Fast algorithm for the computation of moment invariants
Pattern Recognition
Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Pascal triangle transform approach to the calculation of 3D moments
CVGIP: Graphical Models and Image Processing
A survey of moment-based techniques for unoccluded object representation and recognition
CVGIP: Graphical Models and Image Processing
An all adder systolic structure for fast computation of moments
Journal of VLSI Signal Processing Systems
An efficient CORDIC array structure for the implementation ofdiscrete cosine transform
IEEE Transactions on Signal Processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on system-level interconnect prediction (SLIP)
Fast DCT-I, DCT-III, and DCT-IV via moments
EURASIP Journal on Applied Signal Processing
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Discrete cosine transform (DCT) is widely used in signal processing.This paper presents a novel approach to perform DCT. DCT is expressed in terms of discrete moments via triangle function transforms and later Taylor series expansion. From this, a fast systolic array forcomputing moments is converted to compute DCT with only afew multiplications and without any cosine evaluations.The systolic array has advantages of pipelinability,regularity, modularity, local connectivity and scalability,thus making it to be very suitable for VLSIimplementation. We provide an estimate of therealizability of our array in a 0.5 μm CMOS technologyand comparisons with other methods. The execution time ofthe systolic array is only O(N \log_2 N/\log_2 \log_2N) in computing 1D N-point DCT if N is sufficiently large. The approach is also applicable to multiple dimensional DCT and DCTinverses.