f=idwilt(c,g); f=idwilt(c,g,Ls);
| c | \(2M \times N\) array of coefficients. |
| g | Window function. |
| Ls | Final length of function (optional) |
| f | Input data |
idwilt(c,g) computes an inverse discrete Wilson transform with window g. The number of channels is deduced from the size of the coefficient array c.
The window g may be a vector of numerical values, a text string or a cell array. See the help of wilwin for more details.
idwilt(f,g,Ls) does the same, but cuts of zero-extend the final result to length Ls.
[f,g]=idwilt(...) additionally outputs the window used in the transform. This is usefull if the window was generated from a description in a string or cell array.
H. Bölcskei, H. G. Feichtinger, K. Gröchenig, and F. Hlawatsch. Discrete-time Wilson expansions. In Proc. IEEE-SP 1996 Int. Sympos. Time-Frequency Time-Scale Analysis, june 1996. [ http ]
Y.-P. Lin and P. Vaidyanathan. Linear phase cosine modulated maximally decimated filter banks with perfectreconstruction. IEEE Trans. Signal Process., 43(11):2525--2539, 1995.