Spectral/Fourier Analysis TRIZ Cases

Uncalibrated magnitude data from antenna arrays estimates grain moisture and volume without phase comparisons.

Hardware circuits replace complex software processes to detect modulation errors in real time without increasing device complexity.

A waveform processing assistance device extracts correct answer peaks and adjusts parameters to match reference data.

A multi-level triggering circuit segregates high-speed bipolar logic from complex CMOS paths to manage power consumption.

Resonant half mirrors isolate specific harmonic orders to prevent overlapping noise and spurious components in high-frequency spectrum analysis.

A signal post-processing circuit applies a window filter and transforms data to enable flexible sub-band selection via virtual parameters.

A reflected-wave processing apparatus uses composite chirp signals to analyze cable reflections.

Automated signal recording and comparison identifies intermittent noise artifacts, reducing debugging time for signal processing circuitry.

A system analyzes electrical signatures of rotating machines using operational data buckets to detect mechanical failures early.

Cross-power spectrum analysis accumulates vector sums from multiple acquisitions to lower random noise levels in spectral measurements.

A method overlays measurement icons with thumbnails and directional arrows onto imported area maps for spatial visualization.

Frequency domain bitmaps accumulate occupancy data across multiple spectrums to trigger selective signal captures, reducing computing resource consumption.

Wavelet transforms and complexity values detect effective R-peaks in noisy wearable ECG signals.

A noise analyzer computes a cross-correlation metric from dual signal paths to determine the optimal number of averages.

A sliding-window phase fitting method processes frequency-domain measurement sequences to generate precise calibration data.

Identify frequently occurring noise data by accumulating n FFT spectrums, excluding infrequent impulse noise from Max Hold calculations.

A microcontroller samples disabled AC signals to calculate precise DC levels without external probes.

Walsh-based discrete Fourier transform extracts significant vibration components to reduce controller calculation load while improving measurement precision.

A metering array and signal processor transform physical quantities into sample mode spectra to detect structural failure onset.

A test instrument generates a QR code containing encoded address information for stored data files.

A multi-channel test and measurement instrument uses tunable downconverters to shift input signals for simultaneous acquisition.

Sub-channel FFT processing averages spectral bin magnitudes to identify signal shapes, rejecting interference that causes false positives in noisy environments.

Frequency content based trigger unit isolates specific events in complex streams by gating display engines when predetermined conditions are met.

A server analyzes device troubles using a know-how database and transmits restoration instructions to terminal devices for automated measurement.

A digital sweep spectrum analyzer quantizes analog signals into three levels and uses multiplexers to perform complex multiplication for frequency conversion.

A single outlet device detects early-stage electrical discharges by analyzing transient signal waveforms on the power line.

Electrostatic concentrators gather airborne particles onto surfaces while ion mobility separators sort species by charge-to-mass ratio.

A dynamic switchable active front end integrates hardware to manage power conversion and filtering modes.

FFT spectral analysis identifies MIMO signals prior to decoding, reducing scanning time and computational waste on non-MIMO bands.

A multi-frequency testing method isolates phase variations in audio equipment using a modifier circuit and bandpass filter.

Model fitting extracts IQ-imbalance parameters from multi-tone spectra, eliminating demodulation errors caused by noise and nonlinearities.

A harmonic detectivity metric quantifies optical signals to enable objective recipe selection in overlay metrology systems.

Applying pseudo-random codes spreads interfering signal energy across bandwidth, enabling accurate PID measurement without shielded rooms.

A voltage sensor system uses two spaced electrodes and a differential amplifier to measure conductor potential without physical contact.

Robust statistical algorithms eliminate external calibrant interference and reduce measurement uncertainty for accurate macromolecule identification.

Electromagnetically induced grating in a vapor cell detects electric fields by reflecting modulated light to measure wave intensity and phase.

A spectrum processing apparatus splits optical spectra into key bands to extract biosignals from scattered light.

Fast Fourier transform analysis of time domain waveforms emulates EMI receiver output, reducing device cost and scan time.

Dual synchronized spectrum analyzers measure reference and detection signal phases to resolve incomplete failure identification in optical probing.

Arc detection apparatus calculates current statistical dispersion values to distinguish arcs from power converting device noises.

Electronic device estimates multiple sinusoid frequencies using zero-padding and iterative filtering to refine signal parameters.

Microwave sensing monitors soot accumulation in diesel particulate filters to prevent excessive thermal stress during regeneration.

Filter banks and phase detectors measure time-varying intermodulation distortion to resolve static bias limitations.

A reconfigurable optic probe produces a ring-shaped beam to isolate target net waveforms from integrated circuit signals.

A magneto-optical spectrum analyzer uses a nanostructured thin film to detect radiofrequency signals via polarization changes.

A circuit breaker compares harmonic component ratios to thresholds for accurate abnormal current detection.

FFT-based phase adjustment corrects stray capacitance delays in non-contact sensing, eliminating manual calibration requirements.

A multi-energy-spectrum X-ray imaging system acquires transparency vectors across multiple energy regions to identify inspected items.