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20172025
most citedRecursive and non-recursive filters for sequential smoothing and prediction with instantaneous phase and frequency estimation applications (extended version)

3 citations · 5 across the 8 of their papers we have counts for

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5 papers · 1 filter

eess.SY2022

Simple Digital Controls from Approximate Plant Models

Hugh Lachlan Kennedy

Two ways of designing low-order discrete-time (i.e. digital) controls for low-order plant (i.e. process) models are considered in this tutorial. The first polynomial method finds t…

eess.SY2021

On the design of fixed-gain tracking filters by pole placement: Or an introduction to applied signals-and-systems theory for engineers

Hugh Lachlan Kennedy

The Kalman filter computes the optimal variable-gain using prior knowledge of the initial state and random (process and measurement) noise distributions, which are assumed to be Ga…

eess.SY2021

Noise will be noise: Or phase optimized recursive filters for interference suppression, signal differentiation and state estimation (extended version)

Hugh L. Kennedy

The increased temporal and spectral resolution of oversampled systems allows many sensor-signal analysis tasks to be performed (e.g. detection, classification and tracking) using a…

eess.SY2019

Improving the frequency response of Savitzky-Golay filters via colored-noise models

Hugh L Kennedy

Savitzky-Golay (SG) filters are finite impulse response (FIR) realizations of least-squares polynomial regression and they are widely used for filtering (e.g. smoothing, interpolat…

eess.SY2017

Fixed-Gain Augmented-State Tracking-Filters

Hugh L. Kennedy

A procedure for the design of fixed-gain tracking filters, using an augmented-state observer with signal and interference subspaces, is proposed. The signal subspace incorporates a…