Milos Dakovic

Orcid: 0000-0002-3317-3632

According to our database1, Milos Dakovic authored at least 107 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The Schur decomposition of discrete Sine and Cosine transformations of type IV.
Digit. Signal Process., January, 2024

2023
Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition.
Neural Networks, August, 2023

Interpretation of Latent Codes in InfoGAN with SAR Images.
Remote. Sens., March, 2023

A class of doubly stochastic shift operators for random graph signals and their boundedness.
Neural Networks, January, 2023

Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding.
CoRR, 2023

Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification.
CoRR, 2023

2022
Image denoising using RANSAC and compressive sensing.
Multim. Tools Appl., 2022

Analytical Interpretation of Latent Codes in InfoGAN with SAR Images.
CoRR, 2022

2021
Improved Coherence Index-Based Bound in Compressive Sensing.
IEEE Signal Process. Lett., 2021

The DCT domain sparsity-assisted detection and recovery of impulsively disturbed samples.
Multim. Tools Appl., 2021

Reconstruction Error in Nonuniformly Sampled Approximately Sparse Signals.
IEEE Geosci. Remote. Sens. Lett., 2021

RANSAC-Based Signal Denoising Using Compressive Sensing.
Circuits Syst. Signal Process., 2021

Comparative Analysis of Regression and Neural Network Models on Students' Grades.
Proceedings of the 10th Mediterranean Conference on Embedded Computing, 2021

2020
Demystifying the Coherence Index in Compressive Sensing [Lecture Notes].
IEEE Signal Process. Mag., 2020

Bit-depth quantization and reconstruction error in digital images.
Signal Image Video Process., 2020

On the decomposition of multichannel nonstationary multicomponent signals.
Signal Process., 2020

Sparse Analyzer Tool for Biomedical Signals.
Sensors, 2020

Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications.
Found. Trends Mach. Learn., 2020

Data Analytics on Graphs Part II: Signals on Graphs.
Found. Trends Mach. Learn., 2020

Data Analytics on Graphs Part I: Graphs and Spectra on Graphs.
Found. Trends Mach. Learn., 2020

Vertex-frequency graph signal processing: A comprehensive review.
Digit. Signal Process., 2020

Decomposition of multichannel multicomponent nonstationary signals by combining the eigenvectors of autocorrelation matrix using genetic algorithm.
Digit. Signal Process., 2020

Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications.
CoRR, 2020

Quantization in Compressive Sensing: A Signal Processing Approach.
IEEE Access, 2020

Quantization Effect in Nonuniform Nonsparse Signal Reconstruction.
Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

A Low-Dimensionality Method for Data-Driven Graph Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes].
IEEE Signal Process. Mag., 2019

A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing.
Circuits Syst. Signal Process., 2019

Compressive Sensing Inspired Multivariate Median.
Circuits Syst. Signal Process., 2019

Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs.
CoRR, 2019

Unitary Shift Operators on a Graph.
CoRR, 2019

A Unifying Analysis of Shift Operators on a Graph.
CoRR, 2019

Vertex-Frequency Graph Signal Processing.
CoRR, 2019

Graph Signal Processing - Part I: Graphs, Graph Spectra, and Spectral Clustering.
CoRR, 2019

On the Decomposition of Multivariate Nonstationary Multicomponent Signals.
CoRR, 2019

An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing.
CoRR, 2019

Gradient-Descent Algorithm Performance With Reduced Set of Quantized Measurements.
Proceedings of the 8th Mediterranean Conference on Embedded Computing, 2019

Time-Varying Cross-Range in Wideband Sonar Imaging.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Adaptive Thresholding in Extracting Useful Information From Noisy Time- Frequency Distributions.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Decomposition of Two-Component Multivariate Signals with Overlapped Domains of Support.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

2018
Compressive Sensing of Sparse Signals in the Hermite Transform Basis.
IEEE Trans. Aerosp. Electron. Syst., 2018

Reduced Interference Vertex-Frequency Distributions.
IEEE Signal Process. Lett., 2018

Vertex-Frequency Energy Distributions.
IEEE Signal Process. Lett., 2018

Time-frequency decomposition of multivariate multicomponent signals.
Signal Process., 2018

On the reconstruction of nonsparse time-frequency signals with sparsity constraint from a reduced set of samples.
Signal Process., 2018

Denoising of sparse images in impulsive disturbance environment.
Multim. Tools Appl., 2018

Decomposition and analysis of signals sparse in the dual polynomial Fourier transform.
Microprocess. Microsystems, 2018

Sparse signal reconstruction in dual polynomial Fourier transform.
Proceedings of the 7th Mediterranean Conference on Embedded Computing, 2018

Adaptive average BM3D filter for reconstruction of images with combined noise.
Proceedings of the 7th Mediterranean Conference on Embedded Computing, 2018

Additive noise influence on the bivariate two-component signal decomposition.
Proceedings of the 7th Mediterranean Conference on Embedded Computing, 2018

On the rational representation of fractional order lead compensator using Padé approximation.
Proceedings of the 7th Mediterranean Conference on Embedded Computing, 2018

Effect of Random Sampling on Noisy Nonsparse Signals in Time-Frequency Analysis.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components [Lecture Notes].
IEEE Signal Process. Mag., 2017

On the parameterization of Hermite transform with application to the compression of QRS complexes.
Signal Process., 2017

An algorithm for robust image watermarking based on the DCT and Zernike moments.
Multim. Tools Appl., 2017

On the Errors in Randomly Sampled Nonsparse Signals Reconstructed With a Sparsity Assumption.
IEEE Geosci. Remote. Sens. Lett., 2017

