Co-author Network
Co-researcher Network
sample of publications
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articles
- One-Bit Spectrum Sensing for Cognitive Radio. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 72:549-564. 2024
- Covariance matrix recovery from one-bit data with non-zero quantization thresholds: Algorithm and performance analysis. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 71:4060-4076. 2023
- Multidimensional variability in ecological assessments predicts two clusters of suicidal patients. Scientific Reports. 13:1-14. 2023
- One-bit target detection in collocated MIMO Radar and performance degradation analysis. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. 71:9363-9374. 2022
- Online detection and SNR estimation in cooperative spectrum sensing. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 21:2521-2533. 2022
- Graph-signal reconstruction and blind deconvolution for structured inputs. SIGNAL PROCESSING. 188. 2021
- Change-point detection in hierarchical circadian models. PATTERN RECOGNITION. 113:107820. 2021
- Assessment of Variability in Irregularly Sampled Time Series: Applications to Mental Healthcare. Mathematics. 9 (1):1-18. 2021
- Scale-invariant subspace detectors based on first- and second-order statistical models. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 68:6432-6443. 2020
- Two-channel passive detection of cyclostationary signals. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 68:2340-2355. 2020
- Multi-channel factor analysis with common and unique factors. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 68:113-126. 2020
- Subspace averaging and order determination for source enumeration. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 67:3028-3041. 2019
- Assessment of e-Social Activity in Psychiatric Patients. IEEE Journal of Biomedical and Health Informatics. 23:2247-2256. 2019
- Source enumeration in the presence of colored noise. IEEE SIGNAL PROCESSING LETTERS. 6:475-479. 2019
- Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study. JMIR mHealth and uHealth. 6. 2018
- Testing Equality of Multiple Power Spectral Density Matrices. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 66:6268-6280. 2018
- Joint Detection of Almost-Cyclostationary Signals and Estimation of Their Cycle Period. IEEE SIGNAL PROCESSING LETTERS. 2018
- LMPIT-Inspired Tests for Detecting a Cyclostationary Signal in Noise With Spatio-Temporal Structure. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 17:6321-6334. 2018
- Canonical correlation analysis of high-dimensional data with very small sample support. SIGNAL PROCESSING. 128:449-458. 2016
- Detection of multivariate cyclostationarity. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 63:5395-5408. 2015
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books
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conference contributions
- Multistatic passive detection of cyclostationary signals 2024
- Passive detection of rank-one Gaussian signals for known channel subspaces and arbitrary noise. 1-5. 2023
- Sparse Subspace Averaging for Order Estimation. 411-415. 2021
- A general test for the linear structure of covariance matrices of Gaussian populations. 5365-5369. 2020
- Continual learning for infinite hierarchical change-point detection. 3582-3586. 2020
- Modeling phone call durations via switching Poisson processes with applications in mental health. 1-6. 2020
- Mixtures of heterogeneous Poisson processes for the assessment of e-social activity in mental health. 1-6. 2019
- Two-channel passive detection exploiting cyclostationarity. 1-5. 2019
- Two-channel passive detection of cyclostationary signals in noise with spatio-temporal structure. 1333-1337. 2019
- An alternating optimization algorithm for two-channel factor analysis with common and uncommon factors. 1743-1747. 2018
- Demixing and blind deconvolution of graph-diffused sparse signals. 4189-4193. 2018
- Locally optimal invariant detector for testing equality of two power spectral densities. 3929-3923. 2018
- Model-order selection in statistical shape models 2018
- Subspace averaging for source enumeration in large arrays. 323-327. 2018
- Detection of almost-cyclostationarity: An approach based on a multiple hypothesis test. 1635-1639. 2017
- Graph-signal reconstruction and blind deconvolution for diffused sparse inputGraph-signal reconstruction and blind deconvolution for diffused sparse inputs 2017
- Bootstrap-based detection of the number of signals correlated across multiple data sets. 610-614. 2016
- Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime. 1-5. 2016
- Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio. 4249-4253. 2016
- An asymptotic LMPI test for cyclostationarity detection with application to cognitive radio. 5669-5673. 2015
- Determining the number of signals correlated across multiple data sets for small sample support. 1528-1532. 2015