Plotted as a function of time and periods. If you specify a sampling period, the scalogram is If you specify a sampling frequency, theįrequencies are in Hz. If you do not specify a sampling frequency or sampling period, the frequenciesĪre plotted in cycles per sample. (counterclockwise) and negative (clockwise) components are plotted in separate If the input signal is complex-valued, the positive Gray regions outside the dashed white line delineate regions where edge effectsĪre significant. TheĬone of influence showing where edge effects become significant is also plotted. Frequency is plotted on a logarithmic scale. The scalogram is the absolute value of the CWT plotted as aįunction of time and frequency. See L1 Norm for CWT and Continuous Wavelet Transform of Two Complex Exponentials.Ĭwt( _) with no output arguments plots theĬWT scalogram. Normalization shows a more accurate representation of the signal. Normalization, if you have equal amplitude oscillatory components in your dataĪt different scales, they will have equal magnitude in the CWT. If x is complex-valued, wt is a 3-D matrix, where the first page is the CWT for the positive scales (analytic part or counterclockwise component) and the second page is the CWT for the negative scales (anti-analytic part or clockwise component). The column size of wt is equal to the length of x.
If x is real-valued, wt is a 2-D matrix where each row corresponds to one scale. The minimum and maximum scales are determined automatically based on the energy spread of the wavelet in frequency and time. The CWT is obtained using the analytic Morse wavelet with the symmetry parameter (gamma) equal to 3 and the time-bandwidth product equal to 60. The input, x, is a real- or complex-valued vector, or a single-variable regularly sampled timetable, and must have at least four samples. Wt = cwt( x) returns the continuous wavelet transform (CWT) of x.
'NumOctaves' name-value pair will be removed.Using CWT Filter Bank on Multiple Time Series.Sinusoid and Wavelet Coefficient Amplitudes.Continuous Wavelet Transform of Two Complex Exponentials.Continuous Wavelet Transform of Earthquake Data.Continuous Wavelet Transform Using Specified Wavelet.Continuous Wavelet Transform Using Default Values.
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