Relevant bibliographies by topics / Cepstrum

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cepstrum'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Cepstrum"

1

Nowicki, Andrzej, and Artur Marciniak. "Detection of Wall Vibrations by Means of Cepstrum Analysis." Ultrasonic Imaging 11, no. 4 (1989): 273–82. http://dx.doi.org/10.1177/016173468901100405.

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Preliminary studies on the usefulness of the cepstrum analysis of Doppler signals for detecting vibrations of periodically vibrating structures, such as aortic valves in children with innocent heart murmurs, were carried out in two stages. First, by cepstrum analysis of computer simulated frequency modulated signals, and second, by the analysis of real Doppler signals generated by a vibrating reflector. Simulation and experimental studies were performed for modulating frequencies from 10 Hz to 60 Hz while changing the amplitude of vibrations from 0.2 mm to 1 mm. The striking similarity between
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Li, Zong Tao, Yan Gao, Xiang Zhou, and Yu Guo. "Feature Extraction of Faulty Rolling Element Bearing Based on Time Synchronous Average and Cepstrum Edit." Advanced Materials Research 889-890 (February 2014): 666–70. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.666.

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The cepstrum edit scheme for the vibration feature extraction of the faulty rolling element bearing (REB) is studied in this paper. By combined the time synchronous average (TSA) and the real cepstrum to localize and edit the cepstral lines of the original vibration, the unwanted discrete frequency components can be removed. Then, a corresponding inverse procedure is designed, in which the edited cepstrum and the original phase spectrum are employed to reconstruct the edited vibration for the REB feature extraction. Simulation verified the scheme positively.
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Kamath, Chandrakar. "Comparison of Baseline Cepstral Vector and Composite Vectors in the Automatic Seizure Detection Using Probabilistic Neural Networks." ISRN Biomedical Engineering 2013 (August 27, 2013): 1–9. http://dx.doi.org/10.1155/2013/984864.

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Epileptic seizures are abnormal sudden discharges in the brain with signatures manifesting in the electroencephalogram (EEG) recordings by frequency changes and increased amplitudes. These changes, in this work, are captured through traditional cepstrum and the cepstrum-derived dynamic features. We compared the performance of the traditional baseline cepstral vector with that of the two composite vectors, the first including velocity cepstral coefficients and the second including velocity and acceleration cepstral coefficients, using probabilistic neural network in general epileptic seizure de
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Zheng, G. T., and W. J. Wang. "A New Cepstral Analysis Procedure of Recovering Excitations for Transient Components of Vibration Signals and Applications to Rotating Machinery Condition Monitoring." Journal of Vibration and Acoustics 123, no. 2 (2001): 222–29. http://dx.doi.org/10.1115/1.1356696.

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A new cepstral analysis procedure with the complex cepstrum for recovering excitations causing multiple transient signal components from vibration signals, especially from rotor vibration signals, has been developed. Along with the problem of singularity, a major problem of the cepstrum is that it cannot provide a correct distribution of the excitations. To solve these problems, a signal preprocessing method, whose function is to provide a definition for the distribution of the excitations along the quefrency axis and remove singular points from the transform, has been added to the cepstrum an
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Toumi, Yassine, Billel Bengherbia, Mohamed Rebiai, and Zmirli Mohamed Ould. "Bearing faults diagnosis using cepstral analysis and 1D Convolutional neural network." AINTELIA SCIENCE NOTES 1, no. 1 (2022): 59–64. https://doi.org/10.5281/zenodo.8070908.

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The diagnosis of faults in the rotating machines has become necessary recently, in the order to ensure their safety and efficiency. the rolling bearing is one of the most components prone to failure in the rotating machines. In this work, we propose a novel approach to detecting and classifying the rolling bearing faults by using the cepstral analysis and 1D-CNN. First, the real, complex and power cepstrum are calculated, which are later used as input to the classifier. Second, a 1D-CNN is used as a classifier to diagnose the bearing faults. The proposed method is tested on the CWRU dataset fr
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Reddy, Anil Kundhur. "Cepstrum Analysis." IETE Technical Review 7, no. 2 (1990): 133–36. http://dx.doi.org/10.1080/02564602.1990.11438604.

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Reddy, G. R., and V. V. Rao. "On the computation of complex cepstrum through differential cepstrum." Signal Processing 13, no. 1 (1987): 79–83. http://dx.doi.org/10.1016/0165-1684(87)90113-7.

