Plt versus Klt
نویسندگان
چکیده
In this paper a new class of transforms named Predictionbased Lower triangular Transform (PLT) is introduced for signal compression. The PLT is a nonunitary transform that yields the same coding gain as the Kahunen-Loeve transform (KLT). Unlike KLT, the derivation of PLT does not involve any eigen problem. An M-dimensional PLT can be solved by Levinson-Durbin recursion formula in O ( M 2 ) . Moreover the complexity of PLT is less than one half of KLT. For AR( 1) inputs, the PLT has a closed form expression and needs only ( M 1) multiplications.
منابع مشابه
Prediction-based lower triangular transform
In this paper, a new nonunitary transform called the prediction-based lower triangular transform (PLT) is introduced for signal compression. The new transform has the same decorrelation property as the Kahurnen–Loeve transform (KLT), but its implementational cost is less than one half of KLT. Compared with the KLT, the design cost of an PLT is much lower and is only of the order of ( ). Moreove...
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