| The discrete fractional Fourier transform C Candan, MA Kutay, HM Ozaktas IEEE Transactions on signal processing 48 (5), 1329-1337, 2000 | 809 | 2000 |
| A method for fine resolution frequency estimation from three DFT samples Ç Candan IEEE Signal processing letters 18 (6), 351-354, 2011 | 267 | 2011 |
| Digital computation of linear canonical transforms A Koc, HM Ozaktas, C Candan, MA Kutay IEEE Transactions on Signal Processing 56 (6), 2383-2394, 2008 | 167 | 2008 |
| Analysis and further improvement of fine resolution frequency estimation method from three DFT samples Ç Candan IEEE Signal Processing Letters 20 (9), 913-916, 2013 | 142 | 2013 |
| Sampling and series expansion theorems for fractional Fourier and other transforms Ç Candan, HM Ozaktas Signal Processing 83 (11), 2455-2457, 2003 | 88 | 2003 |
| The discrete harmonic oscillator, Harper's equation, and the discrete fractional Fourier transform L Barker, C Candan, T Hakioglu, MA Kutay, HM Ozaktas Journal of Physics A: Mathematical and General 33 (11), 2209, 2000 | 77 | 2000 |
| On higher order approximations for Hermite–Gaussian functions and discrete fractional Fourier transforms Ç Candan IEEE Signal Processing Letters 14 (10), 699-702, 2007 | 72 | 2007 |
| Fine resolution frequency estimation from three DFT samples: Case of windowed data Ç Candan Signal Processing 114, 245-250, 2015 | 70 | 2015 |
| An efficient filtering structure for Lagrange interpolation Ç Candan IEEE Signal Processing Letters 14 (1), 2007 | 69 | 2007 |
| A unified framework for derivation and implementation of Savitzky–Golay filters Ç Candan, H Inan Signal Processing 104, 203-211, 2014 | 49 | 2014 |
| Space–bandwidth-efficient realizations of linear systems MA Kutay, MF Erden, HM Ozaktas, O Arıkan, Ö Güleryüz, Ç Candan Optics letters 23 (14), 1069-1071, 1998 | 39 | 1998 |
| A fine-resolution frequency estimator using an arbitrary number of DFT coefficients U Orguner, Ç Candan Signal processing 105, 17-21, 2014 | 32 | 2014 |
| Classification of human motion using radar micro-Doppler signatures with hidden Markov models MO Padar, AE Ertan, Ç ĝatay Candan 2016 IEEE Radar Conference (RadarConf), 1-6, 2016 | 24 | 2016 |
| On the eigenstructure of DFT matrices [DSP education] Ç Candan IEEE Signal Processing Magazine 28 (2), 105-108, 2011 | 19 | 2011 |
| CFAR processing with switching exponential smoothers for nonhomogeneous environments B Gurakan, Ç Candan, T Çiloğlu Digital Signal Processing 22 (3), 407-416, 2012 | 15 | 2012 |
| On the design of mismatched filters with an adjustable matched filtering loss C Candan 2010 IEEE Radar Conference, 1311-1316, 2010 | 15 | 2010 |
| Cost-efficient approximation of linear systems with repeated and multi-channel filtering configurations MA Kutay, MF Erden, HM Ozaktas, O Arikan, C Candan, O Guleryuz Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998 | 12 | 1998 |
| Making linear prediction perform like maximum likelihood in Gaussian autoregressive model parameter estimation Ç Candan Signal Processing 166, 107256, 2020 | 11 | 2020 |
| On generalized eigenvector space for target detection in reduced dimensions GM Güvensen, C Candan, S Koç, U Orguner 2015 IEEE Radar Conference (RadarCon), 1316-1321, 2015 | 11 | 2015 |
| A new interpretation of data hiding capacity C Candan, N Jayant 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 11 | 2001 |
Umut OrgunerMiddle East Technical University, Dept. of Electrical and Electronics Engineering, Ankara, TurkeyVerified email at metu.edu.tr
