Parameters Nwt and Nst decide the resolving power of the spectrogram along time and frequency axes. Spectrograms obtained with Nwt values greater than 20ms are called narrowband spectrograms. Generally, these have a good frequency resolution. Frequency tracks appear as horizontal lines varying in intensity.
When you lower the frame-duration parameter, you need to lower the frame-shift parameter also to avoid missing frames. A reduced value of frame duration results in a lower frequency resolution but a good time resolution. The spectrogram obtained with good time resolution and poor frequency resolution is called a wideband spectrogram. Narrowband spectrograms are useful for accurate frequency analysis of speech signals.
Wideband spectrograms are useful for accurate localisation of transient region onsets in the speech signal.
Narrowband and wideband spectrograms for vowel-consonant sound ‘as’ are shown in Figs 6 and 7, respectively. Spectrograms (narrowband and wideband) for the sentence “You will mark as please” are shown in Figs 8 and 9, respectively. Readers are advised to experiment with different speech utterances and different values for Nwt, Nst, and nfft and to observe variations in spectrograms.
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Please, how do i calculate MSE and SNR of ECG signal before and after noise?
I need the result for about 300 sample frequencies.
Thank you
Please share MATLAB code to make binaural beats