Papers by Vahid Hassanzade
A Time-Reversal ( TR) imaging method for multiple targets that incorporates fewer transmitters is... more A Time-Reversal ( TR) imaging method for multiple targets that incorporates fewer transmitters is suggested using temporal filtering and Frequency Focusing (FF) matrices. This study is intended for the detection of malignant breast tumors with minimal microwave radiation. A couple of scenarios with two and four tumors are considered here. Using only two transmitters and twelve receivers, we show that two tumors could be detected in an inhomogeneous tissue breast. The results are compared with conventional TR Multiple Signal Classification method (MUSIC), which requires more transmitters. It is shown that several well-resolved tumors that exceed transmitters could be detected by subregion Spatio-Temporal Filtering (SSTF). In our proposed method, we used the orthogonal subspace instead of the signal subspace to have a higher Signal to Clutter Ratios (SCR). Since the Born approximation is not used, multiple scattering is considered. In addition, white Gaussian noise is added to measure...
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2018 Fifth International Conference on Millimeter-Wave and Terahertz Technologies (MMWaTT), 2018
This paper presents a novel substrate integrated waveguide (SIW) slot base station antenna for 5G... more This paper presents a novel substrate integrated waveguide (SIW) slot base station antenna for 5G application at 28 GHz. In order to be robust against fading, polarization of the antenna is circular. The antenna includes a crossover slot SIW antenna with a cavity to increase gain and have a better axial ratio. One of the unique advantages of this antenna is covering the area with circularly polarization and adding one port to the antenna that causes to connect with more users at the same frequency. The antenna is simulated with two different methods and the results are verified.
A Time-Reversal ( TR) imaging method for multiple targets that incorporates fewer transmitters is... more A Time-Reversal ( TR) imaging method for multiple targets that incorporates fewer transmitters is suggested using temporal filtering and Frequency Focusing (FF) matrices. This study is intended for the detection of malignant breast tumors with minimal microwave radiation. A couple of scenarios with two and four tumors are considered here. Using only two transmitters and twelve receivers, we show that two tumors could be detected in an inhomogeneous tissue breast. The results are compared with conventional TR Multiple Signal Classification method (MUSIC), which requires more transmitters. It is shown that several well-resolved tumors that exceed transmitters could be detected by subregion Spatio-Temporal Filtering (SSTF). In our proposed method, we used the orthogonal subspace instead of the signal subspace to have a higher Signal to Clutter Ratios (SCR). Since the Born approximation is not used, multiple scattering is considered. In addition, white Gaussian noise is added to measurement simulations. A 3-GHz modulated Gaussian pulse with a 1-GHz bandwidth is employed for illuminating the medium. Finite-Element Time-Domain method (FETD) is used in the measurement simulations, and the analytic Green’s function of the background is utilized for backpropagation. Several simulations are provided that show the effectiveness of this approach.
Electrical Engineering (ICEE), Iranian Conference on, 2018
Image compression is an absolute need for current multimedia storage/communication situations. Se... more Image compression is an absolute need for current multimedia storage/communication situations. Several image compression algorithms are in daily use. In this paper we consider rank reduction algorithm based on singular value decomposition (RR-SVD), when applied to JPEG coded images. The SVD-based rank reduction algorithm compresses the image by eliminating some of its singular values based on human eye sensitivity. We evaluate the performance of RR-SVD when applied to the whole image in comparison with its block-based application on a number of images in different resolutions and with different compression parameters. We focus on compression ratio (CR), compression time and compressed image quality versus the original image. Our results indicate that block-based application of RR-SVD outperforms whole image application in most cases with a noticeable margin depending on the resolution. Also, we provide suggestions for choosing the optimum operating point based on our results.
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Papers by Vahid Hassanzade