نتایج جستجو برای: synchrosqueezing

تعداد نتایج: 106  

Journal: :Signal Processing 2017
Qingtang Jiang Bruce W. Suter

Abstract Recently, the synchrosqueezing transform (SST) was developed as an alternative to the empirical mode decomposition scheme to separate a non-stationary signal with time-varying amplitudes and instantaneous frequencies (IFs) into a superposition of frequency components that each have well-defined IFs. The continuous wavelet transform (CWT)-based SST sharpens the time-frequency representa...

2016
Marco Stocchi Maria Ilaria Lunesu Simona Ibba Gavina Baralla Michele Marchesi

The attention of researchers in the field of signal analysis has recently been captured by several kinds of reassignment techniques. Among the reallocation methods the Synchrosqueezing approach maps a continuous wavelet transform from the time-scale to the time-frequency plane, allowing a much more definite and consistent representation of the frequency content of a signal. Its mathematical fou...

Journal: :CoRR 2016
Chen-Yun Lin Su Li Hau-tieng Wu

We propose to combine cepstrum and nonlinear time-frequency (TF) analysis to study mutiple component oscillatory signals with time-varying frequency and amplitude and with time-varying non-sinusoidal oscillatory pattern. The concept of cepstrum is applied to eliminate the wave-shape function influence on the TF analysis, and we propose a new algorithm, named de-shape synchrosqueezing transform ...

2015
T. Raghavendra Vishnu D. Venkata Ratnam J. R. K. Kumar Dabbakuti

COSMIC GPS Radio occultation systems are developed for investigating global ionospheric and tropospheric features of atmosphere ionospheric effects are a major critical concern in radio communications and navigation systems. The predominant ionospheric effect is scintillation, which causes small scale fading in GNSS received signals. Hence, there is a necessity to understand the ionospheric mor...

Journal: :iranian journal of oil & gas science and technology 2016
saman gholtashi mohammad amir nazari siahsar amin roshandelkahoo hosein marvi alireza ahmadifard

seismic waves are non-stationary due to its propagation through the earth. time-frequency transformsare suitable tools for analyzing non-stationary seismic signals. spectral decomposition can reveal thenon-stationary characteristics which cannot be easily observed in the time or frequency representationalone. various types of spectral decomposition methods have been introduced by some researche...

2016
Hau-Tieng Wu Han-Kuei Wu Chun-Li Wang Yueh-Lung Yang Wen-Hsiang Wu Tung-Hu Tsai Hen-Hong Chang

We apply the recently developed adaptive non-harmonic model based on the wave-shape function, as well as the time-frequency analysis tool called synchrosqueezing transform (SST) to model and analyze oscillatory physiological signals. To demonstrate how the model and algorithm work, we apply them to study the pulse wave signal. By extracting features called the spectral pulse signature, and base...

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