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Hu, Teng, Ru Zhang, and Jian Yi Liu. "An Audio Zero-Watermarking Algorithm Based on Wavelet and Cepstrum Coefficients Mean Comparison." Advanced Materials Research 811 (September 2013): 508–13. http://dx.doi.org/10.4028/www.scientific.net/amr.811.508.

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This paper presented an audio zero-watermarking algorithm based on wavelet and cepstrum coefficients mean comparison. The Algorithm first divided the original audio into four parts, and then used the wavelet transform to conduct 3-level wavelet decomposition in every audio signal, extracting the approximate coefficients of the third layer wavelet to conduct cepstrum transform according to fixed length segment,and removing the part with high fluctuation at both ends of the cepstral coefficients, selecting the stable middle part to construct the watermark based on the two neighboring mean value
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Nirmal, Jagannath, Suprava Patnaik, Mukesh Zaveri, and Pramod Kachare. "Complex Cepstrum Based Voice Conversion Using Radial Basis Function." ISRN Signal Processing 2014 (February 6, 2014): 1–13. http://dx.doi.org/10.1155/2014/357048.

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The complex cepstrum vocoder is used to modify the speaker specific characteristics of the source speaker speech to that of the target speaker speech. The low time and high time liftering are used to split the calculated cepstrum into the vocal tract and the source excitation parameters. The obtained mixed phase vocal tract and source excitation parameters with finite impulse response preserve the phase properties of the resynthesized speech frame. The radial basis function is explored to capture the nonlinear mapping function for modifying the complex cepstrum based real and imaginary compone
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Braun, S. "Cepstrum based methods." Mechanical Systems and Signal Processing 128 (August 2019): 674–76. http://dx.doi.org/10.1016/j.ymssp.2019.01.039.

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Dissertations / Theses on the topic "Cepstrum"

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Bryan, Robert A. "Thin-bed resolution from cepstrum analysis." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/74514.

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A method of cepstrum analysis is developed for the purpose of resolving thin-beds. The method relies on the detection of periodic pulses of the cepstra of reflectivity functions, which are isolated by computing a sub-cepstrum and a sum-cepstrum, and highlighted with a discriminator, where the sub-cepstrum of the functions f₁(t) and f₂(t) is the difference between the cepstra of the two functions, the sum-cepstrum of f₁(t) is the sum of the sub-cepstra of f₁(t) and f<sub>k</sub>(t), k=2,3,4,... , and the discriminator is the product of the sum-cepstrum and the autocovariance of the sum-cepstrum
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Gudnason, Jon. "Voice source cepstrum processing for speaker identification." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439448.

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Lelakis, Ioannis. "Speaker identification using the two-dimensional cepstrum transform." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA294204.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 1995.<br>"March 1995." Thesis advisor(s): Monique Fargue, Ralph Hippenstiel. Includes bibliographical references. Also available online.
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Komadel, Michal. "Mutlimediální diff - audio dokumenty." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237074.

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This work describes development of a diff tool working with audio files containing general sound such as music, speech and other sounds. There are presented facts from different domains of science related to sound, such as psychoacoustics, speech recognition and automatic music genre categorisation. This paper also contains description of some diff algorithms and external tools needed for development of the goal application. Moreover, there is introduced design and implementation of the application, settings used for sound features extraction and evaluation of attained results.
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Marvi, Hossein. "Efficient feature extraction based on two-dimensional cepstrum analysis for speech recognition." Thesis, University of Surrey, 2004. http://epubs.surrey.ac.uk/843940/.

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Solving speech recognition problems requires an adequate feature extraction technique to transform the raw speech signal to a set of feature vectors to preserve most of information corresponding to the speech signal. The features should ideally be compact, distinct and well representative of the speech signal. If the feature vectors do not represent the important content of the speech, the performance of the system will perform poorly regardless of the pattern recognition techniques applied. Many different feature extraction representations of the speech signal have been suggested and tried fo
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Hubbard, Stephen J. "A cepstrum-based acoustic echo cancellation technique for improving public address system performance." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/15617.

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Mahajan, Mayur. "Development of a speech recognition system using the Mel Frequency Cepstrum Coefficient method." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10141515.

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<p> Voice recognition systems have found widespread use in applications such as tele-shopping, tele-banking, information services, home automation, voice message security, and voice call dialing, which allows a driver to make calls safely while driving. </p><p> This project presents the development of a high performance speech recognition system using human voice models. Recognizing the behavior of the human ear, the Mel Frequency Cepstral Coefficient (MFCC) method is used to develop the system capability for feature extraction. Vector quantization optimized by the Linde Buzo Gray (LGB) algo
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Wei, Coach K. (Coach Kecheng) 1973. "Cepstrum-based deconvolution techniques for ultrasonic pulse-echo imaging of flaws in composite laminates." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/79992.

