Madhubanti Maitra

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The paper presents a new approach for automated segregation of brain MR images, using an improved orthogonal discrete wavelet transform (DWT), known as the Slantlet transform (ST), and a fuzzy c-means (FCM) clustering approach. ST has excellent time-frequency resolution characteristics and these can be achieved with shorter supports for the filter, compared(More)
Madhubanti Maitra, Debashis Saha, Partha S. Bhattacharjee, and Amitava Mukherjee Department of Electrical Engineering, Jadavpur University, Calcutta 700032, India m_madhubanti@hotmail.com MIS and Computer Science Group Indian Institute of Management (IIM)-Calcutta, Calcutta 700 104, India ds@iimcal.ac.in BSNL, Calcutta Telephones, Calcutta 700001, India(More)
If a fault occurs in the distribution system, for protectivity and reliability, the fault should be immediately cleared and the system should be re-energized. It is mandatory to ensure that upon re-energization, overcurrent, if encountered, may be due to inrush of current and not for the persistent fault. Hence, it could be impossible to protect the(More)
Next generation wireless technologies offer various services from voice call to full motion pictures and even to high speed internet access. Consequently, the service providers (SP) armed with different wireless technologies (like 2.5G/3G/LTE) would require an adequate and significant amount of spectrum bandwidth for satisfying the need of their customers.(More)