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Correlation over Decomposed Signals: A Non-Linear Approach to Fast and Effective Sequences Comparison
[article]
2000
arXiv
pre-print
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A novel non-linear approach to fast and effective comparison of sequences is presented, compared to the traditional cross-correlation operator, and illustrated with respect to DNA sequences. ...
i.e.:
Figure 1 - 1 (e) and (f) illustrates the effect of this strategy with respect to w = 1.5 and 4.5, respectively.Concluding Remarks:A novel non-linear fast and effective approach to the identification ...
The Fast Fourier Transform and its Applications, Two original sequences (a-b), and the respective sequences obtained by applying the cross-correlation (c) and comparison (d) operators. ...
arXiv:cs/0006040v1
fatcat:a7uvcessvjdypgn5s4mzai2qfa
Adaptive Signal Processing Algorithms Based on EMD and ITD
2019
IEEE Access
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due to their obvious advantages compared to conventional (e.g. correlation-or spectral-based analysis) approaches like the ability of their direct application to non-stationary signal analysis. ...
We also demonstrate that the proposed algorithms modifications could be successfully utilized in a series of emerging applications for processing of non-stationary signals. ...
Existing approaches to the non-stationary signal analysis and processing have several significant drawbacks. ...
doi:10.1109/access.2019.2956077
fatcat:gocl4qaw7rfl5emyrzxux57j7a
Surface Electromyography Signal Processing and Classification Techniques
2013
Sensors
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However, noisy EMG signals are the major hurdles to be overcome in order to achieve improved performance in the above applications. ...
This paper reviews two prominent areas; first: the pre-processing method for eliminating possible artifacts via appropriate preparation at the time of recording EMG signals, and second: a brief explanation ...
Acknowledgments The author would like to thank and acknowledge the medical services of Teknologi Kasihatan dan Perubatan Research Group. ...
doi:10.3390/s130912431
pmid:24048337
pmcid:PMC3821366
fatcat:dpmex65sbfgsljq5edqn3qzmki
A Fast Multi-Step Atom Searching In Non-Low Signal Energy Regions For Matching Pursuits
2008
Zenodo
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(Fig. 1 ) Matching pursuits is a greedy algorithm by which a signal is iteratively decomposed into a linear expansion of waveforms from an over-complete dictionary [4] . ...
MATCHING PURSUITS
Basic Principle Matching pursuits reconstructs a signal f (t) (an approximated version of f (t)) using a linear combination of basis function g γ (t) included in the over-complete dictionary ...
doi:10.5281/zenodo.40805
fatcat:2exczjfl4refrjg242nvgegedi
Spontaneous Pupillary Oscillation Signal Analysis Applying Hilbert Huang Transform
2016
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies
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The traditional Fourier transform is only useful for linear stationary signals analysis, but the HHT was designed for the analysis of non-linear and non-stationary signals. ...
However, the HHT is a more suitable tool to study SPO signals which are fundamentally nonstationary. ...
The EMD was implemented to decompose the original SPO signals; the obtained IMF modes varying from 4-10 plus a non-linear trend which also showed a clear non-stationary behavior. ...
doi:10.5220/0005697400670077
dblp:conf/biostec/Villalobos-Castaldi16
fatcat:plqep5ungzelzlv3y2oyo3zi2y
Self-Similar Decomposition of Digital Signals
2020
Cybernetics and Information Technologies
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These signal representations discover different signal characteristics and in many cases, the exploration of a single signal presentation is not sufficient. ...
Unlike some well-known approaches, the newly proposed method for signal decomposition and description does not use pre-selected templates such as sine waves, wavelets, etc. ...
The approach is particularly effective when applied to repetitive signals of artificial origin like digital ones. ...
doi:10.2478/cait-2020-0038
fatcat:jww2qt66efdajge3zhex7nunk4
Auditory-inspired sparse representation of audio signals
2011
Speech Communication
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The approach is applied to different audio signals and results are discussed and compared. This work is a first step towards the design of a high-quality auditory-inspired "object-based" audio coder. ...
We show that the introduction of adaptiveness in the selection of gammachirp kernels enhances the compression rate compared to the case where the kernels are non-adaptive. ...
The first author would also like to thank Jean Rouat for fruitful discussions on machine learning, as well as the University of Sherbrooke for a travel grant that made the discussions on machine learning ...
doi:10.1016/j.specom.2010.09.008
fatcat:ggfyamasqbbz5gp5k5g6ugbs3m
Enhanced Empirical Mode DecompositionApproach toEliminateMotion Artifacts in EEG using ICA and DWT
2013
International Journal of Signal Processing, Image Processing and Pattern Recognition
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To ease the concept of diagnosing human health a strong and viable biomedical signal is of importance. ...
approach to remove the artifacts of single channel signal is described followed by filtering mechanism using ICA and DSNR, Lambda (λ), Autocorrelation and PSD. ...
