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ORCIDTom J. Moir
Person information
- affiliation: School of Engineering and Advanced Technology, Massey University at Albany, Auckland, New Zealand
- affiliation: Department of Electronic Engineering and Physics, University of Paisley, Paisley, Scotland, U.K.
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2020 – today
- 2022
[j25]T. J. Moir
:
A study on square root control-systems. J. Comput. Appl. Math. 406: 113938 (2022)
2010 – 2019
- 2018
- [j24]T. J. Moir:
Toeplitz matrices for LTI systems, an illustration of their application to Wiener filters and estimators. Int. J. Syst. Sci. 49(4): 800-817 (2018) - 2017
- [j23]Roneel V. Sharan, Tom J. Moir:
Robust acoustic event classification using deep neural networks. Inf. Sci. 396: 24-32 (2017) - [j22]J. I. Harris, Fakhrul Alam, T. J. Moir:
A hybrid frequency-time domain symmetric adaptive decorrelator. Signal Image Video Process. 11(5): 921-928 (2017) - 2016
- [j21]Sarang Chehrehsa, Tom James Moir:
Speech enhancement using Maximum A-Posteriori and Gaussian Mixture Models for speech and noise Periodogram estimation. Comput. Speech Lang. 36: 58-71 (2016) - [j20]Roneel V. Sharan, Tom J. Moir:
An overview of applications and advancements in automatic sound recognition. Neurocomputing 200: 22-34 (2016) - [j19]T. J. Moir:
FIR system identification for correlated noise using the convolution matrix, an investigation. Signal Image Video Process. 10(6): 1049-1054 (2016) - 2015
- [j18]Roneel V. Sharan, Tom J. Moir:
Noise robust audio surveillance using reduced spectrogram image feature and one-against-all SVM. Neurocomputing 158: 90-99 (2015) - [j17]Roneel V. Sharan, Tom J. Moir:
Subband Time-Frequency Image Texture Features for Robust Audio Surveillance. IEEE Trans. Inf. Forensics Secur. 10(12): 2605-2615 (2015) - [c12]Roneel V. Sharan, Tom J. Moir:
Robust audio surveillance using spectrogram image texture feature. ICASSP 2015: 1956-1960 - [c11]Roneel V. Sharan, Tom J. Moir:
Subband spectral histogram feature for improved sound recognition in low SNR conditions. DSP 2015: 432-435 - [c10]Roneel V. Sharan, Tom J. Moir:
Cochleagram image feature for improved robustness in sound recognition. DSP 2015: 441-444 - 2014
- [j16]T. J. Moir:
Inverting non-minimum phase FIR transfer functions with application to reverberant speech. Int. J. Speech Technol. 17(3): 245-252 (2014) - [j15]Thomas J. Moir, Archibald M. Pettigrew:
A Multiplicative Cancellation Approach to Multipath Suppression in FM Radio. Wirel. Pers. Commun. 75(2): 799-819 (2014) - [c9]T. J. Moir:
Spectral factorization of z-domain polynomials using non-linear least-squares. DSP 2014: 42-47 - [c8]Roneel V. Sharan, Tom J. Moir:
Comparison of multiclass SVM classification techniques in an audio surveillance application under mismatched conditions. DSP 2014: 83-88 - [c7]Roneel V. Sharan, Tom J. Moir:
Audio surveillance under noisy conditions using time-frequency image feature. DSP 2014: 130-135 - 2013
- [c6]T. J. Moir:
System identification using control theory. DSP 2013: 1-6 - 2011
- [j14]Tom J. Moir:
A Control Theoretical Approach to the Polynomial Spectral-Factorization Problem. Circuits Syst. Signal Process. 30(5): 987-998 (2011) - [j13]Tom J. Moir:
A Unified Family of Recursive Algorithms Using Feedback. Circuits Syst. Signal Process. 30(5): 1047-1054 (2011) - [j12]T. J. Moir:
Loop-shaping techniques applied to the least-mean-squares algorithm. Signal Image Video Process. 5(2): 231-243 (2011) - 2010
- [j11]Tom Z. Qi, Tom J. Moir:
Automotive speech control in a non-stationary noisy environment. Int. J. Comput. Appl. Technol. 39(1/2/3): 27-31 (2010) - [j10]G. L. Filho, Tom J. Moir:
From science fiction to science fact: a smart-house interface using speech technology and a photo-realistic avatar. Int. J. Comput. Appl. Technol. 39(1/2/3): 32-39 (2010) - [c5]Vaitheki Yoganathan, Tom J. Moir:
Speech enhancement using a nonlinear neural switched Griffiths-Jim beamformer. ISSPA 2010: 217-220 - [c4]Vaitheki Yoganathan, Tom J. Moir:
Speech enhancement using microphone array neural switched Griffiths-Jim beamformer. WCSP 2010: 1-5
2000 – 2009
- 2009
- [j9]T. J. Moir:
Control systems approach to the sample inverse covariance matrix. J. Frankl. Inst. 346(3): 237-252 (2009) - 2008
- [j8]Jinsoo Jeong, Tom J. Moir:
A real-time kepstrum approach to speech enhancement and noise cancellation. Neurocomputing 71(13-15): 2635-2649 (2008) - 2007
- [j7]T. J. Moir:
A z-domain transfer function solution to the non-minimum phase acoustic beamformer. Int. J. Syst. Sci. 38(7): 563-575 (2007)
1990 – 1999
- 1998
- [c3]Amir Hussain, Douglas R. Campbell, T. J. Moir:
Diverse processing in cochlear spaced sub-bands for multi-microphone adaptive speech enhancement in reverberant environments. EUSIPCO 1998: 1-4 - 1997
- [j6]D. F. Clark, T. J. Moir:
Application of a PLL and ALL noise reduction process in optical sensing systems. IEEE Trans. Ind. Electron. 44(1): 136-138 (1997) - [c2]Hany Agaiby, Thomas J. Moir:
Knowing the wheat from the weeds in noisy speech. EUROSPEECH 1997: 1119-1122 - [c1]Amir Hussain, Douglas R. Campbell, Thomas J. Moir:
A new metric for selecting sub-band processing in adaptive speech enhancement systems. EUROSPEECH 1997: 2611-2614 - 1992
- [j5]Douglas R. Campbell, Tom J. Moir, H. S. Dabis:
Multivariable polynomial matrix formulation of adaptive noise cancelling. Signal Process. 26(2): 177-183 (1992) - 1991
- [j4]A. J. Anderson, T. J. Moir:
Evaluation of the gain for an adaptive deconvolution smoother. Signal Process. 22(2): 209-213 (1991) - [j3]Thomas J. Moir, Douglas R. Campbell, H. S. Dabis:
A polynomial approach to optimal and adaptive filtering with application to speech. IEEE Trans. Signal Process. 39(5): 1221-1224 (1991) - 1990
- [j2]A. J. Anderson, T. J. Moir:
Innovations-based signal generator for a transputer. Microprocess. Microsystems 14(8): 497-503 (1990)
1980 – 1989
- 1987
- [j1]John F. Barrett, Thomas J. Moir:
A unified approach to multivariable discrete-time filtering based on the Wiener theory. Kybernetika 23(3): 177-197 (1987)
Coauthor Index
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