![]() ![]() The leakage measures the ability of the sliding window to detect a weak tone from noise in the presence of a neighboring strong tone. To compute the spectrogram, divide the signal into segments of duration 0.0256 second and specify 86% segment-to-segment overlap. Click on the Open Script button while you have this page open on the MATLAB help browser. Note: To open the example and the associated models, you must have MATLAB® open. Specify the instantaneous frequency of the signal as a triangular function of time. This example shows how to transform time-domain data into the frequency domain using the FFT block. For example, generate two seconds of a signal sampled at 10 kHz. ![]() To display the spectrogram of a signal, you can use the pspectrum function. The spectrogram of a sequence is the magnitude of the time-dependent Fourier transform versus time. This form of the Fourier transform, also known as the short-time Fourier transform (STFT), has numerous applications in speech, sonar, and radar processing. The time-dependent Fourier transform is the discrete-time Fourier transform for a sequence, computed using a sliding window. This parameter applies to MATLAB code in a MATLAB Function block, a Stateflow ® chart, or a System object associated with a MATLAB System block. The Signal Processing Toolbox™ product provides functions that return the time-dependent Fourier transform for a sequence, or displays this information as a spectrogram. Specify a callback class for FFTW library calls in code generated for FFT functions in MATLAB ® code.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |