Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"S-Transform"”.
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A Consensus Model for Electroencephalogram Data Via the S-Transform
… consensus model will be produced by using the S-Transform of the individual signals and then normalized to unit energy. A bootstrapping process is used to produce a consensus spectrum. This leads to the consensus model via the inverse S-Transform of the consensus spectrum. The method will be …
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New Model And Simulation Algorithm Of Nonstationary Non-gaussian Ground Motions Based On S-transform
… presented by using historical records and the S-transform – a Fourier transform with time localized and frequency-dependent windows – is carried out. New models of the TFPSD function and coherence function are presented. Also, new time-frequency spectral representation methods (TFSRMs) to …
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Low Latency Compressive Sensing using Multi-Resolution Analysis In Radar Signal Processing
… Third, we modified our Haar approach by using S-transform bases instead of Haar bases. The S-transform based algorithm is capable of analyzing signal frequency and phase that gives the algorithm the ability to extract target range and speed information in a single reconstruction step. The …
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Wavelet-Based Characterization and Stochastic Modelling of Pulse-like Ground Motions on the Time-frequency Plane
… representation techniques (the harmonic wavelet transform, the Meyer wavelet packets transform, the S-transform and the empirical mode decomposition) in capturing salient features of pulse-like accelerograms. The significantly higher structural demands posed by PLGMs in comparison with similar …
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Seismic data decomposition using sparse dictionary
… analysis methods include the Short Time Fourier transform (STFT), Continuous Wavelet Transform (CWT), S-transform (ST), and Matching Pursuit (MP), among which MP is the most tolerant of window/scalar effect. However, the traditional wavelet library is a set of user defined wavelet which does not …
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Complexity adaptation in video encoders for power limited platforms
… algorithm based on the Walsh Hadamard Transform (WHT) is presented. The key idea is to segment regions of an image as edges or flat regions based on the fact that prediction errors are mainly affected by edges. Secondly, a fast motion estimation algorithm called Fast Walsh Boundary …
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Condition monitoring of polymer electrolyte membrane fuel cells
… cell. The method makes use of the discrete S-transform that overcomes some of the limits in other signal processing methods used in fuel cell diagnostics. To enable detailed parameter calculation, a population based incremental learning algorithm is implemented in the developed method. A new …