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2020 – today
- 2024
[j55]Maciej Niedzwiecki
, Artur Gancza:
On Optimal Tracking of Rapidly Varying Telecommunication Channels. IEEE Trans. Signal Process. 72: 2726-2738 (2024)- [c62]Artur Gancza, Maciej Niedzwiecki:
Identification of Quasi-Periodically Varying Systems Using the Local Basis Function Approach. EUSIPCO 2024: 1082-1086 - 2023
- [j54]Maciej Niedzwiecki, Artur Gancza:
Karhunen-Loeve-based approach to tracking of rapidly fading wireless communication channels. Signal Process. 209: 109043 (2023) - [c61]Maciej Niedzwiecki, Artur Gancza:
Fast Algorithms for Identification of Time-Varying Systems with Both Smooth and Discontinuous Parameter Changes. CDC 2023: 3519-3526 - [c60]Maciej Niedzwiecki, Artur Gancza, Lu Shen, Yuriy V. Zakharov:
On Bidirectional Preestimates and Their Application to Identification of fast Time-Varying Systems. ICASSP 2023: 1-5 - 2022
- [j53]Lu Shen, Yuriy V. Zakharov, Maciej Niedzwiecki, Artur Gancza:
Finite-window RLS algorithms. Signal Process. 198: 108599 (2022) - [j52]Maciej Niedzwiecki, Artur Gancza, Lu Shen, Yuriy V. Zakharov:
Adaptive identification of sparse underwater acoustic channels with a mix of static and time-varying parameters. Signal Process. 200: 108664 (2022) - [c59]Maciej Niedzwiecki, Artur Gancza:
Optimally regularized local basis function approach to identification of time-varying systems. CDC 2022: 227-234 - [c58]Maciej Niedzwiecki, Artur Gancza, Lu Shen, Yuriy V. Zakharov:
Adaptive Identification of Underwater Acoustic Channel with a Mix of Static and Time-Varying Parameters. ICASSP 2022: 5258-5262 - 2021
- [j51]Marcin Ciolek, Maciej Niedzwiecki, Artur Gancza:
Decoupled Kalman Filter Based Identification of Time-Varying FIR Systems. IEEE Access 9: 74622-74631 (2021) - [j50]Maciej Niedzwiecki, Marcin Ciolek, Artur Gancza, Piotr Kaczmarek:
Application of regularized Savitzky-Golay filters to identification of time-varying systems. Autom. 133: 109865 (2021) - [j49]Artur Gancza, Maciej Niedzwiecki, Marcin Ciolek:
Regularized Local Basis Function Approach to Identification of Nonstationary Processes. IEEE Trans. Signal Process. 69: 1665-1680 (2021) - [c57]Artur Gancza, Maciej Niedzwiecki:
Regularized identification of fast time-varying systems - comparison of two regularization strategies. CDC 2021: 864-871 - [c56]Artur Gancza, Maciej Niedzwiecki:
Regularized Identification of Time-Varying FIR Systems Based on Generalized Cross-Validation. EUSIPCO 2021: 2035-2039 - 2020
- [j48]Maciej Niedzwiecki, Marcin Ciolek, Artur Gancza:
A new look at the statistical identification of nonstationary systems. Autom. 118: 109037 (2020) - [c55]Maciej Niedzwiecki, Artur Gancza, Marcin Ciolek:
On the preestimation technique and its application to identification of nonstationary systems. CDC 2020: 286-293 - [c54]Maciej Niedzwiecki, Marcin Ciolek, Artur Gancza, Piotr Kaczmarek:
A New Method of Noncausal Identification of Time-varying Systems. SPA 2020: 1-5
2010 – 2019
- 2019
- [j47]Maciej Niedzwiecki, Marcin Ciolek:
Generalized Savitzky-Golay filters for identification of nonstationary systems. Autom. 108 (2019) - [j46]Maciej Niedzwiecki, Michal Meller, Damian Chojnacki:
