Sectioned Convolution SCDWT
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22.08.2015
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SCDWT
- Page 1 and 2: Sectioned ConvolutionandSCDWT N.C
- Page 4: i. Abstractii. Sectioned Convolutio
- Page 7 and 8: how to perform the“ convolution
- Page 9 and 10: Here is a problem.....
- Page 11 and 12: Signal LengthN + M - 1Filter Length
- Page 13 and 14: MultsAddsRadix - 2 N/2 log2N N log2
- Page 15 and 16: we split the input signal intosecti
- Page 17 and 18: x0[n]M-1Lnx1[n]M-1nL
- Page 19 and 20: what is the advantage ofoverlap-sav
- Page 21 and 22: ii. it does not increase thesystem
- Page 23 and 24: The complexity of sectionedconvolut
- Page 25 and 26: what is the advantage ofsectioned c
- Page 28: ii. Saving Time
- Page 32 and 33: The Complexity of Sectioned Convolu
- Page 34: i. Saving Energyii.Saving Timeiii.B
- Page 39 and 40: 1-Dimension DWTkj1/2 kj1/2 kj-1LP g
- Page 41: The Complexity of 1-Dimension SCDWT
- Page 45 and 46: The Complexity of 1-Dimension EISCD
- Page 47: Fixed Hardware Architecture
- Page 50 and 51: 1/2 pj-1 pj 1/2 pj1/2 kj-1 1/2 kj-1
- Page 52 and 53: 1/2 kj-1 times1/2 pj-1L-point FFT w
- Page 57 and 58: Efficiency Comparison of 1-D DWTInp
- Page 59 and 60: Efficiency Comparison of 1-D DWTFil
- Page 62 and 63: Conclusion and Future Work
- Page 64 and 65: Reference[1] Gerard P. M. Egelmeers
<strong>SCDWT</strong>
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