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FIR Filter Optimization Project: Key Results and Performance Metrics

This project focuses on the optimization of FIR filters, specifically targeting three distinct goals. The key results highlight the worst-case delay, average energy consumption per cycle, and the physical area required for implementation. The insights gained from this optimization process can lead to significant improvements in filter performance, making it suitable for various digital signal processing applications. This work demonstrates the balance between resource utilization and performance enhancement in FIR filter designs.

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FIR Filter Optimization Project: Key Results and Performance Metrics

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  1. EE141 Project: FIR Filter Name 1, Name 2 • Optimization Goal: (1,2 or 3) • Key Results: • Worst case delay: • Average energy/cycle: • Area:

  2. Slide 1

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