Lattice-Filter-Based Multivariate Autoregressive Spectral Estimation With Joint Model Order and Estimation Bandwidth Adaptation. IEEE Trans. Autom. Control. 64(12): 4968-4981 (2019) - [j45]Maciej Niedzwiecki, Marcin Ciolek:
On Noncausal Identification of Nonstationary Multivariate Autoregressive Processes. IEEE Trans. Signal Process. 67(3): 769-782 (2019) - [c53]Maciej Niedzwiecki, Marcin Ciolek, Artur Gancza:
Local basis function estimators for identification of nonstationary systems. CDC 2019: 777-783 - [c52]Michal Meller, Maciej Niedzwiecki, Damian Chojnacki:
On Adaptive Spectrum Estimation of Multivariate Autoregressive Locally Stationary Processes. EUSIPCO 2019: 1-5 - [c51]Maciej Niedzwiecki, Marcin Ciolek:
Fully Adaptive Savitzky-Golay Type Smoothers. EUSIPCO 2019: 1-5 - [c50]Maciej Niedzwiecki, Marcin Ciolek, Artur Gancza:
Fast Basis Function Estimators for Identification of Nonstationary Stochastic Processes. EUSIPCO 2019: 1-5 - 2018
- [j44]Maciej Niedzwiecki, Marcin Ciolek:
Identification of nonstationary multivariate autoregressive processes - Comparison of competitive and collaborative strategies for joint selection of estimation bandwidth and model order. Digit. Signal Process. 78: 72-81 (2018) - [c49]Maciej Niedzwiecki, Marcin Ciolek:
Two-Stage Identification of Locally Stationary Autoregressive Processes and its Application to the Parametric Spectrum Estimation. ICASSP 2018: 4344-4348 - 2017
- [j43]Maciej Niedzwiecki, Marcin Ciolek, Yoshinobu Kajikawa:
On adaptive covariance and spectrum estimation of locally stationary multivariate processes. Autom. 82: 1-12 (2017) - [j42]Maciej Niedzwiecki, Marcin Ciolek:
New Semicausal and Noncausal Techniques for Detection of Impulsive Disturbances in Multivariate Signals With Audio Applications. IEEE Trans. Signal Process. 65(15): 3881-3892 (2017) - [c48]Michal Meller, Maciej Niedzwiecki, Damian Chojnacki, Adam Lasota:
On autoregressive spectrum estimation using the model averaging technique. CDC 2017: 3600-3605 - [c47]Maciej Niedzwiecki, Michal Meller, Damian Chojnacki:
Lattice filter based autoregressive spectrum estimation with joint model order and estimation bandwidth adaptation. CDC 2017: 4618-4625 - [c46]Maciej Niedzwiecki, Marcin Ciolek:
On joint order and bandwidth selection for identification of nonstationary autoregressive processes. EUSIPCO 2017: 1460-1464 - [c45]Marcin Ciolek, Maciej Niedzwiecki:
Detection of impulsive disturbances in archive audio signals. ICASSP 2017: 671-675 - [c44]Maciej Niedzwiecki, Marcin Ciolek:
Akaike's final prediction error criterion revisited. TSP 2017: 237-242 - 2016
- [j41]Maciej Niedzwiecki, Przemyslaw Pietrzak:
High-Precision FIR-Model-Based Dynamic Weighing System. IEEE Trans. Instrum. Meas. 65(10): 2349-2359 (2016) - [c43]Maciej Niedzwiecki, Marcin Ciolek, Yoshinobu Kajikawa:
On adaptive selection of estimation bandwidth for analysis of locally stationary multivariate processes. ICASSP 2016: 4860-4864 - 2015
- [j40]Maciej Niedzwiecki, Marcin Ciolek:
Localization of impulsive disturbances in audio signals using template matching. Digit. Signal Process. 46: 253-265 (2015) - [j39]Maciej Niedzwiecki, Marcin Ciolek, Krzysztof Cisowski:
