M
Madhumita Mukherjee
Researcher at Jadavpur University
Publications - 7
Citations - 27
Madhumita Mukherjee is an academic researcher from Jadavpur University. The author has contributed to research in topics: Field-programmable gate array & VHDL. The author has an hindex of 2, co-authored 7 publications receiving 26 citations.
Papers
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Proceedings Article
Design and implementation of FPGA based interface model for scale-free network using I2C bus protocol on Quartus II 6.0
Palaniandavar Venkateswaran,Madhumita Mukherjee,Arindam Sanyal,Snehasish Das,Rabindranath Nandi +4 more
TL;DR: A generic design on an FPGA platform is presented, which does away with the need of any further programming while setting up the network and can be used both as a master and as a slave.
Design and implementation of FPGA based interface model for scale-free network using I2C bus protocol on Quartus II 6.0
Palaniandavar Venkateswaran,Madhumita Mukherjee,Arindam Sanyal,Snehasish Das,Rabindranath Nandi +4 more
TL;DR: In this paper, a generic I2C-enabled FPGA model is presented, which does away with the need of any further programming while setting up the network and can be used both as a master and as a slave.
Proceedings ArticleDOI
Design of a High-speed Reconfigurable Fast Hartley Transform Processor using CBNS
TL;DR: Significant improvement in path delay has been observed in CBNS-FHT processor both in terms of FHT coefficients as well as the size of the FHT, leading to the design of a high speed FHT processor.
Proceedings ArticleDOI
Design of CBNS Nibble Size adder using pass transistor logic circuit: Extension to FPGA implementation
TL;DR: Gate level implementation of the proposed adder on Spartan 3A, XC3S700A FPGA platform reveals 72.8 % reduction in number of LUTs and 51.4% reduction in path delay over existing CBNS based circuits.
Journal ArticleDOI
2-D Systolic Array architecture of CBNS based Discrete Hilbert Transform Processor
TL;DR: CBNS-CFFT shows significant improvement in path delay and area consumption as compared to NBNS-cFFT for both Twiddle Factors and FFT size, which proves that CBNS based CFFT and DHT processor design is more efficient in terms of speed and area requirements.