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CASTELLANA, ANTONELLA. "Towards vocal-behaviour and vocal-health assessment using distributions of acoustic parameters." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2705908.

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Voice disorders at different levels are affecting those professional categories that make use of voice in a sustained way and for prolonged periods of time, the so-called occupational voice users. In-field voice monitoring is needed to investigate voice behaviour and vocal health status during everyday activities and to highlight work-related risk factors. The overall aim of this thesis is to contribute to the identification of tools, procedures and requirements related to the voice acoustic analysis as objective measure to prevent voice disorders, but also to assess them and furnish proof of
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Kupka, Petr. "Detekce alkoholu v řečovém signálu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442414.

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The diploma thesis Detection of Alcohol in Speech Signal first describes the effect of alcohol on the human body. The second part deals with ways to obtain parameters that describe the speech signal. The third part provides a brief overview of previous case studies and patents focused on the detection of alcohol in the speech signal. The fourth part presents the collected own database of voice recordings and developed software application for the analysis of intoxicated speech. The final part describes the measured changes in speech signal parameters that indicate alcohol intoxication.
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Books on the topic "Cepstrum"

1

Martin, R. M. Power cepstrum technique with application to model helicopter acoustic data. Langley Research Center, 1986.

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2

L, Burley C., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Power cepstrum technique with application to model helicopter acoustic data. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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Yeshurun, Yehezkel. Cepstral filtering on a columnar image architecture: a fast algorithm for binocular stereo segmentation. Courant Institute of Mathematical Sciences, New York University, 1987.

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Power cepstrum technique with application to model helicopter acoustic data. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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5

Sotiropoulos, Sotiris. Cepstral analysis for wide band speech coding. 1996.

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Cepstral Processing For GPS Multipath Detection and Mitigation. Storming Media, 1997.

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Book chapters on the topic "Cepstrum"

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Kido, Ken’iti. "Cepstrum Analysis." In Digital Fourier Analysis: Advanced Techniques. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1127-1_4.

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Orság, Filip. "Speaker Dependent Frequency Cepstrum Coefficients." In Security Technology. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10847-1_32.

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Prasad, R. Venkatesha, H. S. Jamadagni, Abhijeet Sangwan, and M. C. Chiranth. "VAD for VoIP Using Cepstrum." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45076-4_52.

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Zhang, Yihan, Junda Li, Cheng Cheng, and Zhicong Zhong. "Cepstrum-Guided Empirical Wavelet Transform and Bearing Fault Feature Extraction." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-7887-4_123.

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Abstract As a traditional frequency domain modal decomposition method, the empirical wavelet transform has complete theoretical support and excellent adaptability. For signals with high sampling frequency and strong noise, the empirical wavelet transform will obtain unexplained components and mode aliasing. To solve the above problems, this paper proposes an optimized empirical wavelet transform method based on Cepstrum guidance. The trend spectrum is obtained through cepstral editing, which is considered to be related to the information. The minimum of the trend spectrum is defined as the bou
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Vondra, Martin, and Robert Vích. "Speech Modeling Using the Complex Cepstrum." In Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18184-9_27.

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Wasiljeff, A., K. U. Simmer, and H. Wieker. "Hartley Cepstrum Analysis of Acoustic Signals." In Acoustic Signal Processing for Ocean Exploration. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1604-6_50.

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Kuo, Bo-Lin, Chih-Cheng Lo, Chi-Hua Liu, Bin-Yih Liao, and Jeng-Shyang Pan. "Audio Watermarking with HOS-Based Cepstrum Feature." In Computational Collective Intelligence. Technologies and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16732-4_34.

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Schafer, Ronald W. "Homomorphic Systems and Cepstrum Analysis of Speech." In Springer Handbook of Speech Processing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-49127-9_9.

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Schroeder, Manfred R. "Direct Relations Between Cepstrum and Predictor Coefficients." In Computer Speech. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06384-2_13.

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Barbini, L., M. Eltabach, and J. L. du Bois. "Application of Cepstrum Prewhitening on Non-stationary Signals." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61927-9_26.

