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Advanced Analysis

Take advantage of Resampling, Filtering, Advanced Data Analysis (PSD, Transfer Function, etc.), and Multimedia Sync. A free trial of an Advanced License can be obtained by clicking Request Trial in ObserVIEW.

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Advanced Analysis

Further graphing capabilities include Coherence, Transfer Function, Cross Spectral Density, and Transmissibility

Types of Axis Plots

Analyzing Data Waveforms

Transfer Function

H(f) may be used to find a resonance or an antiresonance in a system. That is, it shows around what frequencies (if any) there is a sudden increase (resonance) or decrease (anti-resonance) in the spectral power through a device or system. A transfer function estimate Ĥ(f) is an estimate of the true transfer function H(f), which in general is not known (but can be estimated). Averaging more analysis frames together converges the estimate to the actual transfer function in an appropriate model (LTI, wide sense stationary).

Coherence

Is an indication of how closely a pair of signals x and y are statistically related. That is, it is an indication of how closely x “coheres” or “sticks to” y—how much influence events at x and events at y have on each other. The magnitude of coherence will always be between 0 (no influence) and 1 (direct influence). Use coherence to measure the validity of the transfer function at each frequency.

Cross Spectral Density

Shows how much power is in a given band in the frequency domain of a pair of signals that have been multiplied in the frequency domain. In particular, the area under the CSD curve from frequency f1 to frequency f2 is the power (RMS) in that band of frequencies.

Transmissibility

Similar to transfer function estimates, Transmissibility may be used to find a resonance or an antiresonance in a system. That is, it shows around what frequencies (if any) there is a sudden increase (resonance) or decrease (antiresonance) in the spectral power through a device or system (Prefer Transfer Function).

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