Design of IIR Digital Filters
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- 1 Credits
Resource Overview
1. Deepen understanding of analog filter basic types, characteristics, and key design specifications; master analog prototype low-pass filter design methods; learn to design analog prototype low-pass filters using MATLAB functions such as butter, cheby1, and ellip.
2. Enhance knowledge of analog domain frequency transformation methods; master MATLAB implementation of frequency transformations using lp2hp, lp2bp, and lp2bs functions to design high-pass, band-pass, and band-stop filters.
3. Strengthen comprehension of impulse invariance method for IIR digital filter design; master MATLAB implementation of impulse response transformation through impinvar function with sampling parameter configuration.
4. Improve understanding of bilinear transformation method for IIR digital filter design; master MATLAB implementation using bilinear function with prewarping frequency compensation techniques.
Detailed Documentation
This course focuses on fundamental types, characteristics, and design specifications of analog filters, along with practical MATLAB implementation techniques. We will explore analog prototype low-pass filter design methodologies and gain hands-on experience using MATLAB functions like butterord and cheb1ord for filter order determination, followed by filter coefficient generation using respective design functions. The curriculum covers analog domain frequency transformation methods, demonstrating how to utilize MATLAB's frequency transformation functions (lp2hp, lp2bp, lp2bs) with proper cutoff frequency parameters to convert prototype filters into high-pass, band-pass, and band-stop configurations. For digital filter design, we examine both impulse invariance and bilinear transformation methods, implementing them through MATLAB's impinvar and bilinear functions with appropriate sampling frequency and prewarping considerations. Through practical exercises involving filter coefficient calculation, frequency response analysis using freqz, and stability verification, you will develop comprehensive understanding of analog and digital filter design principles, application scenarios, and MATLAB programming techniques, establishing a solid foundation for future research and engineering applications.
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- 1 Credits