Easy-filter: A Design, Verification, and Validation Tool for Finite Impulse Response (FIR) Filter




Kumari, Anshu

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Due to increasing hardware design complexity and cutting-edge competition for the short time-to-market requirement, functional verification becomes the primary challenge in the hardware design development project. The essential parts to verify any systems are design code and testbench code. However, it is very labor-intensive to write these codes and prone to manual errors. The idea behind this thesis is to develop a user-friendly graphical user interface (GUI) that helps Verification Engineers to generate design and testbench code. GUI also validate these codes by comparing with MATLAB results more efficiently and in less time. Often, it is challenging to finish the debugging in due time because of obvious reasons such as coming across several design changes at any time. It means that they must rewrite their design and test benches. These changes become a significant issue if they happen right before tape out. The proposed system automates the design implementation of the FIR filter, which engineers can easily modify in less time. The first step is to generate the design and testbench code of the FIR filter and simulate using Modelsim. The second step is to validate this design by comparing its results against already existing well established MATLAB's results. Filters of some sorts are essential to the operation of most electronic circuits. Our proposed system can save a significant amount of time for engineers because it can generate design code, testbench code, and validate it, all in one system. The GUI generated Verilog codes are synthesizable. The simulation results show that GUI based FIR filter’s design is fast, convenient, flexible, and error-free.



verilog, Graphical User Interface, Finite Impulse Response (FIR) filter, window function, floating-point conversion, MATLAB, functional verification


Kumari, A. (2020). Easy-filter: A design, verification, and validation tool for Finite Impulse Response (FIR) filter (Unpublished thesis). Texas State University, San Marcos, Texas.


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