Spectral/Fourier Analysis TRIZ Cases

A phase estimation unit generates reference oscillatory signals and iteratively varies weights to match input signals for real-time phase estimates.

Frequency domain processing reduces oscilloscope noise while avoiding distortions like Gibb's phenomenon in non-scalar measurements.

Time-variant threshold generator compares AC voltage samples to identify waveform anomalies in distributed generation systems.

A computer cooling device receives periodic control signals and generates a temperature profile to verify operational responsiveness.

Analyzing switching ripples during normal operation extracts impedance data without interrupting load continuity or requiring external measurement equipment.

A spectrum analyzer assembly generates resonant frequency signals to detect viral presence via electromagnetic radiation without physical sampling.

A detection unit generates reference and detection multi-spectrum tables at basic and multiple resolutions to identify illegal radio signals.

Mathematical modeling of internal distortion sources enables users to isolate and compensate for measurement errors without increasing hardware complexity or cost.

A spectrum analyzer uses a polyphase filter bank to segment wide bandwidth signals into manageable sub-bands for processing.

Integer-multiple reference signals eliminate Fourier leakage, enabling accurate extraction of weak intermodulation products.

Wavelet-based cross-correlation calculates Tau Modulation Curves to detect brain activity alterations without narrowband filtering assumptions.

A PIM measurement device integrated into a DAS relay unit generates two-tone pulse signals to detect intermodulation feedback from network components.

Segmenting signals into stationary periods enables simultaneous time and frequency resolution while rejecting high noise levels.

A simplified spectrum analyzer uses superheterodyne conversion to characterize magnetic head and media components.

A multi-antenna signal processor samples RF signals at distinct sub-Nyquist frequencies to resolve detection ambiguities.

A nonlinear transmission line reflectometer generates millimeter wave test signals using a scalable tether for vector network analyzer measurements.

Partial transient analysis identifies ion peaks in FTMS data, reducing storage volume while preserving peak shape information.

In-line RF power meter uses FPGA FFT algorithms to compute forward and reverse voltage waves for impedance analysis.

A terahertz detection assembly uses a waveguide to transport electromagnetic waves alongside an illuminating light pattern for sensitive signal capture.

A system generates synthetic time-series signals with spikes to train inferential models for prognostic surveillance applications.

A receiving antenna captures high-frequency radio emissions from bearing sparks to evaluate pulse amplitude and count changes.

A signal analyzer generates internal trigger signals to synchronize input data acquisition without external hardware references.

Computer analyzes acoustic oscillation signals from inductive devices to identify direct current components without internal sensors.

A phase adjustment circuit advances the AC signal applied to a shield electrode in capacitance detection systems.

A statistical energy matrix method analyzes electromagnetic field transmission between coupled cavities using mean energy and variance calculations.

Offset microwave resonators measure absorbent web moisture and density, compensating for core spacing to ensure accurate quality control.

Frequency mask trigger unit defines spectral ranges while selection unit allocates violating signal components to measurement applications.

An electro-optical crystal converts microwave signals into optical modulation for single-photon detection.

Walsh-based discrete Fourier transform separates engine vibrations from noise components, reducing calculation load and improving fuel efficiency.

Multi-tone signal generator outputs cancel tone to minimize intermodulation power, reducing instrument complexity and cost.

A photonic continuous-wave spectrometer transforms terahertz signals into the time domain for digital filtering before spectral processing.

Phase adjustment aligns frequency components to average periodograms, reducing noise in complex plasma RF signals.

A frequency measuring device extends its operational range by partitioning input signals into sub-bands for composite processing.

A low power measurement system uses dielectric frequency domain multiplexers to detect passive intermodulation signals.

A minimized excitation signal generator produces controlled extreme values to reduce spectral leakage in device under test models.

Frequency domain transformation of smart meter consumption data detects anomalies automatically, eliminating manual inspection delays.

Chirp-Z Transform spectral analysis identifies low frequency harmonics to distinguish arc faults from safe arcs without high sampling rates.

Integrated antennas capture electromagnetic interference signals from operating integrated circuits to enable component condition analysis.

A computing module runs analytical and machine learning algorithms in parallel queues to detect signals in data streams.

A white light scanning interferometer determines transparent film thickness by analyzing the integral amplitude function derived from Fourier phase data.

A battery aging detection method applies a sinusoidal signal to measure harmonic patterns during charge cycles.

Analyzing scattering parameters detects hardware trojans without proprietary tools.

A measurement circuit references voltage drops across a burden resistor to ground for direct controller analysis of polyphase AC currents.

Algorithmic processing circuitry derives power spectral density from oscilloscope spectral data for single-instrument testing.

Filter banks detect time-varying harmonic and intermodulation distortion by sweeping bias points, revealing phase modulation effects missed by static tests.

An adaptive noise floor extension procedure selects noise subtraction values using predicted standard deviation to enhance signal display clarity.

A gas sensing device uses periodic temperature cycling to modulate sensor response and differentiate gases in mixtures.

Tree-based spectrogram analysis classifies GNSS jamming signals to overcome sensitivity and cost limitations of proprietary COTS receiver methods.

Harmonic distortion analysis adjusts DC bias voltage in downhole Mach-Zehnder modulators to counteract temperature-induced drift and preserve signal linearity.