Reconstruction of Sparse Signals in Impulsive Disturbance Environments.
Circuits Syst. Signal Process., 2017

Conditions for Unique Reconstruction of Sparse Signals Using Compressive Sensing Methods.
CoRR, 2017

Overlapping blocks in reconstruction of sparse images.
Proceedings of the 40th International Convention on Information and Communication Technology, 2017

Sparse signal reconstruction based on random search procedure.
Proceedings of the 40th International Convention on Information and Communication Technology, 2017

Decomposition of signals in dispersive channels using dual polynomial fourier transform.
Proceedings of the 6th Mediterranean Conference on Embedded Computing, 2017

A resistive circuits analysis using graph spectral decomposition.
Proceedings of the 6th Mediterranean Conference on Embedded Computing, 2017

Analysis of electrical circuits including fractional order elements.
Proceedings of the 6th Mediterranean Conference on Embedded Computing, 2017

Time-frequency signal reconstruction of nonsparse audio signals.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Two-component bivariate signal decomposition based on time-frequency analysis.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Windowing methods for graph signal localization.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Combination of gradient based and single iteration reconstruction algorithms for sparse signals.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

On the fixed-point rounding in the DFT.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

The reconstruction of 2D sparse signals by exploiting transform coefficients variances.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

2016
Iterative denoising of sparse images.
Proceedings of the 39th International Convention on Information and Communication Technology, 2016

Comparison of a gradient-based and LASSO (ISTA) algorithm for sparse signal reconstruction.
Proceedings of the 5th Mediterranean Conference on Embedded Computing, 2016

Convexity of the ℓ1-norm based sparsity measure with respect to the missing samples as variables.
Proceedings of the 5th Mediterranean Conference on Embedded Computing, 2016

2015
Inverse radon transform-based micro-doppler analysis from a reduced set of observations.
IEEE Trans. Aerosp. Electron. Syst., 2015

Hardware Architecture for Single Iteration Reconstruction Algorithm.
CoRR, 2015

Compressive Sensing of Sparse Signals in the Hermite Transform Basis: Analysis and Algorithm for Signal Reconstruction.
CoRR, 2015

An architecture for hardware realization of compressive sensing Gradient algorithm.
Proceedings of the 4th Mediterranean Conference on Embedded Computing, 2015

Architecture for single iteration reconstruction algorithm.
Proceedings of the 4th Mediterranean Conference on Embedded Computing, 2015

2014
From the STFT to the Wigner Distribution [Lecture Notes].
IEEE Signal Process. Mag., 2014

Adaptive variable step algorithm for missing samples recovery in sparse signals.
IET Signal Process., 2014

Instantaneous frequency in time-frequency analysis: Enhanced concepts and performance of estimation algorithms.
Digit. Signal Process., 2014

Reconstruction of Randomly Sampled Sparse Signals Using an Adaptive Gradient Algorithm.
CoRR, 2014

2013
Micro-Doppler Removal in the Radar Imaging Analysis.
IEEE Trans. Aerosp. Electron. Syst., 2013

A real-time time-frequency based instantaneous frequency estimator.
Signal Process., 2013

Feature extraction from mammograms by using a'priory information.
Proceedings of the 2nd Mediterranean Conference on Embedded Computing, 2013

Concentration measures with an adaptive algorithm for processing sparse signals.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Estimation of sinusoidally modulated signal parameters based on the inverse Radon transform.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

2012
Complex Empirical Decomposition method in radar signal processing.
Proceedings of the 1st Mediterranean Conference on Embedded Computing, 2012

2011
A parametric method for non-stationary interference suppression in direct sequence spread-spectrum systems.
Signal Process., 2011

2010
Autofocusing of SAR images based on parameters estimated from the PHAF.
Signal Process., 2010

2009
Bit error probability approximation for short-time Fourier transform based nonstationary interference excision in DS-SS systems.
Signal Process., 2009

2008
Local Polynomial Fourier Transform Receiver for Nonstationary Interference Excision in DSSS Communications.
IEEE Trans. Signal Process., 2008

Instantaneous Frequency Estimation Using the -Transform.
IEEE Signal Process. Lett., 2008

Adaptive S-Method for SAR/ISAR Imaging.
EURASIP J. Adv. Signal Process., 2008

S-Method-Based Approach for Image Formation, Motion Compensation, and Image Enhancement of Moving Targerts in ISAR and SAR.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007
An algorithm for decomposition of heart sounds based on S-method.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Signal Decomposition by Using the S-Method With Application to the Analysis of HF Radar Signals in Sea-Clutter.
IEEE Trans. Signal Process., 2006

Time-frequency representations-based detector of chaos in oscillatory circuits.
Signal Process., 2006

Sar Images Improvements by Using The S-Method.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

S-method in radar imaging.
Proceedings of the 14th European Signal Processing Conference, 2006

Decomposition of Time-varying Multicomponent Signals using Time-Frequency Based Method.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

Focusing Distorted ISAR Images Using the S-method.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

2005
Improvement of the fast moving targets presentation in ISAR by using the S-method.
Proceedings of the 13th European Signal Processing Conference, 2005

Algorithm for signal decomposition by using the S-method.
Proceedings of the 13th European Signal Processing Conference, 2005

2003
Performance of quadratic time-frequency distributions as instantaneous frequency estimators.
IEEE Trans. Signal Process., 2003

On the S-method based instantaneous frequency estimation.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

2002
Adaptive local polynomial Fourier transform.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Instantaneous frequency estimation by using time-frequency distributions.
Proceedings of the IEEE International Conference on Acoustics, 2001


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