The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 28, 2016
Filed:
Mar. 26, 2014
Arm Limited, Cambridge, GB;
Dominic Hugo Symes, Cambridge, GB;
Tomas Edso, Lund, SE;
ARM Limited, Cambridge, GB;
Abstract
A data processing apparatus and method are provided for performing a transform between spatial and frequency domains when processing video data. The data processing apparatus comprises transform circuitry configured to receive N input values and to perform a sequence of operations to generate N output values representing the transform of the N input values between the spatial and frequency domains. In doing this, the transform circuitry employs a base circuitry that is configured to receive M internal input values generated by the transform circuitry, where M is greater than or equal to 4, and to perform a base operation equivalent to matrix multiplication of the M internal input values by a Hankel matrix, which is a square matrix with constant skew diagonals, where each element of the array identifies a coefficient, performance of the base operation generating M internal output values for returning to the transform circuitry. The transform circuitry is arranged during performance of the sequence of operations to generate from the N input values multiple sets of the M internal input values, to provide each set of M internal input values to the base circuitry in order to cause multiple sets of the M internal output values to be produced, and to derive the N output values from the multiple sets of M internal output values. It has been found that such an approach is scalable to accommodate varying sizes of N, results in a significant reduction in the number of multiplications required in order to perform the transform between the spatial and frequency domains of the N input values, and produces a bit exact result.