Elimination of Impulsive Disturbances From Stereo Audio Recordings Using Vector Autoregressive Modeling and Variable-order Kalman Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 23(6): 970-981 (2015) - [j38]Marcin Ciolek, Maciej Niedzwiecki, Stefan Sieklicki, Jacek Drozdowski, Janusz Siebert:
Automated Detection of Sleep Apnea and Hypopnea Events Based on Robust Airflow Envelope Tracking in the Presence of Breathing Artifacts. IEEE J. Biomed. Health Informatics 19(2): 418-429 (2015) - [c42]Maciej Niedzwiecki, Michal Meller, Maciej Gajdzica:
Robust algorithm for active feedback control of narrowband noise. EUSIPCO 2015: 275-279 - [c41]Maciej Niedzwiecki, Michal Meller:
Active feedback noise control in the presence of impulsive disturbances. ICASSP 2015: 659-663 - 2014
- [j37]Michal Stanislaw Meller, Maciej Niedzwiecki:
Multichannel self-optimizing narrowband interference canceller. Signal Process. 98: 396-409 (2014) - [c40]Maciej Niedzwiecki, Marcin Ciolek:
Elimination of impulsive disturbances from stereo audio recordings. EUSIPCO 2014: 66-70 - [c39]Marcin Ciolek, Maciej Niedzwiecki, Stefan Sieklicki, Jacek Drozdowski, Janusz Siebert:
Automated detection of sleep apnea and hypopnea events based on robust airflow envelope tracking. EUSIPCO 2014: 2090-2094 - [c38]Maciej Niedzwiecki, Marcin Ciolek:
Localization of impulsive disturbances in archive audio signals using predictive matched filtering. ICASSP 2014: 2888-2892 - 2013
- [j36]Maciej Niedzwiecki, Michal Stanislaw Meller:
Generalized adaptive comb filters/smoothers and their application to the identification of quasi-periodically varying systems and signals. Autom. 49(6): 1601-1613 (2013) - [j35]Michal Stanislaw Meller, Maciej Niedzwiecki:
Parallel frequency tracking with built-in performance evaluation. Digit. Signal Process. 23(3): 845-851 (2013) - [j34]Maciej Niedzwiecki, Szymon Gackowski:
New Approach to Noncausal Identification of Nonstationary Stochastic FIR Systems Subject to Both Smooth and Abrupt Parameter Changes. IEEE Trans. Autom. Control. 58(7): 1847-1853 (2013) - [j33]Maciej Niedzwiecki, Marcin Ciolek:
Elimination of Impulsive Disturbances From Archive Audio Signals Using Bidirectional Processing. IEEE Trans. Speech Audio Process. 21(5): 1046-1059 (2013) - [c37]Michal Meler, Maciej Niedzwiecki:
Built in performance evaluation for an adaptive notch filter. EUSIPCO 2013: 1-5 - [c36]Maciej Niedzwiecki, Michal Stanislaw Meller, Yoshinobu Kajikawa, Dawid Lukwinski:
Estimation of nonstationary harmonic signals and its application to active control of MRI noise. ICASSP 2013: 5661-5665 - [c35]Maciej Niedzwiecki, Marcin Ciolek:
Renovation of archive audio recordings using sparse autoregressive modeling and bidirectional processing. ICASSP 2013: 5949-5953 - [c34]Michal Meller, Maciej Niedzwiecki:
Multiple-channel frequency-adaptive active vibration control using SONIC. ISPA 2013: 627-632 - 2012
- [j32]Maciej Niedzwiecki:
Locally Adaptive Cooperative Kalman Smoothing and Its Application to Identification of Nonstationary Stochastic Systems. IEEE Trans. Signal Process. 60(1): 48-59 (2012) - [c33]Maciej Niedzwiecki, Szymon Gackowski:
New approach to noncausal identification of nonstationary stochastic systems subject to both smooth and abrupt parameter changes. CDC 2012: 889-894 - [c32]Michal Stanislaw Meller, Maciej Niedzwiecki:
