Demo Data from EDBT 2026 / reviewers in the wild / expert
Mythreya Jayendra-Lakshman
dblp:38/10810
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
2 papers |
Audio and music processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing
audio coding |
0.3 | 2 | 2014 | Fast algorithms for low-delay TDAC filterbanks in MPEG-4 AAC-ELD · IEEE ACM Trans. Audio Speech Lang. Process. 2014 Fast Algorithms for Low-Delay SBR Filterbanks in MPEG-4 AAC-ELD · IEEE Trans. Speech Audio Process. 2012 |
Audio and music processing › audio coding
low-delay audio coding |
0.1 | 2 | 2014 | Fast algorithms for low-delay TDAC filterbanks in MPEG-4 AAC-ELD · IEEE ACM Trans. Audio Speech Lang. Process. 2014 Fast Algorithms for Low-Delay SBR Filterbanks in MPEG-4 AAC-ELD · IEEE Trans. Speech Audio Process. 2012 |
Methods — techniques the papers use, named apart from their topics
modified discrete cosine transform · 0.2fast factorization · 0.2discrete cosine transform type II · 0.2fast filterbank algorithms · 0.1discrete cosine transform · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Fast algorithms for low-delay TDAC filterbanks in MPEG-4 AAC-ELDabstractThe MPEG committee has completed development of a new audio coding standard called “MPEG-4 advanced audio coding-enhanced low delay” (AAC-ELD). AAC-ELD uses low delay spectral band replication (LD-SBR) technology together with a low delay time domain alias cancellation (LD TDAC) filterbank in the encoder to achieve both high coding efficiency and low algorithmic delay. In this paper, we present fast algorithms for implementing LD-TDAC filterbanks in AAC-ELD. Two types of fast algorithms are presented. In the first, we map LD-TDAC analysis and synthesis filterbanks to modified discrete cosine transform (MDCT) and inverse modified discrete cosine transform (IMDCT), respectively. Since MDCT/IMDCT are already extensively used in AAC and they have many fast algorithms, this mapping not only provides a fast implementation but also allows a common implementation of the filterbanks in AAC Low Complexity (AAC-LC), AAC Low Delay (AAC-LD) and AAC-ELD codecs. In the second algorithm, we provide a mapping to discrete Cosine transform of type II. The mapping to DCT-II allows the merger of the matrix operations with the windowing stage that precedes or follows them. This further reduces the number of multiplications and leads to an algorithm with the lowest known arithmetic complexity. For filterbanks of lengths 1024 and 960, we also present a new fast factorization of 15-point DCT-II that requires only 14 irrational multiplications, 3 dyadic rational multiplications and 67 additions. Ravi K. Chivukula, Yuriy A. Reznik, Yanyan Hu, Venkat Devarajan, Mythreya Jayendra-Lakshman |
IEEE ACM Trans. Audio Speech Lang. Process. | 5 |
| 2012 | Fast Algorithms for Low-Delay SBR Filterbanks in MPEG-4 AAC-ELDabstractThe MPEG committee has recently completed development of a new audio coding standard “MPEG-4 Advanced Audio Coding-Enhanced Low Delay” (AAC-ELD). AAC-ELD is targeted towards high-quality, full-duplex communication applications such as audio and video conferencing. AAC-ELD uses low delay spectral band replication (LD-SBR) technology together with a low delay AAC core encoder to achieve high coding efficiency and low algorithmic delays. In this paper, we present fast algorithms for computing LD-SBR filterbanks in AAC-ELD. The proposed algorithms map complex exponential modulation portion of the filterbanks to discrete cosine transforms of types IV and II. Our proposed mapping also allows to merge some multiplications with the windowing stage that precedes or succeeds the modulation step. This further reduces computational complexity. Our presentation includes detailed explanation and flow-graphs of the algorithms, complexity analysis, and comparisons with alternative implementations. Ravi K. Chivukula, Yuriy A. Reznik, Venkat Devarajan, Mythreya Jayendra-Lakshman |
IEEE Trans. Speech Audio Process. | 4 |