716519170926ab10915b8412a98413c4112e7ce2,librosa/core.py,,ifgram,#,275

Before Change

        
        //-- Calculate the instantaneous frequency 
        // phase of differential spectrum
        d_frame = fft.fft(fft.fftshift(d_window * y[sample:(sample + n_fft)])).conj()

        t       = d_frame - 1.j * freq_angular * frame 

        // Compute power per bin

After Change

        t = freq_angular + (d_frame * frame).imag / power

        if_gram[:, i] = t[:if_gram.shape[0]] * sr / (2 * np.pi)

    // Compensate for windowing effects, store STFT
    // sum(window) takes out integration due to window, 2 compensates for negative

Instances