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

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

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