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LFSR-Based Stochastic Sequence Generators

Approximate Multiplier Design with LFSR-Based Stochastic Sequence Generators for Edge AI

Original price was: ₹16,000.00.Current price is: ₹8,000.00.

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Source : Verilog HDL

Base Paper Abstract:

This letter introduces an innovative approximate multiplier (AM) architecture that leverages stochastically generated bit streams through the Linear Feedback Shift Register (LFSR). The AM is applied to matrix-vector multiplication (MVM) in Neural Networks (NNs). The hardware implementations in 90 nm CMOS technology demonstrate superior power and area efficiency compared to state-of-the-art designs. Additionally, the study explores applying stochastic computing to LSTM NNs, showcasing improved energy efficiency and speed.

List of the following  materials will be included with the Downloaded Backup:

1. Source code ( Modelsim/ Xilinx/ Quartus/ DSCH3/ Microwind)
2. Existing and Proposed Project Comparison with output video 
3. Basic Documentation (20 to 30 Pages):
3.1 Proposed Title
3.2 Proposed Abstract
3.3 Advantages & Disadvantages
3.4 Improvement of this Project
3.5 Existing System with Notes
3.6 Proposed System with Notes
3.7 Literature Survey
3.8 Software Related Notes
3.9 VLSI and HDL Language / Tanner Notes
3.10 References & Reference Paper for More Pages
4. Online Support ( Any Desk / Zoom / Google Meet)

 

Improvement of this project:

  • As per the paper design developed the approximate multiplier using stochastic sequence and proved the results.
  • To design the Approximate Divider design using Stochastic Sequence Generators and compare with Approximate Multiplier.
  • Finally synthesize this two work using Xilinx Spartan 6 Lx9 FPGA, and compared all the parameters in terms of area, delay and power.
Software Implementation:
  • Modelsim
  • Xilinx

” Thanks for Visit this project Pages – Buy It Soon “

Design and FPGA Implementation of LFSR-Based Approximate Multiplier and Divider Using Stochastic Sequence Generators

 

Terms & Conditions:

  • Customer are advice to watch the project video file output, before the payment to test the requirement, correction will be applicable.
  • After payment, if any correction in the Project is accepted, but requirement changes is applicable with updated charges based upon the requirement.
  • After payment the student having doubts, correction, software error, hardware errors, coding doubts are accepted.
  • Online support will not be given more than 3 times.
  • On first time explanations we can provide completely with video file support, other 2 we can provide doubt clarifications only.
  • If any Issue on Software license / System Error we can support and rectify that within end of the day.
  • Extra Charges For duplicate bill copy. Bill must be paid in full, No part payment will be accepted.
  • After payment, to must send the payment receipt to our email id.
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LFSR-Based Stochastic Sequence Generators Approximate Multiplier Design ...

Original price was: ₹16,000.00.Current price is: ₹8,000.00.

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