2008
DOI: 10.1016/j.sigpro.2007.11.024
|View full text |Cite
|
Sign up to set email alerts
|

Type-IV DCT, DST, and MDCT algorithms with reduced numbers of arithmetic operations

Abstract: We present algorithms for the type-IV discrete cosine transform (DCT-IV) and discrete sine transform (DST-IV), as well as for the modified discrete cosine transform (MDCT) and its inverse, that achieve a lower count of real multiplications and additions than previously published algorithms, without sacrificing numerical accuracy. Asymptotically, the operation count is reduced from 2N log 2 N + O(N ) to 17 9 N log 2 N + O(N ) for a power-of-two transform size N , and the exact count is strictly lowered for all … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
17
0

Year Published

2009
2009
2020
2020

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 34 publications
(18 citation statements)
references
References 53 publications
1
17
0
Order By: Relevance
“…Therefore, we used the DCT, LDCT, and DST dictionaries for validations of EEG signal. The detailed significant differences in morphology of DCT and DST were given in past studies [ 56 , 57 ], while in our analysis there were no significant differences. The right combination of redundant transforms to form overcomplete dictionary revealed the desired decomposition in principle.…”
Section: Discussionsupporting
confidence: 47%
See 1 more Smart Citation
“…Therefore, we used the DCT, LDCT, and DST dictionaries for validations of EEG signal. The detailed significant differences in morphology of DCT and DST were given in past studies [ 56 , 57 ], while in our analysis there were no significant differences. The right combination of redundant transforms to form overcomplete dictionary revealed the desired decomposition in principle.…”
Section: Discussionsupporting
confidence: 47%
“…UDWT contributes to separating slow and bump morphologies for EOG and EEG transient slow changes, DST is for monomorphic and polymorphic EEG components (major EEG parts), and DIRAC is for spike type activities in transient EEGs. In comparison in the simulated experiment, we used the discrete cosine transform (DCT), discrete sine transform (DST) [ 56 , 57 ], and local discrete cosine transform (LDCT) dictionaries for major EEG parts. For the verification of the hypothesis, the intracranial EEG (iEEG) data was assumed to be “true EEG” signal, which was recorded from the real brain activity, and artificial EOGs including bump and slow changes were introduced and the performance of the accurate reconstruction of the true EEGs was examined.…”
Section: Hypothesismentioning
confidence: 99%
“…ζ is assumed to be negligible noise tend to zero. By using three dictionaries, undecimated wavelet transform (UDWT), local discrete cosine transform (LDCT), and Dirac (Kronecker basis) [39,45,46] in this work, coefficients are optimized as…”
Section: Morphological Component Analysismentioning
confidence: 99%
“…The DCT-IV and DST-IV have been computed using fast software algorithms with basically two approaches: the direct approach and the indirect one. In [11], a new algorithm for the efficient software implementation of type IV DCT using the indirect approach has been proposed. It is based on a new fast FFT algorithm that allows the reduction of the arithmetic complexity.…”
Section: Introductionmentioning
confidence: 99%