Explore MATLAB source code curated for "脉冲响应" with clean implementations, documentation, and examples.
System identification experiment solutions using correlation analysis method for impulse response identification, including problem statements, MATLAB M-file programs with detailed code implementations, and comprehensive experimental reports.
1. Design an FIR digital low-pass filter meeting analog filter specifications using triangular, Hamming, Blackman, and Kaiser windows; compare design performance across different windows. Requires plotting impulse responses, window functions, and magnitude/phase frequency response curves. 2. Apply designed filters to process given signal sets. 3. Design digital high-pass, band-pass, and band-stop filters with corresponding impulse responses and frequency response plots. Implementation involves using MATLAB's filter design functions (fir1, window functions) and frequency analysis tools (freqz, impz).
Implementation of system identification through Hankel matrix construction and singular value decomposition for transfer function estimation from impulse response data.