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Sini?a Antonijevic,Vicko Doric,Dragan Poljak
Pág. 12 - 19
The algorithm for an indirect time domain (TD) analysis using arbitrary frequency domain method is presented.In previous work, an optimized version of the indirect timedomain method based on adaptive sampling iterative algorithm used in combination with ...
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R. Balamurugan
In this paper, Laser speckle image processing based on Fast Fourier Transform method for displacement measurement is presented. Capturing Laser speckle images before displacement and after displacement of the specimen is the technique involved in this me...
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Silvestar ?esnic,Dragan Poljak
Pág. 137 - 143
The paper deals with an assessment of the influence of finite conductivity to the current induced along the horizontal grounding electrode. Analysis is performed in frequency and time domain, respectively. Current distribution along the grounding electro...
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Georgia Koukiou and Vassilis Anastassopoulos
The Radon transform constitutes the conventional tool for tomosynthesis, i.e., the composition of cross-sections of an object from its projections. It is actually a version of the Fourier Transform, which is accompanied by the appropriate digital high pa...
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Zhe Zhang, Xin Bian and Mingqi Li
Channel estimation is an important component of orthogonal frequency division multiplexing (OFDM) systems. The existence of virtual subcarriers leads to energy spreading in the time-domain when using Inverse Fast Fourier Transform (IFFT), resulting in po...
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Xu Zhan, Xiaoling Zhang, Wensi Zhang, Yuetonghui Xu, Jun Shi, Shunjun Wei and Tianjiao Zeng
High-resolution and wide-swath (HRWS) synthetic aperture radar (SAR) is a promising technique for applications such as maritime surveillance. In the maritime environment, normally only a few targets such as ships are interested. However, before detecting...
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Xuefei Ma, Waleed Raza, Zhiqiang Wu, Muhammad Bilal, Ziqi Zhou and Amir Ali
Machine learning and deep learning algorithms have proved to be a powerful tool for developing data-driven signal processing algorithms for challenging engineering problems. This paper studies the modern machine learning algorithm for modeling nonlinear ...
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Stephen Orimoloye, Harshinie Karunarathna and Dominic E. Reeve
An understanding of the wave height distribution of a sea state is important in forecasting extreme wave height and lifetime fatigue predictions of marine structures. In bimodal seas, swell can be present at different percentages and different frequencie...
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