Singular value decomposition (SVD) image coding scheme using vector quantization technique. SVD vector quantization.
نویسندگان
چکیده
منابع مشابه
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Let A be an m × n matrix with m ≥ n. Then one form of the singular-value decomposition of A is A = UΣV, where U and V are orthogonal and Σ is square diagonal. That is, UUT = Irank(A), V V T = Irank(A), U is rank(A)×m, V is rank(A)× n and Σ = σ1 0 · · · 0 0 0 σ2 · · · 0 0 .. .. . . . .. .. 0 0 · · · σrank(A)−1 0 0 0 · · · 0 σrank(A) is a rank(A)× rank(A) diagonal matrix. In add...
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ژورنال
عنوان ژورنال: The Journal of the Institute of Television Engineers of Japan
سال: 1985
ISSN: 0386-6831,1884-9652
DOI: 10.3169/itej1978.39.876