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Milos Dakovic
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2020 – today
- 2024
- [j51]Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Fatemeh Zarei, Ljubisa Stankovic
:
The Schur decomposition of discrete Sine and Cosine transformations of type IV. Digit. Signal Process. 144: 104260 (2024) - [j50]Zhenpeng Feng
, Hongbing Ji, Milos Dakovic
, Xiyang Cui, Mingzhe Zhu
, Ljubisa Stankovic
:
Cluster-CAM: Cluster-weighted visual interpretation of CNNs' decision in image classification. Neural Networks 178: 106473 (2024) - [j49]Ali Bagheri Bardi
, Milos Dakovic
, Taher Yazdanpanah
, Ljubisa Stankovic
:
Eigenvalues of symmetric non-normalized discrete trigonometric transforms. Signal Process. 218: 109379 (2024) - [i20]Ali Bagheri Bardi, Taher Yazdanpanah, Milos Dakovic, Ljubisa Stankovic:
Graph Fourier Transform Enhancement through Envelope Extensions. CoRR abs/2407.19934 (2024) - 2023
- [j48]Bruno Scalzo, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic
:
A class of doubly stochastic shift operators for random graph signals and their boundedness. Neural Networks 158: 83-88 (2023) - [j47]Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Mingzhe Zhu, Ljubisa Stankovic:
Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition. Neural Networks 165: 982-986 (2023) - [j46]Zhenpeng Feng
, Milos Dakovic
, Hongbing Ji, Xianda Zhou, Mingzhe Zhu
, Xiyang Cui, Ljubisa Stankovic
:
Interpretation of Latent Codes in InfoGAN with SAR Images. Remote. Sens. 15(5): 1254 (2023) - [i19]Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Xiyang Cui, Mingzhe Zhu, Ljubisa Stankovic:
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification. CoRR abs/2302.01642 (2023) - [i18]Ljubisa Stankovic, Milos Dakovic, Ali Bagheri Bardi, Milos Brajovic, Isidora Stankovic:
Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding. CoRR abs/2311.01073 (2023) - 2022
- [j45]Isidora Stankovic
, Milos Brajovic, Jonatan Lerga, Milos Dakovic, Ljubisa Stankovic:
Image denoising using RANSAC and compressive sensing. Multim. Tools Appl. 81(30): 44311-44333 (2022) - [i17]Zhenpeng Feng, Milos Dakovic, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic:
Analytical Interpretation of Latent Codes in InfoGAN with SAR Images. CoRR abs/2205.13294 (2022) - 2021
- [j44]Ljubisa Stankovic
, Milos Brajovic, Isidora Stankovic, Jonatan Lerga, Milos Dakovic
:
RANSAC-Based Signal Denoising Using Compressive Sensing. Circuits Syst. Signal Process. 40(8): 3907-3928 (2021) - [j43]Ljubisa Stankovic
, Milos Brajovic, Isidora Stankovic, Cornel Ioana
, Milos Dakovic
:
Reconstruction Error in Nonuniformly Sampled Approximately Sparse Signals. IEEE Geosci. Remote. Sens. Lett. 18(1): 28-32 (2021) - [j42]Milos Brajovic
, Isidora Stankovic, Milos Dakovic
, Ljubisa Stankovic:
The DCT domain sparsity-assisted detection and recovery of impulsively disturbed samples. Multim. Tools Appl. 80(4): 6221-6234 (2021) - [j41]Ljubisa Stankovic
, Milos Brajovic, Danilo P. Mandic
, Isidora Stankovic
, Milos Dakovic
:
Improved Coherence Index-Based Bound in Compressive Sensing. IEEE Signal Process. Lett. 28: 1110-1114 (2021) - [c43]Vladimir Gazivoda, Luka Filipovic, Milos Dakovic:
Comparative Analysis of Regression and Neural Network Models on Students' Grades. MECO 2021: 1-4 - [i16]Ljubisa Stankovic, Milos Brajovic, Danilo P. Mandic, Isidora Stankovic, Milos Dakovic:
Improved Coherence Index-Based Bound in Compressive Sensing. CoRR abs/2103.06804 (2021) - 2020
