Also Available Domains Xilinx Vivado
The main aim of the IIR design is realized by parallel–pipeline-based finite impulse response (FIR) filter. The FIR filters have excellent characteristics such as high stability, linear phase response and fewer finite precision errors.
This paper presents an improved design of reconfigurable infinite impulse response (IIR) filter that can be widely used in real-time applications. The proposed IIR design is realized by parallel–pipeline-based finite impulse response (FIR) filter. The FIR filters have excellent characteristics such as high stability, linear phase response and fewer finite precision errors. Hence, FIR-based IIR design is more attractive and selective in signal processing. In addition, the other two modern techniques such as look-ahead and two-level pipeline IIR filter designs are also discussed. The implementation results show that the proposed FIR-based IIR design yields better performance in terms of hardware utilization, higher operating speed and lower power consumption compared to conventional IIR filter
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Software Requirements:
· Xilinx Vivado 2018.3
· HDL: Verilog
Learning Outcomes:
o Data Flow modeling
o Structural modeling
o Behavioral modeling
o Mixed level modeling
· Xilinx ISE 14.7/Xilinx Vivado for design and simulation
· Generation of Netlist
· Solution providing for real time problems
· Project Development Skills:
o Problem Analysis Skills
o Problem Solving Skills
o Logical Skills
o Designing Skills
o Testing Skills
o Debugging Skills
o Presentation Skills
o Thesis Writing Skills