1 / 24

Boxcar FIR Filter

Boxcar FIR Filter. Shadi Hawawini Pearl Yuan Amr Darwish Karun Malhotra Advisor: Dr. Parent May 8, 2006. Agenda. Abstract Introduction Why Simple Theory Background Information Summary of Results Project (Experimental) Details Results Cost Analysis Conclusions. Abstract.

Anita
Download Presentation

Boxcar FIR Filter

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Boxcar FIR Filter Shadi Hawawini Pearl Yuan Amr Darwish Karun Malhotra Advisor: Dr. Parent May 8, 2006

  2. Agenda • Abstract • Introduction • Why • Simple Theory • Background Information • Summary of Results • Project (Experimental) Details • Results • Cost Analysis • Conclusions

  3. Abstract • We designed a 4-bit Finite Impulse Response (FIR) Filter that operates at 200 MHz • Impulse Response - A set of FIR coefficients, which represent all possible frequencies. • Tap - A coefficient/delay pair. The number of FIR taps is an indication of the amount of memory required to implement the filter.

  4. Introduction • One of the most fundamental elements for a DSP system is an FIR Filter. • There is no feedback, which results in a finite output value of zero. • The filter is mathematically expressed using the following difference equation:

  5. FIR Block Diagram • The FIR Filter consist of three main components: • 1) A D Flip-Flop to implement a simple delay. • 2) A Multiplier to implement the coefficients, which in our case we are using a Boxcar filter, meaning all coefficients are 1. • 3) A Full adder to sum the nodes at the end of each Tap.

  6. Longest Path Calculations

  7. Schematic

  8. Layout

  9. Successful DRC check

  10. Successful Extraction Report

  11. Successful LVS Report

  12. Successful LVS Report cont.

  13. Simulations

  14. Simulations

  15. Simulation

  16. Simulation

  17. Post Extraction

  18. Post Extraction cont.

  19. Propagation Delay Waveform

  20. Propagation Delay

  21. Cost Analysis • Estimated time spent on each phase of the project: • Verifying Logic = 2 weeks • Verifying Timing = N/A • Layout = 15 hours • Post Extracted Timing = 5 hours

  22. Lessons Learned • A project of this nature requires ample time to complete it, before its deadline. • Verify logic of individual components. • Extra care needed when designing the layout.

  23. Summary • Because FIR Filters are such an important element of DSP design, it was beneficial to do a project like this to strengthen understanding of the concept • A low cost, easy to implement Boxcar FIR filter was designed and tested • Due to the nature of DSP, FIR filters of some form will always be needed.

  24. Acknowledgements • Dr. Parent, for teaching us not to overcomplicate our designs.

More Related