A solution of the smoothing problem for linear dynamic systems
Automatica (Journal of IFAC)
Least-squares estimation: from Gauss to Kalman
IEEE Spectrum
Discrete-time fixed-lag smoothing algorithms
Automatica (Journal of IFAC)
The fixed-lag smoother as a stable finite-dimensional linear system
Automatica (Journal of IFAC)
Likelihood ratios for Gaussian processes
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
A unifying framework for linear estimation: Generalized partitioned algorithms
Information Sciences: an International Journal
Expository & survey paper: A unified approach to smoothing formulas
Automatica (Journal of IFAC)
Supplement to “a survey of data smoothing”
Automatica (Journal of IFAC)
Brief paper: An efficient fixed-lag smoothing algorithm for discrete linear systems
Automatica (Journal of IFAC)
Paper: A new computationally efficient fixed-interval, discrete-time smoother
Automatica (Journal of IFAC)
Fixed-lag demodulation of discrete noisy measurements of FM signals
Automatica (Journal of IFAC)
Gaussian filtering and smoothing for continuous-discrete dynamic systems
Signal Processing
| Hi-index | 22.16 |
A survey of the field of data smoothing for lumped-parameter, linear and nonlinear, dynamic systems is presented. The survey beings with the work of Kepler and Gauss, proceeds through that of Kolmogorov and Wiener, and concludes with the studies of numerous researchers during the past 10-12 years. The purpose of the survey is to place in perspective the development of the field of data smoothing relative to the broader area of estimation theory of which it is a part.