Spectral/Fourier Analysis TRIZ Cases

A condition monitoring system analyzes electrical waveform data from converters to generate multi-variable analysis data for fault detection.

A control unit performs Fourier transform on pseudo sinusoidal signals to identify and remove specific harmonic components.

Power detector comparison enables phase demodulation for rare event capture, resolving false triggers from constant-power frequency hopping.

Active cancellation suppresses fundamental signals, preventing receiver overload and masking of small distortion products.

Segmenting the spectroscopy setup into two gas cells allows background noise subtraction, improving atomic clock frequency stability.

A heterodyne system identifies signals using positive and negative sign filters.

A spectrum analyzer updates frequency marker positions through a direct input frame on the display screen.

Bounded random sampling achieves target signal-to-noise ratios with fewer samples, reducing computation time compared to ARMA and DFT methods.

Frequency segmentation and calibration extract electrode resistance from combined signals, eliminating expensive synchronous rectifiers.

Merging the waveform generator inside the oscilloscope housing eliminates external splitters, preserving full signal amplitude and freeing measurement inputs.

A communication analysis apparatus merges message decoding with waveform signal processing to associate data segments through division organization information.

Interconnect digital storage oscilloscopes via a master-slave architecture to share clock and trigger signals across multiple channels.