Radar Signal Analysis With Oscilloscope Demodulation
Learn how oscilloscope demodulation and FFTs reveal radar pulse envelopes, Barker-coded phase modulation, chirp behavior, and frequency content.
Practical guidance on getting the most out of digital oscilloscopes, from setup and triggering to advanced analysis features. Designed to help engineers improve measurement accuracy, efficiency, and confidence in real-world scenarios.
Learn how oscilloscope histograms help characterize component specifications by comparing propagation delay, mean, standard deviation, and measurement spread under different conditions.
Learn how oscilloscope histograms visualize measurement variation, identify distribution shapes, and quantify rare events in waveform timing and amplitude data.
This article explains how the oscilloscope Trend function differs from Track, and how it can be used for long-term measurement analysis, data logging, and monitoring evolving signal behavior across multiple acquisitions.
This article explains how the oscilloscope Track function can be used for anomaly detection and waveform demodulation by graphing synchronized measurement values directly against the input waveform.
This article explains how oscilloscope Track functions can demodulate frequency- and phase-modulated RF signals by graphing instantaneous Frequency and TIE measurements over time.
Automatic FFT tools turn oscilloscopes into intuitive spectrum analyzers, simplifying setup while revealing key frequency components in real time.
A hands-on approach to FFTs reveals how manual oscilloscope settings expose hidden frequency-domain details in seemingly simple signals.
A practical FFT workflow reveals hidden frequency-domain insights in power supply noise that time-domain analysis alone cannot show.
Oscilloscope tools like measurement parameter tracking and histograms reveal how PWM pulse width, duty cycle, and modulation behavior change over time.
Following key measurement best practices—anticipating results, understanding instrument limits, defining objectives, and validating consistency—helps ensure accurate oscilloscope measurements.
FFT analysis converts time-domain oscilloscope data into a frequency-domain spectrum, revealing the signal’s underlying sine-wave components and interference sources.
Maximize oscilloscope dynamic range by combining higher vertical resolution, averaging, filtering, and smart display and coupling practices.