The EEMD decomposes a single channel EEG to a multi-channel function and sourced to fast ICA algorithm for filtering. ...
doi:10.14257/ijsip.2016.9.5.29
fatcat:owywl3jtnnearo2zv4knlacfzi
Wavelet analysis of bender element signals
2012
Geotechnique
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The wavelet approach is not affected by near field effects and instead is characterised by a relatively consistent singularity related to the shear wave arrival time, across a range of frequencies and ...
Examples of the use of the approach on typical synthetic and experimental bender element signals are also supplied, and these results are compared to those from other time and frequency domain approaches ...
ACKNOWLEDGEMENTS The authors would like to thank Pierse Construction for their funding of the second author. ...
doi:10.1680/geot.9.p.052
fatcat:r7pnd6sglzcc5cojkbrxhd3vha
A Journey from Improper Gaussian Signaling to Asymmetric Signaling
2020
IEEE Communications Surveys and Tutorials
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2020 pre-print arXiv:2005.00058v1 fatcat:mxsuueh3vjeizmmd75n5z7byku
The deviation of continuous and discrete complex random variables from the traditional proper and symmetric assumption to a generalized improper and asymmetric characterization (accounting correlation ...
The journey begins from the design of improper Gaussian signaling in the interference-limited communications and leads to a more elaborate and practically feasible asymmetric discrete modulation design ...
sequences stationary non-Gaussian vector sequence [182] Stationary non-Gaussian signal with improper/colored noise [62] Spectral image 2D-spectrum Stationary non-Gaussian image with improper Gaussian ...
doi:10.1109/comst.2020.2989626
fatcat:zyno7ku6n5eqnp6rrcopczb4qu
Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking
2010
EURASIP Journal on Advances in Signal Processing
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Due to its non-stationary nature, time-or frequency-only approaches are inadequate in analyzing these signals. ...
A joint time-frequency (TF) approach would be a better choice to efficiently process these signals. ...
Acknowledgments Portions of this paper reprinted, with permission, from [39, 69, 71] [25] , others are reproduced from the book chapter mentioned in [26] , and finally portions are reproduced from ...
doi:10.1155/2010/451695
fatcat:u2smg3zf7fedne5e5ankvmepee
Parameterized source separation for delayed spectroscopic signals
2019
Signal Processing
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Results on synthetic and real data demonstrate the effectiveness of both algorithms compared to state-of-the-art methods for highly correlated Gaussian waveforms. ...
For highly correlated sources, the separation becomes ambiguous, and a second algorithm is proposed: a regularization term is added to favor slow delay evolution within each source. ...
the knowledge of parametrized source shapes for decomposing a sequence of spectra. ...
doi:10.1016/j.sigpro.2018.12.015
fatcat:xbeaiikpizc3bnlbcesidt746a
Signal processing with higher-order spectra
1993
IEEE Signal Processing Magazine
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Nikias and A. P. Petropulu, Higher-Order Spectral Analysis, Oppenheim Series of Signal Processing, Prentice-Hall, Inc. 1993, as well as the tutorials by C. L. Nikias ...
In fact, a signal is said to be a linear non-Gaussian process of order n if the magnitude of the nth-order coherency, 1 C(w1, . . ., mfl-l) 1, is constant over all frequencies; otherwise, the signal is ...
The signal of interest is assumed to be non-Gaussian whereas the additive noise is Gaussian and spatially correlated. ...
doi:10.1109/79.221324
fatcat:27qqvapr3fcpbofyh4vyiffeji
Secure Transfer of Color Images Using Horizontal and Vertical Scan
2019
Traitement du signal
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The proposed technique is simple to implement and has high encryption rate. ...
The aim of this contribution is to enhance the security of encrypted image and decrease the execution time. ...
The generator is a stream cipher system that consists of seventeen non linear feedback shift registers (NLFSR) denoted of lengths ,where 1 ≤ ≤ 17, and a non linear combining function of 17 variables. ...
doi:10.18280/ts.360106
fatcat:wmiqqmddqff3bnjc6btq534x6a
Time Integrating Optical Signal Processing
1980
Optical Engineering: The Journal of SPIE
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Coherent and non-coherent time integrating schemes were considered and a new hybrid space/time integrating approach was detailed. ...
These have been analyzed to establish their capabilities with respect to each other and in comparison with an acousto-optic (non-interferometric) power spectrum analyzer (which we will call a Bragg receiver ...
Also, a variety of simple optical systems, both coherent and noncoherent, can be implemented to measure cross-correlation functions between two signals. ...
doi:10.1117/12.7972521
fatcat:lrjt3dvlyvabziw2625ndvnkoq
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