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| Paper Type | : | Research Paper |
| Title | : | A Staggered PRF MTI Ground Radar Simulator For Space Time Processing In Multi-Target And Jamming Environments |
| Country | : | India |
| Authors | : | Venkata Krishna Rao Maddela |
 |
: | 10.9790/4200-16010108  |
ABSTRACT: The traditional moving target indicator (MTI) radars perform range-doppler processing using MTI filters or FFT filter bank for ground clutter rejection and identifying and estimating velocities of the moving targets. These radars may use physical antennas with tracking capability or phased array antennas to electronically scan the beam. The radar may also employ Space Time Processing (STP)with an electronically scanned antenna beam to spatially filter out the clutter and to identify the target directions. The stand-alone narrow band DOA......
Keywords - Space Time Processing, Staggered PRF, MTI Radar, Pulse-doppler processing.
[1]
Merrill I. Skolnik, Introduction To Radar Systems, 2nd Edition, 1981, Mcgraw-Hill.
[2] Fred E Nathanson, Radar Design Principles, 2nd Edition, 1991, Mcgraw-Hill.
[3]
Parhizgar, Parisa & Parhizgar, Parsa & Parhizgar, Naser & Dehghani, Zahra. Implementation Of Digital Signal Processor For Pulse Doppler Radar. Computer Networks And Communications. 2023; 1(2): 309-324 Https://Doi.Org/10.37256/Cnc.12202336 89
[4]
Mohammad A. Rahaman, Et. Al., A Study On Digital MTI Processors & Frequency Pulse, International Journal Of Innovative Science And Research Technology, October 2025, 10(10): 1820-1837. Https://Www.Ijisrt.Com/A-Study-On-Digital-Mti-Processors-Frequency-Pulse
[5] Riabukha, V.P., Semeniaka, A.V.,. Et Al. Comparative Experimental Investigations Of Adaptive And Non-Adaptive MTI Systems In Pulse Radars Of Various Applications And Wave Ranges. Radioelectronics And Communications Systems, 2022, 65:165–176. Https://Doi.Org/10.3103/S073527272204001X.
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| Paper Type | : | Research Paper |
| Title | : | An Automated Approach For Brain Tumor Detection And Classification In MRI Using SVM |
| Country | : | India |
| Authors | : | Anaswara Viswanath |
|
: | 10.9790/4200-16010917 |
ABSTRACT: Background: Brain tumors are abnormal and uncontrolled growths within the brain that can disrupt normal brain function and damage surrounding healthy tissues. Early and accurate detection of brain tumors is critical for effective treatment planning and improved patient outcomes. Magnetic Resonance Imaging (MRI) is widely regarded as the most effective imaging modality for visualizing brain structures and identifying tumors. Automated segmentation......
Keywords - Brain Tumor; MRI; Segmentation; Support Vector Machine (SVM); Berkeley Wavelet Transform (BWT); Feature Extraction; Classification
[1].
American Brain Tumor Association, Http://Www.Abta.Org.
[2].
A. Demirhan, M. Toru, And I. Guler, “Segmentation Of Tumor And Edema Along With Healthy Tissues Of Brain Using Wavelets And Neural Networks,” IEEE Journal Of Biomedical And Health Informatics, Vol. 19, No. 4, Pp. 1451–1458, 2015.
[3].
S. Madhukumar And N. Santhiyakumari, “Evaluation Of K-Means And Fuzzy C-Means Segmentation On MR Images Of Brain,” Egyptian Journal Of Radiology And Nuclearmedicine, Vol. 46, No. 2, Pp. 475–479, 2015.
[4].
Y. Kong, Y. Deng, And Q. Dai, “Discriminative Clustering And Feature Selection For Brain MRI Segmentation,” IEEE Signal Processing Letters, Vol. 22, No. 5, Pp. 573–577, 2015.
[5].
M. T. El-Melegy And H. M. Mokhtar, “Tumor Segmentation In Brain MRI Using A Fuzzy Approach With Class Center Priors,” EURASIP Journal On Image And Video Processing, Vol. 2014, Article No. 21, 2014.