Intel Corporation

Baruch Nissenbaum

Benny Eitan

Meir Feder

A computer system for performing an efficient inverse Discrete Fourier Transform (iDCT) is described. Single Instruction Multiple Data (SIMD) instructions are performed concurrently on a plurality of fixed-point data stored in multimedia registers. Operations on fixed-point data can be performed more quickly than corresponding floating-point operations. Throughout the processing of the iDCT, the fixed-point data are carefully shifted to retain the most significant bits and thereby preserve the accuracy of the multimedia operations. The initial step of transposing the matrix of multimedia data is accomplished while the data is collected to further improve efficiency. Moreover, the step of transposing the matrix of data is broken down into a series of smaller transpositions, depending on the amount of data on which the processor can operate at the same time.

Computer system performing an inverse cosine transfer function for use

A method for performing an efficient inverse Discrete Fourier Transform (iDCT) is described. Single Instruction Multiple Data (SIMD) instructions are performed concurrently on a plurality of fixed-point data stored in multimedia registers. Operations on fixed-point data can be performed more quickly than corresponding floating-point operations. Throughout the processing of the iDCT, the fixed-point data are carefully shifted to retain the most significant bits and thereby preserve the accuracy of the mulitmedia operations. The iDCT step of transposing the matrix of multimedia data is accomplished while the data is collected to further improve efficiency. Moreover, the step of transposing the matrix of data is broken down into a series of smaller transpositions, depending on the amount of data which the processor can operate on at the same time.

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Ramat Gan, Israel

Baruch Nissenbaum