first code book 2 to be composed of the plural standard quantization representative vectors and a second code book 3 to be self-generated by successively storing the special input vector, which is extracted based on the minimum distortion, as the new quantization representative vector. Then, the special input vector is transmitted and the first and second code books 2 and 3 are respectively constituted in a tree structure. Namely, when the minimum distortion is larger than a set distortion threshold value, the input vector at such a time is transmitted, stored in the second code book 3 as the new quantization representative vector and utilized for following vector quantization processing. Thus, the arithmetic processing for searching can be executed at the high speed.
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