- Analogue signals - Signal types; transducers; data collection; ADC systems; conversion errors, aliasing, record length requirements; available systems.
- Pre-processing techniques - validation; editing; calibration techniques; wild point and linear trend removal; synchronous time averaging; integration and differentiation.
- Spectral analysis - Fourier analysis; the FFT; spectral leakage and windowing; choice of window function; averaging; frequency resolution; bias errors.
- Frequency response function - system characterisation, presentation and interpretation of results; inertance and mobility; Nyquist and Bode plots; H0, H1, H2; convolution.
- Coherence function- properties and interpretation, use as FRF validation check; application for signal enhancement and source identification; coherent output power spectrum.
- Correlation analysis - auto- and cross-correlation; measurement of time delays, transmission paths and propagation materials; digital computation errors.
- Practical problems associated with digital signal analysis-
Note: Dependant on customer requirements, this module can be presented at an introductory level in one to three full days.
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