Robustification of the self-optimizing narrowband interference canceler - extremum seeking in complex domain. CDC 2012: 4805-4810 - [c31]Maciej Niedzwiecki, Michal Meler:
Generalized adaptive comb filter with improved accuracy and robustness properties. EUSIPCO 2012: 91-95 - [c30]Maciej Niedzwiecki, Marcin Ciolek:
Elimination of clicks from archive speech signals using sparse autoregressive modeling. EUSIPCO 2012: 2615-2619 - [c29]Maciej Niedzwiecki, Michal Stanislaw Meller:
Fundamental frequency smoothing for nonstationary multi-harmonic signals. ISSPA 2012: 728-733 - 2011
- [j31]Maciej Niedzwiecki, Szymon Gackowski:
On noncausal weighted least squares identification of nonstationary stochastic systems. Autom. 47(10): 2239-2244 (2011) - [j30]Maciej Niedzwiecki, Michal Stanislaw Meller:
New Algorithms for Adaptive Notch Smoothing. IEEE Trans. Signal Process. 59(5): 2024-2037 (2011) - [c28]Maciej Niedzwiecki, Szymon Gackowski:
On cooperative image denoising. ICASSP 2011: 933-936 - [c27]Maciej Niedzwiecki, Michal Stanislaw Meller:
On the instantaneous frequency smoothing for signals with quasi-linear frequency changes. ICASSP 2011: 4288-4291 - 2010
- [j29]Maciej Niedzwiecki:
Easy recipes for cooperative smoothing. Autom. 46(4): 716-720 (2010) - [j28]Maciej Niedzwiecki:
Generalized adaptive notch smoothing revisited. IEEE Trans. Signal Process. 58(3): 1565-1576 (2010) - [c26]Michal Stanislaw Meller, Maciej Niedzwiecki:
Multichannel self-optimizing active noise control scheme. CDC 2010: 54-59 - [c25]Michal Stanislaw Meller, Maciej Niedzwiecki:
An improved frequency estimator for an adaptive active noise control scheme. EUSIPCO 2010: 353-357 - [c24]Maciej Niedzwiecki, Szymon Gackowski:
Medley filters - Simple tools for efficient signal smoothing. EUSIPCO 2010: 641-645 - [c23]Maciej Niedzwiecki, Michal Stanislaw Meller:
SONIC - Self-optimizing narrowband interference canceler: Comparison of two frequency tracking strategies. ICCA 2010: 1892-1896
2000 – 2009
- 2009
- [j27]Maciej Niedzwiecki, Piotr Kaczmarek:
Self-optimizing generalized adaptive notch filters - comparison of three optimization strategies. Autom. 45(1): 68-77 (2009) - [j26]Maciej Niedzwiecki, Michal Stanislaw Meller:
Self-Optimizing Adaptive Vibration Controller. IEEE Trans. Autom. Control. 54(9): 2087-2099 (2009) - [j25]Maciej Niedzwiecki, Michal Stanislaw Meller:
A new approach to active noise and vibration control-part I: the known frequency case. IEEE Trans. Signal Process. 57(9): 3373-3386 (2009) - [j24]Maciej Niedzwiecki, Michal Stanislaw Meller:
A new approach to active noise and vibration control-part II: the unknown frequency case. IEEE Trans. Signal Process. 57(9): 3387-3398 (2009) - [c22]Maciej Niedzwiecki, Michal Stanislaw Meller:
Self-optimizing scheme for active noise and vibration control. ICASSP 2009: 249-252 - 2008
- [j23]Maciej Niedzwiecki:
On the lower smoothing bound in identification of time-varying systems. Autom. 44(2): 459-464 (2008) - [j22]Maciej Niedzwiecki:
On "cheap smoothing" opportunities in identification of time-varying systems. Autom. 44(5): 1191-1200 (2008) - [j21]Maciej Niedzwiecki:
