Time-Frequency Analysis and Its Applications to Multimedia Signals

Time-Frequency Analysis and Its Applications to Multimedia Signals

Discrimination of Power Quality Distorted Signals Based on Time-frequency Analysis and Probabilistic Neural Network

Recognition and classification of Power Quality Distorted Signals (PQDSs) in power systems is an essential duty. One of the noteworthy issues in Power Quality Analysis (PQA) is identification of distorted signals using an efficient scheme. This paper recommends a Time–Frequency Analysis (TFA), for extracting features, so-called "hybrid approach", using incorporation of Multi Resolution Analysis...

Parametric Time-Frequency Analysis and Its Applications in Music Classification

Analysis of nonstationary signals, such as music signals, is a challenging task. The purpose of this study is to explore an efficient and powerful technique to analyze and classify music signals in higher frequency range (44.1 kHz). The pursuit methods are good tools for this purpose, but they aimed at representing the signals rather than classifying them as in Y. Paragakin et al., 2009. Among ...

Time-Frequency Analysis of Radar Signals

It has been well understood that a given signal can be represented in an infinite number of different ways. Of course, different signal representations can be used for different applications. Despite the fact that the number of ways describing a given signal are countless, the most “popular”, important and fundamental variables are: time and frequency. The time domain indicates how a signal’s a...

Time-frequency analysis of seismic reflection signals

In this paper we show the implementation of bilinear time-frequency representations in the interpretation of seismic data. In seismic stratigraphy the reeection patterns in seismic data are interpreted in terms of subsurface stratiication and lithological properties. The time-frequency representation clearly elicits seismic reeection patterns and can thus provide useful information on subsurfac...