Induction motors are a critical component of many industrial processes and are frequently integrated in commercially available equipment and industrial processes. The studies of induction motor behavior during abnormal conditions, and the possibility to diagnose different types of faults have been a challenging topic for many electrical machine researchers. The Motor Current Signature Analysis ...

Single-channel speech enhancement is often formulated in the Short-Time Fourier Transform (STFT) domain. As an alternative, several previous studies have reported advantages of speech processing using pitch-synchronous analysis and filtering in the modulation transform domain. We propose to use the Double Spectrum (DS) obtained by combining pitchsynchronous transform followed by modulation tran...

This letter addresses the coherent integration problem for detecting high-speed target. A fast method based on short-time Fourier transform (STFT) and sequence reversing (SRT), that is, STFT-SRT, is proposed. In this method, STFT first employed to obtain velocity improve SNR without additional calculation. After that, SRT presented remove range migration (RM). Finally, (FT) conducted achieve in...

Two popular spectral-based approaches for estimating the evolutionary power spectral density (EPSD) function from samples of process are based on short-time Fourier transform (STFT) and continuous wavelet transform. Both rely concept slowly varying modulation or EPSD function, although quantification effect 'slow' variation in estimated is elusive. We propose, present study, to use derivatives ...

This article describes an application the author developed in order to compare analysis and synthesis of musical audio signals through Short Time Fourier transform (STFT), Constant Q and Sliding Discrete Fourier Transform (SDFT). This software is the basis for applications of SDFT and Constant Q to other consolidated synthesis techniques. By itself, it is a stand alone instrument for calculatin...

We address the problem of recovering a signal (up to global phase) from its short-time Fourier transform (STFT) magnitude measurements. This problem arises in several applications, including optical imaging and speech processing. In this paper we suggest three interrelated algorithms. The first algorithm estimates the signal efficiently from noisy measurements by solving a simple least-squares ...

In this paper we present a new methodology for computing a time-frequency map for non-stationary signals using the continuous wavelet transform (CWT). The conventional method of producing a time-frequency map using the Short Time Fourier Transform (STFT) limits the time-frequency resolution by a pre-defined window length. In contrast, the CWT method does not require pre-selecting a window lengt...

The short-time Fourier transform (STFT) is a timefrequency representation widely used in audio signal processing. Recently it has been shown that not only the amplitude, but also the phase of this representation can be successfully exploited for improved analysis and processing. In this paper we describe a rather peculiar pole phenomenon in the phase derivative, a recurring pattern that appears...

Most speech enhancement algorithms make use of the short-time Fourier transform (STFT), which is a simple and flexible time-frequency decomposition that estimates the short-time spectrum of a signal. However, the duration of short STFT frames are inherently limited by the nonstationarity of speech signals. The main contribution of this paper is a demonstration of speech enhancement and automati...

FFT-based nonuniform filter banks are proposed based on channelsized inverse FFTs applied to nonuniform frequency-partitions (or overlap-add decompositions) of the Short Time Fourier Transform (STFT). Audio filter banks (particularly octave filter banks) are considered as application examples. Trade-offs discussed include perfect reconstruction, aliasing cancellation, flexibility of filterchann...