# Iterative Frequency-Weighted Filtering and Smoothing Procedures

@article{Einicke2014IterativeFF, title={Iterative Frequency-Weighted Filtering and Smoothing Procedures}, author={Garry A. Einicke}, journal={IEEE Signal Processing Letters}, year={2014}, volume={21}, pages={1467-1470} }

Minimum-variance filters and smoothers exhibit performance degradations when they are designed with inexact models and noise statistics. Filter and smoother estimation errors are assumed herein to be generated by a first-order moving-average system. This assumed system is identified and used to design a frequency weighting function to improve mean square error performance. It is shown under prescribed conditions that the sequence of frequency-weighted estimation error variances are…

## 6 Citations

The application of frequency-weighting to improve filtering and smoothing performance

- Engineering2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS)
- 2014

Pioneering research on the perception of sounds at different frequencies was conducted by Fletcher and Munson in the 1930s. Their work led to a standard way of weighting measured sound levels within…

Frequency Shifting And Filtering Algorithm for Power System Harmonic Estimation

- Engineering2017 IEEE International Workshop on Applied Measurements for Power Systems (AMPS)
- 2017

A novel algorithm for power system harmonic analysis called Frequency Shifting and Filtering (FSF) algorithm is proposed in this paper, which can increase the accuracy of harmonic analysis efficiently.

Control on output peak current of motors in robots

- EngineeringThe 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)
- 2014

A new method based on the low-pass filter is proposed to control output peak current of motors, which safely improves the output power of motors.

Context-Aware Sensor Fusion For Securing Cyber-Physical Systems

- Computer Science
- 2017

This dissertation develops a nominal contextaware filter and develops a technique for incorporating context measurements into sensor fusion, thus providing guarantees about system safety even in cases where more than half of standard sensors might be under attack.

Towards Liquid Models: An Evolutionary Modeling Approach

- Computer Science2016 IEEE 18th Conference on Business Informatics (CBI)
- 2016

An early result of the CDL-MINT project is presented: the liquid models architecture for linking design models to runtime concerns, which are derived from distributed and heterogeneous systems during operation.

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