Optimal and suboptimal smoothing algorithms for identification of time-varying systems with randomly drifting parameters. Autom. 44(7): 1718-1727 (2008) - [j20]Maciej Niedzwiecki, Adam Sobocinski:
Generalized Adaptive Notch Smoothers for Real-Valued Signals and Systems. IEEE Trans. Signal Process. 56(1): 125-133 (2008) - [j19]Maciej Niedzwiecki:
Statistically Efficient Smoothing Algorithm for Time-Varying Frequency Estimation. IEEE Trans. Signal Process. 56(8-2): 3846-3854 (2008) - [c21]Maciej Niedzwiecki, Michal Stanislaw Meller:
New approach to adaptive vibration control. CDC 2008: 2581-2587 - [c20]Maciej Niedzwiecki, Michal Stanislaw Meller:
Tracking analysis of an adaptive vibration controller. CDC 2008: 2588-2593 - [c19]Maciej Niedzwiecki:
Adaptive notch smoothing revisited. EUSIPCO 2008: 1-5 - [c18]Maciej Niedzwiecki:
From the multiple frequency tracker to the multiple frequency smoother. ICASSP 2008: 3549-3552 - 2007
- [j18]Maciej Niedzwiecki, Adam Sobocinski:
Generalized adaptive notch filters with frequency debiasing for tracking of polynomial phase systems. Autom. 43(1): 128-134 (2007) - [j17]Maciej Niedzwiecki, Adam Sobocinski:
A Simple Way of Increasing Estimation Accuracy of Generalized Adaptive Notch Filters. IEEE Signal Process. Lett. 14(3): 217-220 (2007) - [j16]Maciej Niedzwiecki, Adam Sobocinski:
On Tracking Properties of Real-Valued Generalized Adaptive Notch Filters. IEEE Trans. Signal Process. 55(5-1): 1688-1695 (2007) - [c17]Marcin Pazio, Maciej Niedzwiecki, Ryszard Kowalik, Jacek Lebiedz:
Text detection system for the blind. EUSIPCO 2007: 272-276 - [c16]Maciej Niedzwiecki:
On smoothing opportunities in identification of time-varying systems - Beyond the posterior cramer-RAO bound. EUSIPCO 2007: 2015-2019 - [c15]Maciej Niedzwiecki, Piotr Kaczmarek:
Compensation of an Estimation Delay in Self-Optimizing Adaptive Notch Filters. ICASSP (3) 2007: 1325-1328 - 2006
- [j15]Maciej Niedzwiecki, Piotr Kaczmarek:
Tracking analysis of a generalized adaptive notch filter. IEEE Trans. Signal Process. 54(1): 304-314 (2006) - [j14]Maciej Niedzwiecki, Piotr Kaczmarek:
Generalized Adaptive Notch Filter With a Self-Optimization Capability. IEEE Trans. Signal Process. 54(11): 4185-4193 (2006) - [c14]Maciej Niedzwiecki, Piotr Kaczmarek:
Self-optimizing adaptive notch filters - Comparison of three optimization strategies. EUSIPCO 2006: 1-5 - [c13]Maciej Niedzwiecki, Adam Sobocinski:
Generalized adaptive notch filters with frequency debiasing. EUSIPCO 2006: 1-5 - 2005
- [j13]Maciej Niedzwiecki, Piotr Kaczmarek:
Estimation and tracking of complex-valued quasi-periodically varying systems. Autom. 41(9): 1503-1516 (2005) - [j12]Maciej Niedzwiecki, Piotr Kaczmarek:
Identification of quasi-periodically varying systems using the combined nonparametric/parametric approach. IEEE Trans. Signal Process. 53(12): 4588-4598 (2005) - [j11]Maciej Niedzwiecki, Piotr Kaczmarek:
Generalized adaptive notch and comb filters for identification of quasi-periodically varying systems. IEEE Trans. Signal Process. 53(12): 4599-4609 (2005) - [c12]Maciej Niedzwiecki:
On frequency tracking properties of a generalized adaptive notch filter. CDC/ECC 2005: 4994-4999 - [c11]Maciej Niedzwiecki, Piotr Kaczmarek:
