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Daniel Sigalov
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2020 – today
- 2020
- [c14]Daniel Sigalov, Aharon Gal, Boaz Vigdor:
An Improved Algorithm for Universal Sensor Registration. FUSION 2020: 1-8 - [c13]Yaron Shulami, Daniel Sigalov:
Weighted Information Filtering, Smoothing, and Out-of-Sequence Measurement Processing. MFI 2020: 54-60 - [i4]Yaron Shulami, Daniel Sigalov:
Weighted Information Filtering, Smoothing, and Out-of-Sequence Measurement Processing. CoRR abs/2009.02659 (2020)
2010 – 2019
- 2018
- [c12]Daniel Sigalov, Aharon Gal, Boaz Vigdor:
On Universal Sensor Registration. FUSION 2018: 1472-1479 - [i3]Daniel Sigalov, Aharon Gal, Boaz Vigdor:
On Universal Sensor Registration. CoRR abs/1807.05072 (2018) - 2016
- [c11]Daniel Sigalov, Yaakov Oshman:
LMMSE filtering with out-of-sequence and uncertain observations. FUSION 2016: 25-30 - 2014
- [j3]Daniel Sigalov, Tomer Michaeli, Yaakov Oshman:
LMMSE Filtering in Feedback Systems With White Random Modes: Application to Tracking in Clutter. IEEE Trans. Autom. Control. 59(9): 2549-2554 (2014) - [c10]Daniel Sigalov, Tomer Michaeli, Yaakov Oshman:
Simultaneous tracking and data association in an extended maneuvering target using the IMM methodology. FUSION 2014: 1-7 - 2012
- [j2]Tomer Michaeli, Daniel Sigalov, Yonina C. Eldar:
Partially Linear Estimation With Application to Sparse Signal Recovery From Measurement Pairs. IEEE Trans. Signal Process. 60(5): 2125-2137 (2012) - [c9]Daniel Sigalov, Noam Leiter, Noga Kalish, Yaakov Oshman:
State estimation in hybrid systems with a bounded number of mode transitions in the presence of spurious measurements. FUSION 2012: 1955-1962 - [c8]Daniel Sigalov, Tomer Michaeli, Yaakov Oshman:
A unified approach to state estimation problems under data and model uncertainties. FUSION 2012: 2569-2576 - [c7]Tomer Michaeli, Daniel Sigalov, Yonina C. Eldar:
Partially Linear Estimation with Application to Image Deblurring Using Blurred/Noisy Image Pairs. LVA/ICA 2012: 9-16 - [i2]Daniel Sigalov, Tomer Michaeli, Yaakov Oshman:
Linear Optimal Estimation in Feedback Hybrid Systems with Application to Tracking in Clutter. CoRR abs/1210.6578 (2012) - 2011
- [j1]Daniel Sigalov, Nahum Shimkin:
Cross Entropy Algorithms for Data Association in Multi-Target Tracking. IEEE Trans. Aerosp. Electron. Syst. 47(2): 1166-1185 (2011) - [c6]Daniel Sigalov, Tomer Michaeli, Yaakov Oshman:
Linear optimal state estimation in systems with independent mode transitions. CDC/ECC 2011: 6800-6807 - [c5]Daniel Sigalov, Yaakov Oshman:
Tracking maneuvering targets with a soft bound on the number of maneuvers. FUSION 2011: 1-8 - [c4]Daniel Sigalov, Yaakov Oshman:
Linear optimal estimation problems in systems with actuator faults. FUSION 2011: 1-8 - [i1]Tomer Michaeli, Daniel Sigalov, Yonina C. Eldar:
Partially Linear Bayesian Estimation with Application to Sparse Approximations. CoRR abs/1103.5639 (2011) - 2010
- [c3]Daniel Sigalov, Yaakov Oshman:
State estimation in hybrid systems with a bounded number of mode transitions. FUSION 2010: 1-8
2000 – 2009
- 2009
- [c2]Isask'har Walter, Israel Cidon, Avinoam Kolodny, Daniel Sigalov:
The era of many-modules SoC: revisiting the NoC mapping problem. NoCArc@MICRO 2009: 43-48 - 2008
- [c1]Daniel Sigalov, Nahum Shimkin:
Cross-entropy based data association for multi target tracking. VALUETOOLS 2008: 30
Coauthor Index
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