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  4. FIR Filter Design Based On FPGA - 2018
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Category: MTech VLSI Projects
By MTech Projects
MTech Projects
11.Oct
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FIR Filter Design Based On FPGA - 2018

PROJECT TITLE :

FIR Filter Design Based On FPGA - 2018

ABSTRACT:

FIR (Finite Impulse Response) filters: the finite impulse response filter is the foremost basic parts in Digital Signal Processing systems and are widely used in Communications, Image Processing, and Pattern Recognition. Primarily based on FPGA (editable logic device) to achieve FIR filter, not solely take into consideration the fixed-perform DSP-specific chip real-time, however conjointly has the DSP processor flexibility. The combination of FPGA and DSP technology can more improve integration, increase work speed and expand system capabilities.

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  • Efficient FPGA implementation of convolution
  • Overloaded CDMA Crossbar for Network-On-Chip - 2017
  • COMEDI: Combinatorial Election of Diagnostic Vectors From Detection Test Sets for Logic Circuits - 2017
  • A Modified Partial Product Generator for Redundant Binary Multipliers - 2016
  • Measuring Improvement When Using HUB Formats to Implement Floating-Point Systems Under Round-to-Nearest - 2016
  • Design and implementation of fast floating point multiplier unit - 2015
  • Efficient Designs of Multi ported Memory on FPGA - 2017
  • Low power compressor based MAC architecture for DSP applications - 2015
  • Design and Implementation of Reversible Watermarking for JPEG2000 Standard
  • Full-Swing Local Bitline SRAM ArchitectureBased on the 22-nm FinFET Technologyfor Low-Voltage Operation - 2016
Previous article: Tap Delay-and-Accumulate Cost Aware Coefficient Synthesis Algorithm for the Design of Area-Power Efficient FIR Filters - 2018 Tap Delay-and-Accumulate Cost Aware Coefficient Synthesis Algorithm for the Design of Area-Power Efficient FIR Filters - 2018 Next article: Area and Power Efficient VLSI Architecture of Distributed Arithmetic Based LMS Adaptive Filter - 2018 Area and Power Efficient VLSI Architecture of Distributed Arithmetic Based LMS Adaptive Filter - 2018
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