d8ab8131e19498c2b9bed8d218e4e46eedc7cf21,librosa/tf_agc.py,,tf_agc,#,106

Before Change

                n   = f2a.shape[0]
                
                // initialze the state vector
                state   = numpy.zeros( (n, 1) )
                fbg     = numpy.zeros( (n, 1) )

                pass

After Change

            D = scipy.fft(frame)

            // multiply by f2a
            audiogram = numpy.dot(f2a, numpy.abs(D))

            //// DPWE
            //             state = max([alpha*state,audgram(:,i)],[],2);

Instances