activity
20142025
most citedMultidimensional Digital Filters for Point-Target Detection in Cluttered Infrared Scenes

8 citations · 27 across the 13 of their papers we have counts for

collaborators

18 papers

eess.SP2025

Phase-optimised linearly-constrained minimum-variance beamformers

Hugh L Kennedy

A procedure for the determination of the optimal group-delay of a Linearly-Constrained Minimum-Variance (LCMV) beamformer is proposed. Two ways of selecting the optimal delay are r…

eess.SP2023★ 3 cited

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

Hugh Lachlan Kennedy

A simple procedure for the design of recursive digital filters with an infinite impulse response (IIR) and non-recursive digital filters with a finite impulse response (FIR) is des…

eess.SP2023

Digital Filters for Instantaneous Frequency Estimation

Hugh Lachlan Kennedy

This technical note is on digital filters for the high-fidelity estimation of a sinusoidal signal's frequency in the presence of additive noise. The complex noise is assumed to be…

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.SP2022★ 2 cited

Lecture notes on the design of low-pass digital filters with wireless-communication applications

Hugh L. Kennedy

The low-pass filter is a fundamental building block from which digital signal-processing systems (e.g. radio and radar) are built. Signals in the electromagnetic spectrum extend ov…

eess.SP2022

The leaky integrator that could: Or recursive polynomial regression for online signal analysis

Hugh L Kennedy

Fitting a local polynomial model to a noisy sequence of uniformly sampled observations or measurements (i.e. regressing) by minimizing the sum of weighted squared errors (i.e. resi…

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.SP2019★ 7 cited

Digital filters with vanishing moments for shape analysis

Hugh L. Kennedy

Shape- and scale-selective digital-filters, with steerable finite/infinite impulse responses (FIR/IIRs) and non-recursive/recursive realizations, that are separable in both spatial…

cs.CV2019★ 4 cited

On the Realization and Analysis of Circular Harmonic Transforms for Feature Detection

Hugh L Kennedy

Circular-harmonic spectra are a compact representation of local image features in two dimensions. It is well known that the computational complexity of such transforms is greatly r…

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…

cs.IT2015

Improved IIR Low-Pass Smoothers and Differentiators with Tunable Delay

Hugh L. Kennedy

Regression analysis using orthogonal polynomials in the time domain is used to derive closed-form expressions for causal and non-causal filters with an infinite impulse response (I…

cs.CV2014

Multidimensional Digital Smoothing Filters for Target Detection

Hugh L. Kennedy

Recursive, causal and non-causal, multidimensional digital filters, with infinite impulse responses and maximally flat magnitude and delay responses in the low-frequency region, ar…

cs.CV2014★ 1 cited

Parallel software implementation of recursive multidimensional digital filters for point-target detection in cluttered infrared scenes

Hugh L. Kennedy

A technique for the enhancement of point targets in clutter is described. The local 3-D spectrum at each pixel is estimated recursively. An optical flow-field for the textured back…

cs.CV2014★ 8 cited

Multidimensional Digital Filters for Point-Target Detection in Cluttered Infrared Scenes

Hugh L. Kennedy

A 3-D spatiotemporal prediction-error filter (PEF), is used to enhance foreground/background contrast in (real and simulated) sensor image sequences. Relative velocity is utilized…

eess.SY2014

Digital Filter Designs for Recursive Frequency Analysis

Hugh L. Kennedy

Digital filters for recursively computing the discrete Fourier transform (DFT) and estimating the frequency spectrum of sampled signals are examined, with an emphasis on magnitude-…

eess.SY2014★ 2 cited

Direct Digital Design of Loop-Shaping Filters for Sampled Control Systems

Hugh L. Kennedy

A controller design technique for shaping the frequency response of a process is described. A general linear model (GLM) is used to define the form of a lag or lead compensator in…