- [j40]Isidora Stankovic
, Milos Brajovic, Milos Dakovic
, Cornel Ioana, Ljubisa Stankovic
:
Quantization in Compressive Sensing: A Signal Processing Approach. IEEE Access 8: 50611-50625 (2020) - [j39]Milos Brajovic
, Ljubisa Stankovic, Milos Dakovic
:
Decomposition of multichannel multicomponent nonstationary signals by combining the eigenvectors of autocorrelation matrix using genetic algorithm. Digit. Signal Process. 102: 102738 (2020) - [j38]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic
, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-frequency graph signal processing: A comprehensive review. Digit. Signal Process. 107: 102802 (2020) - [j37]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic
, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part I: Graphs and Spectra on Graphs. Found. Trends Mach. Learn. 13(1): 1-157 (2020) - [j36]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic
, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part II: Signals on Graphs. Found. Trends Mach. Learn. 13(2-3): 158-331 (2020) - [j35]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic
, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications. Found. Trends Mach. Learn. 13(4): 332-530 (2020) - [j34]Stefan Vujovic
, Andjela Draganic, Maja Lakicevic Zaric, Irena Orovic
, Milos Dakovic
, Marko Beko, Srdjan S. Stankovic:
Sparse Analyzer Tool for Biomedical Signals. Sensors 20(9): 2602 (2020) - [j33]Ljubisa Stankovic
, Milos Brajovic
, Milos Dakovic
, Danilo P. Mandic:
On the decomposition of multichannel nonstationary multicomponent signals. Signal Process. 167 (2020) - [j32]Isidora Stankovic, Milos Brajovic, Milos Dakovic
, Cornel Ioana, Ljubisa Stankovic:
Bit-depth quantization and reconstruction error in digital images. Signal Image Video Process. 14(8): 1545-1553 (2020) - [j31]Ljubisa Stankovic
, Danilo P. Mandic
, Milos Dakovic
, Ilya Kisil:
Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]. IEEE Signal Process. Mag. 37(1): 152-162 (2020) - [c42]Ljubisa Stankovic, Milos Dakovic
, Danilo P. Mandic, Milos Brajovic, Bruno Scalzo Dees, Anthony G. Constantinides:
A Low-Dimensionality Method for Data-Driven Graph Learning. ICASSP 2020: 5340-5344 - [c41]Isidora Stankovic, Milos Brajovic, Milos Dakovic, Ljubisa Stankovic, Cornel Ioana:
Quantization Effect in Nonuniform Nonsparse Signal Reconstruction. MECO 2020: 1-4 - [i15]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications. CoRR abs/2001.00426 (2020) - [i14]Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Jonatan Lerga, Milos Dakovic:
RANSAC-Based Signal Denoising Using Compressive Sensing. CoRR abs/2003.12289 (2020)
2010 – 2019
- 2019
- [j30]Ljubisa Stankovic, Ervin Sejdic, Srdjan Stankovic, Milos Dakovic, Irena Orovic
:
A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing. Circuits Syst. Signal Process. 38(3): 1206-1263 (2019) - [j29]Ljubisa Stankovic
, Milos Dakovic
:
Compressive Sensing Inspired Multivariate Median. Circuits Syst. Signal Process. 38(5): 2369-2379 (2019) - [j28]Ljubisa Stankovic
, Danilo P. Mandic
, Milos Dakovic
, Ilia Kisil, Ervin Sejdic
, Anthony G. Constantinides:
Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes]. IEEE Signal Process. Mag. 36(6): 133-145 (2019) - [c40]Isidora Stankovic, Cornel Ioana
, Milos Brajovic, Milos Dakovic, Ljubisa Stankovic:
Time-Varying Cross-Range in Wideband Sonar Imaging. ISPA 2019: 318-323 - [c39]Milos Brajovic, Isidora Stankovic, Ljubisa Stankovic, Milos Dakovic:
