Decimation and Interpolation with IFIR Filters
In this article, the principle of the IFIR filter is first explained and accompanied by simulation. It also shows how to use the IFIR filters efficiently in the process of decimation and interpolation. Here, too, simulations with Simulink are used to explain the subject in an understandable manner.
Summary
The article explains the IFIR (Interpolated FIR) filter principle and demonstrates its use for efficient decimation and interpolation through step‑by‑step simulations. It shows how to structure IFIR filters in multirate chains and uses Simulink examples to illustrate design tradeoffs and implementation savings.
Key Takeaways
- Explain the IFIR filter concept and how interpolation of a subfilter reduces overall complexity
- Design IFIR-based filters for decimation and interpolation with guidance on parameter selection
- Apply IFIR structures inside multirate chains to lower arithmetic cost while meeting aliasing/spec requirements
- Simulate IFIR decimators/interpolators in Simulink to validate spectral behavior and transient response
- Evaluate trade-offs between filter order, stopband attenuation, and implementation complexity
Who Should Read This
Intermediate DSP engineers or graduate students working on multirate filter design and efficient decimation/interpolation implementations who use MATLAB/Simulink.
Still RelevantIntermediate
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