  In this article we extend the idea of Turbo codes onto the Real Field. The
channel is taken to result in block erasures and the only noise as being that
due to quantization. The decoding in this case is reduced to reconstruction of
the lost values. The encoding is done using critically sampled filter banks and
introduction of an interleaver is found to reduce the mean square quantization
error drastically. The permutation that gives the best recoverability is
obtained in the 2 Channel case. Results are also obtained for M channel case.
The algorithm for reconstruction of the lost values in the absence of
quantization noise is obtained.