Decomposition of Two-Component Multivariate Signals with Overlapped Domains of Support. ISPA 2019: 324-328 - [c38]Nicoletta Saulig, Jonatan Lerga
, Zlatko Baracskai, Milos Dakovic:
Adaptive Thresholding in Extracting Useful Information From Noisy Time- Frequency Distributions. ISPA 2019: 329-334 - [c37]Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana
:
Gradient-Descent Algorithm Performance With Reduced Set of Quantized Measurements. MECO 2019: 1-4 - [i13]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil:
An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing. CoRR abs/1903.11136 (2019) - [i12]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
On the Decomposition of Multivariate Nonstationary Multicomponent Signals. CoRR abs/1904.00403 (2019) - [i11]Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic:
Quantization in Compressive Sensing: A Signal Processing Approach. CoRR abs/1907.01078 (2019) - [i10]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo Dees, Tony Constantinides:
Graph Signal Processing - Part I: Graphs, Graph Spectra, and Spectral Clustering. CoRR abs/1907.03467 (2019) - [i9]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-Frequency Graph Signal Processing. CoRR abs/1907.03471 (2019) - [i8]Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
A Unifying Analysis of Shift Operators on a Graph. CoRR abs/1908.01596 (2019) - [i7]Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
Unitary Shift Operators on a Graph. CoRR abs/1909.05767 (2019) - [i6]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Anthony G. Constantinides:
Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs. CoRR abs/1909.10325 (2019) - 2018
- [j27]Isidora Stankovic, Milos Dakovic
, Cornel Ioana
:
Decomposition and analysis of signals sparse in the dual polynomial Fourier transform. Microprocess. Microsystems 63: 209-215 (2018) - [j26]Isidora Stankovic, Irena Orovic
, Milos Dakovic, Srdjan Stankovic:
Denoising of sparse images in impulsive disturbance environment. Multim. Tools Appl. 77(5): 5885-5905 (2018) - [j25]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic:
Time-frequency decomposition of multivariate multicomponent signals. Signal Process. 142: 468-479 (2018) - [j24]Isidora Stankovic, Cornel Ioana
, Milos Dakovic:
On the reconstruction of nonsparse time-frequency signals with sparsity constraint from a reduced set of samples. Signal Process. 142: 480-484 (2018) - [j23]Ljubisa Stankovic
, Ervin Sejdic
, Milos Dakovic
:
Vertex-Frequency Energy Distributions. IEEE Signal Process. Lett. 25(3): 358-362 (2018) - [j22]Ljubisa Stankovic
, Ervin Sejdic
, Milos Dakovic
:
Reduced Interference Vertex-Frequency Distributions. IEEE Signal Process. Lett. 25(9): 1393-1397 (2018) - [j21]Milos Brajovic, Irena Orovic
, Milos Dakovic
, Srdjan Stankovic:
Compressive Sensing of Sparse Signals in the Hermite Transform Basis. IEEE Trans. Aerosp. Electron. Syst. 54(2): 950-967 (2018) - [c36]Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana:
Effect of Random Sampling on Noisy Nonsparse Signals in Time-Frequency Analysis. EUSIPCO 2018: 480-483 - [c35]Marko C. Boskovic
, Milan R. Rapaic, Tomislav B. Sekara, Petar D. Mandic
, Mihailo P. Lazarevic, Bosko Cvetkovic, Budimir Lutovac
, Milos Dakovic:
On the rational representation of fractional order lead compensator using Padé approximation. MECO 2018: 1-4 - [c34]Milos Brajovic, Ljubisa Stankovic, Milos Dakovic
, Danilo P. Mandic:
Additive noise influence on the bivariate two-component signal decomposition. MECO 2018: 1-4 - [c33]Isidora Stankovic, Igor Djurovic, Milos Dakovic
