most citedSignal Reconstruction Framework Based On Projections Onto Epigraph Set Of A Convex Cost Function (PESC)

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2017★ 2 cited

Energy Saving Additive Neural Network

Arman Afrasiyabi, Ozan Yildiz, Baris Nasir +2

In recent years, machine learning techniques based on neural networks for mobile computing become increasingly popular. Classical multi-layer neural networks require matrix multipl…

cs.CV2014

Classifying Fonts and Calligraphy Styles Using Complex Wavelet Transform

Alican Bozkurt, Pinar Duygulu, A. Enis Cetin

Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases. A generic font-rec…

cs.DS2014

Deconvolution Using Projections Onto The Epigraph Set of a Convex Cost Function

Mohammad Tofighi, Alican Bozkurt, A. Enis Cetin

A new deconvolution algorithm based on orthogonal projections onto the epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization pro…

math.OC2014★ 6 cited

Signal Reconstruction Framework Based On Projections Onto Epigraph Set Of A Convex Cost Function (PESC)

Mohammad Tofighi, Kivanc Kose, A. Enis Cetin

A new signal processing framework based on making orthogonal Projections onto the Epigraph Set of a Convex cost function (PESC) is developed. In this way it is possible to solve co…

cs.CC2014★ 1 cited

Approximate Computation of DFT without Performing Any Multiplications: Applications to Radar Signal Processing

Alican Bozkurt, Musa Tunç Arslan, Rasim Akin Sevimli +2

In many practical problems it is not necessary to compute the DFT in a perfect manner including some radar problems. In this article a new multiplication free algorithm for approxi…