This paper presents a review of spectral decomposition of seismic data, since it's inception nearly in 1997. It discusses various techniques and applications of spectral decomposition in seismic data processing and interpretation. It is also known as timefrequency analysis consists of transforming non stationary signal in time/space from time/space domain to time/space vs frequency domain. The ...

– A novel approach to harmonic and interharmonic analysis, based on the “subspace” methods, is proposed. Min-norm harmonic retrieval method is an example of high-resolution eigenstructure-based methods. The Wigner-Ville representation was also tested for timefrequency analysis of electric signals. The high-resolution methods do not show the disadvantages of the traditional tools and allow exact...

The present study applies a new method for investigating dynamic unconscious processes. The method consists of (1) selection of words from patient interview and test protocols that in the clinicians’ judgments capture the patients’ conscious symptom experience (i.e., phobia) and the hypothetical unconscious conflict related to the symptom, (2) subliminal and supraliminal presentation of these w...

Novel methods of cardiac rhythm detection are proposed that are based on time-frequency analysis by a weighted overlap-add (WOLA) oversampled filterbank. Cardiac signals are obtained from intracardiac electrograms and decomposed into the timefrequency domain and analyzed by parallel peak detectors in selected frequency subbands. The coherence (synchrony) of the subband peaks is analyzed and emp...

Digital Sound Synthesis has been an exciting field of research over the last two to three decades. The idea is mainly to generate sound artificially using a system. A lot of work has been done in the past for synthesis of musical tones of stringed instruments. In this work, attempt is made for synthesizing Harmonium music using the techniques of Physical Modeling based on Digital Waveguides. In...

We propose and demonstrate a wavelengthand time-selective reconfigurable optical add/drop multiplexer (ROADM) using timefrequency domain processing. The proposed ROADM is realized by allocating wavelength channels and time slots to corresponding 2D spatial channels on a MEMS optical switch. Experimental results show the wavelengthand time-selective drop operation for a signal with equivalent 3....

The Gaussian distribution is an inadequate description of certain types of real-life noise that display impulsive characteristics. The α-stable distribution has been suggested as a more appropriate model. Bilinear timefrequency representations (TFRs) and time-scale representations (TSRs) have been used to efficiently implement detectors of non-stationary signals in Gaussian noise. In this paper...

In this paper a local Radon representation is proposed and applied to 3-D seismic data analysis. The derivation of the local Radon power spectrum is based on an extension of the relation between the global Radon transform and multi-dimensional Fourier transform to the non-stationary case. This Wigner-Radon power spectrum is closely related to the Cohen’s class of quadratic timefrequency represe...

S-transform is a new time-frequency analysis method, which is deduced from short-time Fourier transform and continue Wavelet transform. It has much better performance than traditional time-frequency method. Therefore, in this paper, the basic principle of is briefly introduced and the relationships between is analyzed by theoretical derivation. According to the simulation experiments, the time-...

We present a method to search for transient GWs using a network of detectors with different spectral and directional sensitivities: the interferometer Virgo and the bar detector AURIGA. The data analysis method is based on the measurements of the correlated energy in the network by means of a weighted cross-correlation. To limit the computational load, this coherent analysis step is performed a...