{"title":"How the ear really works","authors":"R. McEachern","doi":"10.1109/TFTSA.1992.274124","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274124","url":null,"abstract":"Contrary to popular belief, human eyes and ears are not general purpose light and sound analyzers; they are in fact highly optimized for detecting only very specific types of modulations on signals. Furthermore, the evolution of the visual and auditory systems was highly constrained by the fact that the receptors of both systems can only respond readily to the logarithms of the intensity of signals within various bands of frequency, and not the signal waveforms themselves. As a result, these systems cannot possibly perform Fourier analysis, wavelet analysis, linear prediction or similar types of signal processing since all of those techniques require, as inputs measurements of the signals themselves rather than just the log of the intensity of the signal. Instead, the auditory system appears to use a form of ratio detection and frequency diversity signaling in order to characterize sound modulations.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116466692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reflected boundary conditions for multirate filter banks","authors":"J. Bradley, C. Brislawn, V. Faber","doi":"10.1109/TFTSA.1992.274177","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274177","url":null,"abstract":"Several methods for applying perfect reconstruction quadrature mirror filter (PR QMF) banks to finite-length signals are described and compared. Although simple periodization produces a transform that does not increase the size of the transformed signal, it has the disadvantage of introducing a jump discontinuity at the signal's boundary. Various methods of transforming smoother extensions are considered and analyzed in terms of their ability to conserve data storage costs and reproduce the signal in a numerically efficient manner. A complete classification of two-channel schemes based on periodizing symmetric (reflected) signal extensions and using linear phase filters is described, for both even- and odd-length signals. More general techniques based on transforming linear signal extrapolations and truncating the resulting subbands to conserve data size are also presented. An example using reflected boundary extension is discussed.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124619496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of 'matched' wavelets to identification of metallic transients","authors":"R. Priebe, G. Wilson","doi":"10.1109/TFTSA.1992.274167","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274167","url":null,"abstract":"A class of signals that usually precede failure of machinery are metallic transients due to momentary contact of supposedly noncontacting moving parts. In many cases these transients can be modeled as sums of spectral components. It is possible to construct models of metallic transients by summing together shifted and dilated copies of a single damped sinusoid. Wavelets are inherently suited to the analysis of metallic transient signals because they are based on shifts and dilations of a single function. It is possible to tailor the wavelet used in the wavelet transform to give an optimal response to the damped sinusoids that compose the metallic transient. If these metallic transients are generated by cyclostationary processes, it is shown that moments of the wavelet transforms of these signals can be used to study correlation between the individual components of the signal in both time and frequency.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128626627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A theoretical framework for the analysis and design of size-limited multirate filter banks","authors":"V. Nuri, R. Bamberger","doi":"10.1109/TFTSA.1992.274176","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274176","url":null,"abstract":"A theoretical framework for analyzing and designing maximally decimated, size-limited filter banks for finite-length input signals is presented. This flexible framework allows for the analysis of many different methods which have recently been proposed to handle the special issues which arise when processing finite extent input signals. Size-limited filter banks are viewed as linear transformations which can be implemented using filter banks composed of linear, time-varying filters and resamplers. The framework is convenient for designing exact-reconstruction, size-limited filter banks which combine almost any signal extension and analysis filter pair.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130018752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A theory for an acoustic perception system","authors":"J. K. Bates","doi":"10.1109/TFTSA.1992.274164","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274164","url":null,"abstract":"A theory of acoustic perception based on extracting meaning from a signal by direct analysis of waveform features is presented. This approach avoids the theoretical difficulties that are inherent in Fourier or any other transform method. At each waveform zero, parameters in time, amplitude, and space are measured and stored in a delay line. Using a hierarchy of time-parallel arrays, this information is instantaneously parsed into sequences that characterize the various environmental acoustic sources. The system described emphasizes, but is not limited to, speech perception. Examples demonstrate real-time direction finding, sorting speakers by direction, and automatic phonetic segmentation and labeling.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129044780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Signal-dependent kernel for reduction of time-domain cross terms in time-frequency distributions","authors":"P.M. Moore, Q.T. Tran","doi":"10.1109/TFTSA.1992.274192","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274192","url":null,"abstract":"A signal-dependent tapering function which is able to reduce time-domain cross terms for the class of impulsive signals is introduced. The reverse-correlation function magnitude is constrained to suppress increases away from the origin. In combination with the cone-shaped kernel approach, the resulting time-frequency distribution (TFD) demonstrates a reduction in both the time- and frequency-domain cross terms.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131056695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the choice of a wavelet, and the energy and the phase distributions of the wavelet transform","authors":"S. Kadambe","doi":"10.1109/TFTSA.1992.274138","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274138","url":null,"abstract":"The effect of the choice of a wavelet and the nature of the signal on the cross terms that exist in the energy distribution of the continuous wavelet transform (CWT) of a multicomponent signal with representative examples is discussed. The branch cut phenomenon observed in the phase distribution of the CWT of a multicomponent signal is described.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132975896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knocking recognition in engine vibration signal using the wavelet transform","authors":"F. Molinaro, Francis Castanie, A. Denjean","doi":"10.1109/TFTSA.1992.274166","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274166","url":null,"abstract":"The authors propose pattern recognition using wavelet parameters for detecting a physical signal, i.e., knocking, in engine vibration. It is shown that wavelet transform parameters of the vibration signal improve knocking detection, especially at high speed, for slow signal-to-noise ratio (SNR). The knocking signal is characterized by the sum of several resonance frequencies. This method should give good results for other signals which have the same characteristics.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129212341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Horizontal and vertical ridges associated to continuous wavelet transforms","authors":"P. Guillemain, R. Kronland-Martinet","doi":"10.1109/TFTSA.1992.274233","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274233","url":null,"abstract":"By studying the wavelet transform behavior of asymptotic signals, the so-called ridge and skeleton leading to a simplified representation of a given signal have been defined. This skeleton allows the estimation of the frequency and the amplitude modulation laws associated with each elementary contribution. In the particular case of signals composed of spectral lines (monochromatic signals modulated in amplitude), the ridges can be set to the horizontal by disentangling the components, which allows the estimation of the frequency and the amplitude modulation law of each spectral line. This technique permits a complete modeling of a sound signal, leading to various transformations such as transposition, cross synthesis, and time stretching. This mathematical formalism cannot be applied to signals containing fast transitions or isolated transients. The problem of the detection and characterization of such signals is addressed by means of vertical ridges. Locally homogeneous signals are emphasized in order to model transients corresponding to a discontinuity of a given derivative.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126524507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new time-frequency distribution and its application to speech signal processing","authors":"B. Zhang, S. Sato","doi":"10.1109/TFTSA.1992.274129","DOIUrl":"https://doi.org/10.1109/TFTSA.1992.274129","url":null,"abstract":"A kernel function for the time-frequency distribution of Cohen's (1989) class, which is the product of the Choi-Williams (1989) and the Margenau-Hill (1961) kernels, is proposed. Specific types of signal (sinusoidal signals, chirp signals and others) are analyzed using the distribution and compared with results for the Wigner-Ville and the Choi-Williams distributions. It is found that the present distribution does not indicate spurious intensity in the regions where the other distributions do. The three distributions are compared numerically for the above signals and for speech signals, in order to show the advantages of the present distribution.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116728784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}