:
Adaptive average BM3D filter for reconstruction of images with combined noise. MECO 2018: 1-4 - [c32]Isidora Stankovic, Cornel Ioana
, Milos Dakovic
, Ion Candel:
Sparse signal reconstruction in dual polynomial Fourier transform. MECO 2018: 1-4 - 2017
- [j20]Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic
:
Reconstruction of Sparse Signals in Impulsive Disturbance Environments. Circuits Syst. Signal Process. 36(2): 767-794 (2017) - [j19]Ljubisa Stankovic
, Milos Dakovic
, Isidora Stankovic, Stefan Vujovic
:
On the Errors in Randomly Sampled Nonsparse Signals Reconstructed With a Sparsity Assumption. IEEE Geosci. Remote. Sens. Lett. 14(12): 2453-2456 (2017) - [j18]Budimir Lutovac
, Milos Dakovic, Srdjan Stankovic, Irena Orovic
:
An algorithm for robust image watermarking based on the DCT and Zernike moments. Multim. Tools Appl. 76(22): 23333-23352 (2017) - [j17]Milos Brajovic, Irena Orovic
, Milos Dakovic, Srdjan Stankovic:
On the parameterization of Hermite transform with application to the compression of QRS complexes. Signal Process. 131: 113-119 (2017) - [j16]Ljubisa Stankovic
, Milos Dakovic, Ervin Sejdic
:
Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components [Lecture Notes]. IEEE Signal Process. Mag. 34(4): 176-182 (2017) - [c31]Milos Dakovic, Ljubisa Stankovic, Budimir Lutovac
, Isidora Stankovic:
On the fixed-point rounding in the DFT. EUROCON 2017: 261-264 - [c30]Milos Brajovic, Irena Orovic
, Milos Dakovic, Srdjan Stankovic:
The reconstruction of 2D sparse signals by exploiting transform coefficients variances. EUROCON 2017: 282-286 - [c29]Srdjan Stankovic, Stefan Vujovic
, Irena Orovic
, Milos Dakovic, Ljubisa Stankovic:
Combination of gradient based and single iteration reconstruction algorithms for sparse signals. EUROCON 2017: 292-296 - [c28]Milos Dakovic, Ljubisa Stankovic, Ervin Sejdic:
Windowing methods for graph signal localization. DSP 2017: 1-5 - [c27]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
Two-component bivariate signal decomposition based on time-frequency analysis. DSP 2017: 1-5 - [c26]Isidora Stankovic, Milos Dakovic, Cornel Ioana:
Time-frequency signal reconstruction of nonsparse audio signals. DSP 2017: 1-5 - [c25]Marko C. Boskovic
, Tomislav B. Sekara
, Budimir Lutovac
, Milos Dakovic, Petar D. Mandic
, Mihailo P. Lazarevic
:
Analysis of electrical circuits including fractional order elements. MECO 2017: 1-6 - [c24]Milos Dakovic, Ljubisa Stankovic, Budimir Lutovac
, Ervin Sejdic, Tomislav B. Sekara
:
A resistive circuits analysis using graph spectral decomposition. MECO 2017: 1-4 - [c23]Isidora Stankovic, Milos Dakovic, Cornel Ioana:
Decomposition of signals in dispersive channels using dual polynomial fourier transform. MECO 2017: 1-4 - [c22]Isidora Stankovic, Milos Dakovic, Irena Orovic
:
Overlapping blocks in reconstruction of sparse images. MIPRO 2017: 478-481 - [c21]Milos Dakovic, Isidora Stankovic, Milos Brajovic, Ljubisa Stankovic:
Sparse signal reconstruction based on random search procedure. MIPRO 2017: 482-485 - [i5]Ljubisa Stankovic, Milos Dakovic, Srdjan Stankovic, Irena Orovic:
Conditions for Unique Reconstruction of Sparse Signals Using Compressive Sensing Methods. CoRR abs/1706.05201 (2017) - 2016
- [c20]Stefan Vujovic
, Isidora Stankovic, Milos Dakovic, Ljubisa Stankovic:
Comparison of a gradient-based and LASSO (ISTA) algorithm for sparse signal reconstruction. MECO 2016: 377-380 - [c19]Milos Brajovic, Milos Dakovic, Ljubisa Stankovic:
