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A frequency domain approach for modal parameter identification that analyzes vibration signals to extract structural natural frequencies, damping ratios, and mode shape coefficients, featuring robust implementation with complete algorithmic procedures
A frequency-domain modal parameter identification technique for vibration signal analysis that extracts natural frequencies, damping ratios, and mode shape coefficients. The method employs robust signal processing algorithms with complete program implementation including FFT-based spectral analysis and curve-fitting routines.
One of the frequency-domain modal parameter identification methods enables vibration signal analysis to extract structural natural frequencies, damping ratios, and mode shapes. This well-established method features complete implementation code with robust algorithmic approaches for accurate parameter estimation.
A frequency-domain modal parameter identification method for vibration signal analysis and processing, capable of extracting structural natural frequencies, damping ratios, and mode shape coefficients. The method is highly effective, with complete program implementation featuring signal preprocessing, frequency response function estimation, and curve fitting algorithms.
Face recognition code implementing the K-L transformation method for human face identification, including feature extraction and pattern matching algorithms
A frequency domain modal parameter identification approach that performs vibration signal analysis to extract natural frequencies, damping ratios, and mode shape coefficients, featuring robust methodology and complete program implementation with spectral analysis and curve fitting algorithms.