Also Available Domains Xilinx Vivado|Xilinx ISE
One-to-one mapping from input to output is the necessary condition for a reversible computational model transiting from one state of abstract machine to another. Probably, the biggest motivation to study reversible technologies is that, it is considered to be the best effective way to enhance the energy efficiency than the conventional models. The research on reversibility has shown greater impact to have enormous applications in emerging technologies such as Quantum Computing, QCA, Nanotechnology and Low Power VLSI. In this paper, we have realized novel reversible architecture of Linear Feedback Shift Register (LFSR) and Parallel Signature Analyzer (PSA) and have explored these in terms of delay, quantum cost and garbage. While approaching for LFSR, we have shown new reversible realization of Serial Input Serial Output (SISO) and Serial Input Parallel Output (SIPO) registers up to N-bit and analyzed their delay, quantum cost & garbage in terms of some lemmas, which will outperform the existing designs available in literature. The design is simulated, synthesized and delay, power, area estimation was done using Xilinx 14.3.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Hardware requirement
Speed - 1.1 GHz
RAM - 1 GB (min)
Hard Disk - 40 GB
Floppy Drive - 1.44 MB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
Software requirements
v Operating System: Windows95/98/2000/XP/Windows7
v Front End: Modelsim 6.3 for Debugging and Xilinx 14.3 for Synthesis and Hardware Implementation
v This softwareβs where Verilog source code can be used for design implementation.
Β· Xilinx tool for writing code, synthesis and simulation
Β· Solution providing for real time problems
Β· 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