This is where navigation should be.

BLOCKANA - Blockwise analysis interface

Usage

c=blockana(F, f)

Input parameters

Fa Analysis frame object.
f Block of signal.
fola Explicitly defined overlap

Output parameters

c Block coefficients.
fola Stored overlap

Description

c=blockana(Fa,f) calculates the coefficients c of the signal block f using the frame defined by F. The block overlaps are handled according to the F.blokalg. Assuming blockana is called in the loop only once, fola can be omitted and the overlaps are handled in the background automatically.

References:

N. Holighaus, M. Dörfler, G. A. Velasco, and T. Grill. A framework for invertible, real-time constant-Q transforms. IEEE Transactions on Audio, Speech and Language Processing, 21(4):775 --785, 2013.

Z. Průša. Segmentwise Discrete Wavelet Transform. PhD thesis, Brno University of Technology, Brno, 2012.