2012
DOI: 10.1109/tsp.2012.2217139
|View full text |Cite
|
Sign up to set email alerts
|

A Fast Design Method for Perfect-Reconstruction Uniform Cosine-Modulated Filter Banks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
6
0

Year Published

2013
2013
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 18 publications
(6 citation statements)
references
References 18 publications
0
6
0
Order By: Relevance
“…Step 6: Cond_b is satisfied, check for transition point with amplitude distortion/aliasing error using (11) or (12).…”
Section: Condition_a_1: φ(I + 1) Th Iteration ≤ φ(I) Th Iterationmentioning
confidence: 99%
See 1 more Smart Citation
“…Step 6: Cond_b is satisfied, check for transition point with amplitude distortion/aliasing error using (11) or (12).…”
Section: Condition_a_1: φ(I + 1) Th Iteration ≤ φ(I) Th Iterationmentioning
confidence: 99%
“…The samples in the transition band are optimized by frequency sampling in [10]. Some of the other approaches are second order cone programming [12], [13] and filter designs based on gradient information [14], [15]. But in most of the existing methods, a fixed filter order and an arbitrary step size are considered.…”
Section: Introductionmentioning
confidence: 99%
“…We designed a 16-channel uniform CMFB using the technique proposed by Doblinger [33]. The filter order is set to 383, which yields a stopband attenuation of dB.…”
Section: A Simulationsmentioning
confidence: 99%
“…Due to the LP property of p(n) and the conditions (20), the number of free parameters for optimization is one quarter of the number of filter coefficients. This optimization problem has been studied extensively and can be solved by many available algorithms, such as the spectral factorization method [23], second-order cone-programming approach [25], and iterative quadratic programming algorithm [26]. For simplicity, in our simulation we employ the nonlinear optimization function 'fmincon' in MATLAB to perform it.…”
Section: B Reconstruction Performancementioning
confidence: 99%
“…M, but not as in (26). Table II displays the comparison results of energy ratios of DTCWP, DOECFB and DTCMFB.…”
Section: B Test Of Shift-invariancementioning
confidence: 99%