Generalized adaptive notch filters - does gradient smoothing technique help? CDC/ECC 2005: 5814-5819 - [c10]Maciej Niedzwiecki, Piotr Kaczmarek:
Signal tracking properties of a class of adaptive notch filters. EUSIPCO 2005: 1-4 - 2004
- [c9]Maciej Niedzwiecki, Piotr Kaczmarek:
Generalized adaptive notch filters for identification of real quasi-periodically varying systems. EUSIPCO 2004: 1915-1918 - [c8]Maciej Niedzwiecki, Piotr Kaczmarek:
Generalized adaptive notch filters. ICASSP (2) 2004: 657-660 - 2003
- [j10]Maciej Niedzwiecki, Tomasz Klaput:
Fast algorithms for identification of periodically varying systems. IEEE Trans. Signal Process. 51(12): 3270-3279 (2003) - [c7]Szymon Ceranka, Maciej Niedzwiecki:
Application of particle filtering in navigation system for blind. ISSPA (2) 2003: 495-498 - 2002
- [j9]Maciej Niedzwiecki, Tomasz Klaput:
Fast recursive basis function estimators for identification of time-varying processes. IEEE Trans. Signal Process. 50(8): 1925-1934 (2002) - [c6]Maciej Niedzwiecki, Tomasz Klaput, Piotr Kaczmarek:
Increasing accuracy of frequency estimation by decimation. EUSIPCO 2002: 1-4 - 2001
- [j8]Maciej Niedzwiecki, Krzysztof Cisowski:
Smart copying-a new approach to reconstruction of audio signals. IEEE Trans. Signal Process. 49(10): 2272-2282 (2001) - [c5]Maciej Niedzwiecki, Tomasz Klaput:
Fast recursive basis function algorithms for identification of time-varying processes. CDC 2001: 4302-4307 - 2000
- [c4]Maciej Niedzwiecki, Tomasz Klaput:
Fast algorithms for identification of rapidly fading channels. EUSIPCO 2000: 1-4 - [c3]Maciej Niedzwiecki, Tomasz Klaput:
Fast recursive basis functions estimators for identification of time-varying processes. ICASSP 2000: 1-4
1990 – 1999
- 1999
- [c2]Krzysztof Cisowski, Maciej Niedzwiecki:
Smart copying-a new approach to reconstruction of audio signals. ISCAS (4) 1999: 58-63 - 1996
- [j7]Maciej Niedzwiecki, Krzysztof Cisowski:
Adaptive scheme for elimination of broadband noise and impulsive disturbances from AR and ARMA signals. IEEE Trans. Signal Process. 44(3): 528-537 (1996) - [c1]Maciej Niedzwiecki:
Elimination of cliks and background noise from archive gramophone recordings using the "two track mono" approach. EUSIPCO 1996: 1-4 - 1995
- [j6]Maciej Niedzwiecki, William A. Sethares:
Smoothing of discontinuous signals: the competitive approach. IEEE Trans. Signal Process. 43(1): 1-13 (1995) - 1994
- [j5]Maciej Niedzwiecki:
Identification of time-varying systems with abrupt parameter changes. Autom. 30(3): 447-459 (1994) - 1993
- [j4]Maciej Niedzwiecki:
Statistical Reconstruction of Multivariate Time Series. IEEE Trans. Signal Process. 41(1): 451-456 (1993) - 1992
- [j3]Maciej Niedzwiecki:
Multiple-model approach to finite memory adaptive filtering. IEEE Trans. Signal Process. 40(2): 470-473 (1992) - 1990
- [j2]Maciej Niedzwiecki:
Identification of time-varying systems using combined parameter estimation and filtering. IEEE Trans. Acoust. Speech Signal Process. 38(4): 679-686 (1990)
1980 – 1989
- 1989
- [j1]Maciej Niedzwiecki:
Steady-state and parameter tracking properties of self-tuning minimum variance regulators. Autom. 25(4): 597-602 (1989)
Coauthor Index
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