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    <name>PhD</name>
    <description>PhD Thesis</description>
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              <text>61000430</text>
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          <name>Title</name>
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              <text>Non-Invasive Early and Precise Detection of Breast Tumor with Novel UWB Radar Pulse  </text>
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              <text>Electrical and Electronics Engineering</text>
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              <text>Impulse Radio Ultra-Wideband is emerging as a superior breast cancer detection technique compared to ultrasound, magnetic resonance newlineimaging and X-ray mammography due to its high resolution, nonionizing radiation, effectiveness in dense tissues and cost-effectiveness. Radar-based Ultra-Wideband technology is a viable, non-invasive newlinetechnique for detecting breast cancer. The Ultra-Wideband signal must be safe to penetrate deep into human breast with minimal attenuation and comply with Federal Communication Commission regulations to newlineensure early, precise detection of deep-rooted malignant tumor inside newlineheterogeneous breast. In this research work, a shaped Ultra-Wideband Gaussian pulse of newlineseventh order is employed in a radar-based breast cancer detection system. A sharp transition bandpass Finite Impulse Response filter is designed in this work for safe, deep penetration and optimal transmission through the heterogeneous breast. The pulse shaper filter design has a sharp transition with a low side lobe level and can be tuned newlineto any variable center frequency. This design is suitable for shaping very short-duration pulses, achieving higher data rate and less newlineinterference issues. Also, the pulse tightly fits the Federal Communication Commission spectral mask, thus achieving higher spectral utilization efficiency and meets the signal safety standards for transmission through the breast. The shaped pulse fed to the antenna of the radar system provides higher antenna radiation efficiency and radiating power due to the concentration of power in the main lobe. This research work employs bistatic and monostatic radar systems to detect the deep-rooted and smallest formation of the malignant tumor in the breast. Tumor detection is based on the time and frequency newlinedomain analysis of the backscattered signals from the malignant tumor. These signals have higher amplitude, higher electric field intensity variations and an increase in the scattering parameter values due to the newlinepresence of tumor.</text>
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              <text>Devika, Menon M K</text>
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              <text>Christ(Deemed to be University)</text>
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          <name>Date</name>
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              <text>2024-01-01</text>
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              <text>Rodrigues, Joseph</text>
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              <text>Open Access</text>
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          <name>Format</name>
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              <text>PDF</text>
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              <text>English</text>
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              <text>PhD</text>
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              <text>&lt;a href="http://hdl.handle.net/10603/617401" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/617401&lt;/a&gt;</text>
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