The efficient implementation of connected filters is an important issue in signal processing. A typical example is the cascade of two filters, e.g., an adaptive filter with a time-invariant prefilter. The filtering and adaptation is carried out very efficiently in the frequency domain whenever filters with many coefficients are required. This is implemented as a block algorithm by using overlap...

In this paper BP neural network is used for signal processing of automobile millimeter wave radar instead of FFT(Fast Fourier Transform). Simulation results show that BP neural network is superior to FFT. FFT has the drawback such as large computation and frequency spectrum leakage. The BP neural network has three layers(one input layer, one hidden layer, one output layer).The network is traine...

in this article, vibration analysis of an euler-bernoulli beam resting on a pasternak-type foundation is studied. the governing equation is solved by using a spectral finite element model (sfem). the solution involves calculating wave and time responses of the beam. the fast fourier transform function is used for temporal discretization of the governing partial differential equation into a set ...

Decimating a uniformly sampled signal a factor D involves low-pass antialias filtering with normalized cutoff frequency 1/D followed by picking out every Dth sample. Alternatively, decimation can be done in the frequency domain using the fast Fourier transform (FFT) algorithm, after zero-padding the signal and truncating the FFT. We outline three approaches to decimate nonuniformly sampled sign...

The Face is a physiological Biometric trait used in Biometric System. In this paper face recognition using oriented complex wavelets and Fast Fourier Transform (FROCF) is proposed. The five-level Dual Tree Complex Wavelet Transform(DTCWT) is applied on face images to get shift invariant and directional features along ±15o ,± 45o and ± 75o angular directions. The different pose, illumination and...

The difficulty of defecation seriously affects the quality life bedridden elderly. To solve problem that it is difficult to know time elderly, this paper proposed a human pre-defecation prediction method based on multi-domain features and improved support vector machine (SVM) using bowel sound as original signal. includes three stages: extraction, feature optimization, prediction. In stage stat...

For evaluating quality of electrical insulation, it is necessary to measure the property of insulators. Dielectric constant and loss tangent (tans) are two important parameters for determining the property of insulator. The measurement of above parameters is normally based on the time- domain and frequency-domain, which is costly and time consuming. In this study a multiple-frequency binary se...

Complex systems can significantly benefit from condition monitoring and diagnosis to optimize operational availability and safety. However, for most complex systems, multi-fault diagnosis is a challenging issue, as fault-related components are often too close in the frequency domain to be easily identified. In this paper, the interpolated discrete Fourier transform (IpDFT) with maximum sidelobe...

In the present study, a spectral finite element method is developed for free and forced transverse vibration of Levy-type moderately thick rectangular orthotropic plates based on first-order shear deformation theory. Levy solution assumption was used to convert the two-dimensional problem into a one-dimensional problem. In the first step, the governing out-of-plane differential equations are tr...

The Fractional Fourier Transform (FrFT) performs better interference suppression than the fast Fourier Transform (FFT) when the signal-of-interest (SOI) or interference is nonstationary. Minimum mean-square error (MMSE) based filtering in the FrFT domain provides additional benefit in interference suppression in non-stationary environments. However, MMSE filtering requires computational covaria...