Nonparametric Methods

Learn about the periodogram, modified periodogram, Welch, and multitaper methods of nonparametric spectral estimation.

Detect a Distorted Signal in Noise

Use frequency analysis to characterize a signal embedded in noise.

Detect Periodicity in a Signal with Missing Samples

Use the Lomb-Scargle periodogram to study the periodicity of an irregularly sampled signal.

Measure the Power of a Signal

Estimate the width of the frequency band that contains most of the power of a signal. For distorted signals, determine the power stored in the fundamental and the harmonics.

Amplitude Estimation and Zero Padding

Obtain an accurate estimate of the amplitude of a sinusoidal signal using zero padding.

Bias and Variability in the Periodogram

Reduce bias and variability in the periodogram using windows and averaging.

Compare the Frequency Content of Two Signals

在频率识别信号之间的相似性cy domain.

Significance Testing for Periodic Component

Assess the significance of a sinusoidal component in white noise using Fisher'sg-statistic.

Find Periodicity in a Categorical Time Series

Perform spectral analysis of data whose values are not inherently numerical.

Cross Spectrum and Magnitude-Squared Coherence

Obtain the phase lag between sinusoidal components and identify frequency-domain correlation in a time series.

Nonparametric Spectrum Object to Function Replacement

Replace calls to nonparametricpsdandmsspectrumobjects with function calls.