Bearings are integral components of rotating machinery and their failure tends to be a catastrophic the machine. Poincare Maps used detect bearing failures using concept non-linear dynamics. Each time-domain vibration signature array has its own Map over period time. Fast Fourier Transform (FFT) is method analysing frequency plots signature. Convolutional Neural Networks (CNN) process Continuou...

This paper describes the implementation of Single-objective Genetic Algorithm (SOGA) and Multi-objectives Genetic Algorithm (MOGA) to optimize the pipelined Fast Fourier Transform (FFT) coefficient in order to improve the performance of Signal to Noise Ratio (SNR) and also the Switching Activity (SA). The SA and SNR are optimized separately in a Radix-4 Single Path Delay Feedback (R4SDF) pipeli...

The standard method for spectrum analysis in digital signal processing (DSP) is the discrete Fourier transform (DFT), typically implemented using a fast Fourier transform (FFT) algorithm. However, there are applications that require spectrum analysis only over a subset of the N center frequencies of an N-point DFT. A popular, as well as efficient, technique for computing sparse DFT results is t...

The aim of this work is the application of the phase variation in vibration signal for fault detection on rotating machines. The vibration signal from the machine is modulated in amplitude and phase around a carrier frequency. The modulating signal in phase is determined after the Hilbert transform and is used, with the Fast Fourier Transform, to extract the harmonics spectrum in phase. This me...

ABSTRACT: Several new generation wideband data communication systems nowadays, have adopted Orthogonal Frequency division Multiplexing technique. FFT/IFFT is one of the main kernel in the OFDM system, therefore, special attention needs to be given to optimize the FFT block. Hence, utilizing low power, area efficient as well as high speed multipliers and adders in Fast Fourier Transform will ens...

Vibration condition monitoring is a non-devastating technique that can be performed to detect tooth cracks propagating in gear systems. This paper proposes apply new methodology using time-domain analysis, frequency-domain and statistical process control charts (SPCC) for crack detection of 10 DOF dynamic model spiral bevel system (SBGS). The mesh stiffness effect used the has been studied anal...

0018-9251/03/$17.00 @ 2003 IEEE Two-way antenna radiation pattern at frequency w + wc, Slow-time Doppler two-way antenna radiation pattern Pulse bandwidth Speed of light Covariance of w(k,,t) at time t Cross-range aperture length Energy of RJt) Energy of p( t ) Point target refectivity Fourier transform operator Inverse Fourier transform operator Fourier transform of electric field in antenna a...

The nonstationary nature of signals and nonlinear systems require the time-frequency representation. In time-domain signal, frequency information is derived from the phase of the Gabor’s analytic signal which is practically obtained by the inverse Fourier transform. This study presents time-frequency analysis by the Fourier transform which maps the time-domain signal into the frequency-domain. ...

In this paper, the fast Fourier transform (FFT) to perform spatial convolutions of the time domain discrete Green’s functions (DGF) method related to the analysis of the antenna with more than one dimension has been proposed. For this aim, the discrete Green’s functions and the currents on the antenna have been appropriately defined periodic so as to use the zero padded fast Fourier transform. ...

Compressed sensing (CS) is a sampled approach on signal sparsity-base, and it can effectively extract the information which is contained in the signal. This paper presents a noisy speech enhancement new method based on CS process. Algorithm uses a voice sparsity in the discrete fast Fourier transform (Fast Fourier transform, FFT), and complex domain observation matrix is designed, and the noisy...