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Ali Akansu
Known as:
Akansu
Ali N. Akansu is a Turkish American scientist best known for his contributions to the theory and applications of sub-band and wavelet transforms.
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Related topics
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12 relations
Binomial QMF
Daubechies wavelet
Discrete Fourier transform
Financial signal processing
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2018
2018
Refinable vector splines and multi-wavelets with shortest matrix filters
Dinna Ranirina
2018
Corpus ID: 125832572
Re nable Vector Splines and Multi-wavelets with Shortest Matrix Filters D. Ranirina African Institute for Mathematical Sciences…
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2016
2016
Financial Signal Processing and Machine Learning: Akansu/Financial Signal Processing and Machine Learning
A. Akansu
,
S. Kulkarni
,
D. Malioutov
2016
Corpus ID: 63042718
2013
2013
Intravesical villous adenoma: A case report -
R. Aldabbas
2013
Corpus ID: 68244424
Villous adenomas are commonly mentioned as gastrointestinal tract pathological lesions but they are rarely presented as urinary…
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2011
2011
A new PAPR reduction scheme for OFDM signals based on GDFT signal processing theory
Huizhu Li
,
Songlin Sun
,
Xiaojun Jing
2011
Corpus ID: 63585740
Peak-to-average-power ratio (PAPR) is a key design concern of an orthogonal frequency division multiplexing (OFDM) system as it…
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Review
2006
Review
2006
An overview of scalar quantization based data hiding methods
H. Sencar
,
M. Ramkumar
,
A. Akansu
Signal Processing
2006
Corpus ID: 6731934
2004
2004
An image watermarking scheme using HVS characteristics and spread transform
S. Maity
,
M. Kundu
Proceedings of the 17th International Conference…
2004
Corpus ID: 12772371
The paper presents a robust digital image watermarking scheme that uses both the characteristics of the human visual system (HVS…
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2000
2000
Mobility-based channel reservation scheme for wireless mobile networks
Jiongkuan Hou
,
Yuguang Fang
,
A. Akansu
IEEE Wireless Communications and Networking…
2000
Corpus ID: 28302985
Channel reservation is a common solution to the call dropping problem in wireless cellular networks. We propose a predictive…
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1995
1995
Statistical evaluation of sequential morphological operations
M. A. Mohamed
,
J. Saniie
IEEE Transactions on Signal Processing
1995
Corpus ID: 206464720
In order to properly apply sequential morphological operations to random signals in applications concerned with noise suppression…
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1995
1995
Gradient-based adaptive algorithm with an optimum vector of convergence factors
M. Ghavami
,
W. Rupprecht
,
S. Nader-Esfahani
IEEE Transactions on Signal Processing
1995
Corpus ID: 40452538
An alternative perspective of adaptive filtering by way of optimization theory is presented. We derive an optimum vector of…
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1994
1994
On the prime factor decomposition algorithm for the discrete sine transform
Dulal C. Kar
,
V. Rao
IEEE Transactions on Signal Processing
1994
Corpus ID: 206464240
Presents a fast algorithm for computing the discrete sine transform (DST) when the transform size N is decomposable into mutually…
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