Convexity of the ℓ1-norm based sparsity measure with respect to the missing samples as variables. MECO 2016: 393-396 - [c18]Isidora Stankovic, Irena Orovic
, Srdjan Stankovic, Milos Dakovic:
Iterative denoising of sparse images. MIPRO 2016: 503-507 - 2015
- [j15]Ljubisa Stankovic
, Milos Dakovic, Thayananthan Thayaparan, Vesna Popovic-Bugarin
:
Inverse radon transform-based micro-doppler analysis from a reduced set of observations. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1155-1169 (2015) - [c17]Andjela Draganic, Irena Orovic, Nedjeljko Lekic, Milos Dakovic, Srdjan Stankovic:
Architecture for single iteration reconstruction algorithm. MECO 2015: 77-80 - [c16]Stefan Vujovic
, Milos Dakovic, Irena Orovic, Srdjan Stankovic:
An architecture for hardware realization of compressive sensing Gradient algorithm. MECO 2015: 189-192 - [i4]Andjela Draganic, Irena Orovic, Nedjeljko Lekic, Milos Dakovic, Srdjan Stankovic:
Hardware Architecture for Single Iteration Reconstruction Algorithm. CoRR abs/1502.06230 (2015) - [i3]Milos Brajovic, Irena Orovic, Milos Dakovic, Srdjan Stankovic:
Compressive Sensing of Sparse Signals in the Hermite Transform Basis: Analysis and Algorithm for Signal Reconstruction. CoRR abs/1511.04582 (2015) - 2014
- [j14]Ljubisa Stankovic
, Igor Djurovic, Srdjan Stankovic, Marko Simeunovic
, Slobodan Djukanovic
, Milos Dakovic:
Instantaneous frequency in time-frequency analysis: Enhanced concepts and performance of estimation algorithms. Digit. Signal Process. 35: 1-13 (2014) - [j13]Ljubisa Stankovic
, Milos Dakovic, Stefan Vujovic
:
Adaptive variable step algorithm for missing samples recovery in sparse signals. IET Signal Process. 8(3): 246-256 (2014) - [j12]Ljubisa Stankovic
, Srdjan Stankovic, Milos Dakovic:
From the STFT to the Wigner Distribution [Lecture Notes]. IEEE Signal Process. Mag. 31(3): 163-174 (2014) - [i2]Ljubisa Stankovic, Milos Dakovic:
Reconstruction of Randomly Sampled Sparse Signals Using an Adaptive Gradient Algorithm. CoRR abs/1412.0624 (2014) - 2013
- [j11]Ljubisa Stankovic
, Milos Dakovic
, Thayananthan Thayaparan:
A real-time time-frequency based instantaneous frequency estimator. Signal Process. 93(5): 1392-1397 (2013) - [j10]Ljubisa Stankovic
, Thayananthan Thayaparan, Milos Dakovic
, Vesna Popovic-Bugarin
:
Micro-Doppler Removal in the Radar Imaging Analysis. IEEE Trans. Aerosp. Electron. Syst. 49(2): 1234-1250 (2013) - [c15]Milos Dakovic, Ljubisa Stankovic:
Estimation of sinusoidally modulated signal parameters based on the inverse Radon transform. ISPA 2013: 302-307 - [c14]Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic:
Concentration measures with an adaptive algorithm for processing sparse signals. ISPA 2013: 425-430 - [c13]Slavoljub Mijovic, Milos Dakovic:
Feature extraction from mammograms by using a'priory information. MECO 2013: 144-147 - [i1]Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic:
Adaptive Variable Step Algorithm for Missing Samples Recovery in Sparse Signals. CoRR abs/1309.5749 (2013) - 2012
- [c12]Borisa Bjelica, Milos Dakovic, Ljubisa Stankovic, Thayananthan Thayaparan:
Complex Empirical Decomposition method in radar signal processing. MECO 2012: 88-91 - 2011
- [j9]Slobodan Djukanovic
, Vesna Popovic, Milos Dakovic
, Ljubisa Stankovic
:
A parametric method for non-stationary interference suppression in direct sequence spread-spectrum systems. Signal Process. 91(6): 1425-1431 (2011) - 2010
- [j8]Vesna Popovic
, Igor Djurovic, Ljubisa Stankovic
, Thayananthan Thayaparan, Milos Dakovic