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Conference papers on the topic "Cepstrum"

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Lee, Dah Jye, Sunanda Mitra, and Thomas F. Krile. "Noise tolerance of power cepstra and phase correlation In Image registration." In OSA Annual Meeting. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.fn6.

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Precise registration and subsequent matching of sequential images is a difficult task in many applications. Power cepstra of feature-based segmented images can be used for correcting the translational shift. The phase information in phase correlation technique is critical to the computation of the peak and is easily affected by the added noise. Since only the magnitude is involved in the computation of power cepstrum, the constraints that arise from the limitation of the phase components are absent in power cepstrum technique. The effects of the illumination change and the added noise are less
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Walsh, Mathieu, Nathan Malarich, Fabrizio R. Giorgetta, Ian Coddington, and Jérôme Genest. "Reconciling Cepstral and Spectral spectroscopic fits." In Applied Industrial Spectroscopy. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ais.2023.jm2b.3.

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Cepstral fitting for absorption spectroscopy is revisited as a method for spectral baseline estimation in a domain where baseline and molecular information are largely distinguishable. The least square fit can afterwards occur in any domain (absorbance, transmittance, cepstrum). Work of the US Government and not subject to copyright.
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Tang, He, Jian-Zhong Cha, Yuanhui Wang, and Ce Zhang. "The Principle of Cepstrum and its Application in Quantitative Fault Diagnostics of Gears." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0374.

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Abstract This paper has studied the principle of cepstrum and introduced a new method which can be used to quantitatively diagnose gear-wear through cepstrum analysis of gear noise. The amplitude value of the peak in cepstrum, which represents gear mesh-harmonics in spectrum, is independent of the intensity of gear noise signal. The value can indicate quantitatively the existence of gear-wear. In the paper, the further interpretation on physical meanings of other peaks in cepstrum has been done. Based on analysing the results of experiments with gearboxes, the thresholds of the gear wear by ce
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Li, B., and X. N. Zhang. "Periodical Feature Extraction and Fault Diagnosis for Gearbox Using Local Cepstrum Technology." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53274.

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Results of numerous studies and experiments show that cepstrum analysis has the ability of simplifying the equally spaced sideband feature in the spectrum and highlights the signal components of defects. However, for most cases of early gear failure, the periodic phenomenon is always buried in strong background noises and the interference of the rotating frequency with its harmonics. Moreover, the features would be further weakened by the average effect of Fourier transform after cepstrum processing. In this paper, an improved cepstrum method named local cepstrum is proposed. The detection pri
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De-Quan, Zhou, and Guo Yan-Qing. "Study of Radar Target Identification Based on Cepstrum and Complex Cepstrum." In 2007 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications. IEEE, 2007. http://dx.doi.org/10.1109/mape.2007.4393799.

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Muralishankar and Ramakrishnan. "DCT based pseudo complex cepstrum." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005791.

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Muralishankar, R., and A. G. Ramakrishnan. "DCT based pseudo complex cepstrum." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5743769.

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Haggag, Sherif, Shady Mohamed, Asim Bhatti, Nong Gu, Hailing Zhou, and Saeid Nahavandi. "Cepstrum Based Unsupervised Spike Classification." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.633.

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Toreyin, B. Ugur, and A. Enis Cetin. "Shadow detection using 2D cepstrum." In SPIE Defense, Security, and Sensing, edited by Steven L. Chodos and William E. Thompson. SPIE, 2009. http://dx.doi.org/10.1117/12.819053.

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Haggag, Sherif, Shady Mohamed, Asim Bhatti, Hussein Haggag, and Saeid Nahavandi. "Neural spike representation using Cepstrum." In 2014 9th International Conference on System of Systems Engineering (SOSE). IEEE, 2014. http://dx.doi.org/10.1109/sysose.2014.6892470.

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Reports on the topic "Cepstrum"

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Clark, G. Phase Retrieval from Modulus Using Homeomorphic Signal Processing and the Complex Cepstrum: An Algorithm for Lightning Protection Systems. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/15014444.

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Roddy, D. Cepstral Analysis of Subsurface Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1992. http://dx.doi.org/10.4095/133662.

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Shumway, Robert H. Array Detection of Ripple-Fired Signals: The Cepstral F-Statistic. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada319833.

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Baumgardt, Douglas R., and Angelina Freeman. Characterization of Underwater Explosions by Spectral/Cepstral Analysis, Modeling and Inversion. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada443931.

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Morris, John B. Image Reconstruction From Strongly Scattering Penetrable Objects Using a Differential Cepstral Filter. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada345619.

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