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Finite impulse response utilizing the principle of superposition
1Dept. of Electr. and Comput. Eng., Central Florida Univ., Orlando, FL.
Summary
A new finite impulse response (FIR) filter design algorithm offers a simpler, more efficient method for optimizing filter length and specifications. This approach reduces computational complexity compared to existing FIR design techniques.
Area of Science:
- Digital Signal Processing
- Filter Design
Background:
- Optimizing finite impulse response (FIR) filter length is crucial for reducing filter size and computational load.
- Existing FIR design algorithms include Remez exchange, linear programming, and least mean squares, each with limitations.
Purpose of the Study:
- To introduce a novel, efficient, and accurate algorithm for designing FIR filters with arbitrary specifications.
- To present a technique for tailoring passband and stopband responses for near-optimum time length.
Main Methods:
- Definition of basic functions for the design process.
- Overview of the FIR filter design procedure.
- Presentation of a technique for achieving tailored frequency responses and near-optimum time length.
Main Results:
- The new algorithm demonstrates simplicity, efficiency, and accuracy in FIR filter design.
- It requires fewer computations than many existing FIR approaches.
- The design is applicable to compensating for second-order effects in surface acoustic wave (SAW) devices.
Conclusions:
- The developed FIR design algorithm provides a valuable alternative for creating efficient digital filters.
- It offers advantages in computational efficiency and design flexibility for specific applications like SAW devices.
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