:
Autofocusing of SAR images based on parameters estimated from the PHAF. Signal Process. 90(5): 1382-1391 (2010)
2000 – 2009
- 2009
- [j7]Slobodan Djukanovic
, Milos Dakovic
, Ljubisa Stankovic
:
Bit error probability approximation for short-time Fourier transform based nonstationary interference excision in DS-SS systems. Signal Process. 89(11): 2178-2184 (2009) - 2008
- [j6]Ljubisa Stankovic, Thayananthan Thayaparan, Vesna Popovic, Igor Djurovic, Milos Dakovic:
Adaptive S-Method for SAR/ISAR Imaging. EURASIP J. Adv. Signal Process. 2008 (2008) - [j5]Ljubisa Stankovic
, Milos Dakovic
, Jin Jiang, Ervin Sejdic
:
Instantaneous Frequency Estimation Using the -Transform. IEEE Signal Process. Lett. 15: 309-312 (2008) - [j4]Slobodan Djukanovic
, Milos Dakovic
, Ljubisa Stankovic
:
Local Polynomial Fourier Transform Receiver for Nonstationary Interference Excision in DSSS Communications. IEEE Trans. Signal Process. 56(4): 1627-1636 (2008) - [c11]Thayananthan Thayaparan, Ljubisa Stankovic
, Milos Dakovic
:
S-Method-Based Approach for Image Formation, Motion Compensation, and Image Enhancement of Moving Targerts in ISAR and SAR. IGARSS (2) 2008: 29-32 - 2007
- [c10]Ervin Sejdic, Predrag Rakovic, Milos Dakovic, Ljubisa Stankovic:
An algorithm for decomposition of heart sounds based on S-method. EUSIPCO 2007: 2484-2488 - 2006
- [j3]Vesna Rubezic, Igor Djurovic, Milos Dakovic
:
Time-frequency representations-based detector of chaos in oscillatory circuits. Signal Process. 86(9): 2255-2270 (2006) - [j2]Ljubisa Stankovic
, Thayananthan Thayaparan, Milos Dakovic
:
Signal Decomposition by Using the S-Method With Application to the Analysis of HF Radar Signals in Sea-Clutter. IEEE Trans. Signal Process. 54(11): 4332-4342 (2006) - [c9]T. Thayaparan, Ljubisa Stankovic
, Milos Dakovic
:
Focusing Distorted ISAR Images Using the S-method. CCECE 2006: 56-59 - [c8]T. Thayaparan, Ljubisa Stankovic
, Milos Dakovic
:
Decomposition of Time-varying Multicomponent Signals using Time-Frequency Based Method. CCECE 2006: 60-63 - [c7]Ljubisa Stankovic, T. Thayaparan, Milos Dakovic, Vesna Popovic:
S-method in radar imaging. EUSIPCO 2006: 1-5 - [c6]Vesna Popovic, Milos Dakovic, Thayananthan Thayaparan, Ljubisa Stankovic:
Sar Images Improvements by Using The S-Method. ICASSP (3) 2006: 177-180 - 2005
- [c5]Ljubisa Stankovic, Thayananthan Thayaparan, Milos Dakovic:
Algorithm for signal decomposition by using the S-method. EUSIPCO 2005: 1-4 - [c4]Ljubisa Stankovic, Thayananthan Thayaparan, Milos Dakovic:
Improvement of the fast moving targets presentation in ISAR by using the S-method. EUSIPCO 2005: 1-4 - 2003
- [j1]Veselin N. Ivanovic
, Milos Dakovic
, Ljubisa Stankovic
:
Performance of quadratic time-frequency distributions as instantaneous frequency estimators. IEEE Trans. Signal Process. 51(1): 77-89 (2003) - [c3]Milos Dakovic, Veselin N. Ivanovic
, Ljubisa Stankovic
:
On the S-method based instantaneous frequency estimation. ISSPA (1) 2003: 605-608 - 2002
- [c2]Milos Dakovic, Igor Djurovic, Ljubisa Stankovic:
Adaptive local polynomial Fourier transform. EUSIPCO 2002: 1-4 - 2001
- [c1]Vladimir Ivanovic, Milos Dakovic, Igor Djurovic, Ljubisa Stankovic:
Instantaneous frequency estimation by using time-frequency distributions. ICASSP 2001: 3521-3524
Coauthor Index
aka: Bruno Scalzo
aka: Thayananthan Thayaparan
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last updated on 2024-08-22 20:49 CEST by the dblp team
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