Fast computation of the spectral correlation

[1]  Jérôme Antoni,et al.  The spectral analysis of cyclo-non-stationary signals , 2016 .

[2]  Arun K. Samantaray,et al.  Rolling element bearing defect diagnosis under variable speed operation through angle synchronous averaging of wavelet de-noised estimate , 2016 .

[3]  Jérôme Antoni,et al.  Non-intrusive rattle noise detection in non-stationary conditions by an angle/time cyclostationary approach , 2016 .

[4]  Antonio Napolitano,et al.  Cyclostationarity: New trends and applications , 2016, Signal Process..

[5]  Robert B. Randall,et al.  Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study , 2015 .

[6]  Pietro Borghesani,et al.  The envelope-based cyclic periodogram , 2015 .

[7]  Fakher Chaari,et al.  Cyclostationarity: theory and methods , 2014 .

[8]  Paolo Pennacchi,et al.  Testing second order cyclostationarity in the squared envelope spectrum of non-white vibration signals , 2013 .

[9]  W. Cioch,et al.  Finding a frequency signature for a cyclostationary signal with applications to wheel bearing diagnostics , 2013 .

[10]  Paolo Pennacchi,et al.  A new procedure for using envelope analysis for rolling element bearing diagnostics in variable operating conditions , 2013 .

[11]  Robert B. Randall,et al.  Application of cepstrum pre-whitening for the diagnosis of bearing faults under variable speed conditions , 2013 .

[12]  Jérôme Antoni,et al.  A KIS solution for high fidelity interpolation and resampling of signals , 2013 .

[13]  Jacek Leskow,et al.  Linear filtration methods for statistical analysis of periodically correlated random processes - Part I: Coherent and component methods and their generalization , 2012, Signal Process..

[14]  J. Antoni,et al.  Detection of Surface Ships From Interception of Cyclostationary Signature With the Cyclic Modulation Coherence , 2012, IEEE Journal of Oceanic Engineering.

[15]  Robert B. Randall,et al.  Rolling element bearing diagnostics—A tutorial , 2011 .

[16]  Radoslaw Zimroz,et al.  A new feature for monitoring the condition of gearboxes in non-stationary operating conditions , 2009 .

[17]  J. Antoni.  Cyclostationarity by examples , 2009 .

[18]  J. Antoni.  Cyclic spectral analysis of rolling-element bearing signals : Facts and fictions , 2007 .

[19]  J. Antoni.  Cyclic spectral analysis in practice , 2007 .

[20]  J. Antoni.  Fast computation of the kurtogram for the detection of transient faults , 2007 .

[21]  Jérôme Antoni,et al.  Cyclostationary modelling of rotating machine vibration signals , 2004 .

[22]  Ioannis Antoniadis,et al.  CYCLOSTATIONARY ANALYSIS OF ROLLING-ELEMENT BEARING VIBRATION SIGNALS , 2001 .

[23]  Robert B. Randall,et al.  THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALS , 2001 .

[24]  D. Brillinger.  Time series - data analysis and theory , 1981, Classics in applied mathematics.

[25]  Cécile Capdessus,et al.  CYCLOSTATIONARY PROCESSES: APPLICATION IN GEAR FAULTS EARLY DIAGNOSIS , 2000 .

[26]  Dominique Dehay,et al.  Spectral analysis of the covariance of the almost periodically correlated processes , 1994 .

[27]  W. A. Brown,et al.  Computationally efficient algorithms for cyclic spectral analysis , 1991, IEEE Signal Processing Magazine.

[28]  W. Gardner.  Exploitation of spectral redundancy in cyclostationary signals , 1991, IEEE Signal Processing Magazine.

[29]  Harry L. Hurd,et al.  Correlation theory of almost periodically correlated processes , 1991 .

[30]  H. H. Loomis,et al.  Digital implementations of spectral correlation analyzers , 1988, Fourth Annual ASSP Workshop on Spectrum Estimation and Modeling.

[31]  William A. Gardner,et al.  Measurement of spectral correlation , 1986, IEEE Trans. Acoust. Speech Signal Process..