In this paper, we introduce a SAR images target recognition approach based on the contourlet transform and support vector machine (SVM), which takes technological advantages of both SVM and the contourlet transform for feature extraction.

Doppler radar tomography is a technique which uses only the Doppler profiles of a rotating target as projections in two-dimensional radar tomography to obtain an image of the target. The work demonstrates, for the first time, the application of the fractional Fourier transform and the S-Method in improving the image resolution. The performance is shown to be significantly better than that avail...

This paper proposes a speech signal enhancement method in which the wavelet transform scales and thresholds both are adaptive depending on the input noisy signal affected by Additive White Gaussian Noise (AWGN). The proposed Estimated Noise and Adaptive Threshold Bionic Wavelet Transform (ENAT-BWT) method analyses the incoming noisy speech signal at 22 scales, from 7 to 28, of the BWT for negat...

BACKGROUND Quantitative PCR (qPCR) is a workhorse laboratory technique for measuring the concentration of a target DNA sequence with high accuracy over a wide dynamic range. The gold standard method for estimating DNA concentrations via qPCR is quantification cycle () standard curve quantification, which requires the time- and labor-intensive construction of a standard curve. In theory, the sha...

The accuracy of target position detection in IR seeker depends on the accuracy of tracking error signal (TES) extraction from seeker Field of View (FOV). The type of reticle inside the seeker determines the output modulation signal that carries the TES. In this paper, the stationary wagon wheel reticle is used, which makes the type of the output signal as FM modulation in the linear region of F...

In spite of an extensive literature on fast algorithms for synthetic aperture radar (SAR) imaging, it is not currently known if it is possible to accurately form an image from N data points in provable near-linear time complexity. This paper seeks to close this gap by proposing an algorithm which runs in complexity O(N logN log(1/ )) without making the far-field approximation or imposing the be...

It is well known that the discrete Fourier transform (DFT) of a second order stationary time series between two distinct Fourier frequencies are asymptotically uncorrelated. In contrast we show that for a large class of second order nonstationary time series, including locally stationary time series, the covariance between the Fourier frequencies is non-zero. Indeed the correlations between the...

Ultra-wideband pulse radars are promising candidates for 3-dimensional environment measurements by autonomous robots. Estimating 3-dimensional target shapes by scanning with an omni-directional antenna is an ill-posed inverse problem. Conventional algorithms such as the synthetic aperture method or parametric algorithms have a problem in terms of their calculation times. We have clarified the e...

The traditional hearing aid fitting method, which mainly relies on the audiologist, is timeconsuming and messy. To improve this situation, a self-fitting algorithm based on an improved interactive evolutionary computation (IEC) algorithm and expert system, which enables the patients to fit the hearing aid by themselves, is proposed. The algorithm takes the band gain as the fitting target and us...

In this paper, we demonstrate the use of state-of-the-art speech technology to transform speech from a source speaker to mimic a particular target speaker with the intention of providng personalized voices to users of Speech Generating Devices (SGDs). This speaker mimicry (SM) capability allows us to use highquality acoustic inventories from professional speakers and transform them to a differe...