Block-recursive filters and filter-banks

Block-oriented signal processing techniques have an exceptional role due to the availability of fast algorithms. However, if larger data segments are to be evaluated in real-time, the delay caused by the block-oriented approach is not always tolerable especially if the response time of the evaluating system is also specified. This can be exceptionally critical if the signal processing is related to feedback loops. In this paper block-oriented signal processing methods are combined with recursive ones. This combination reduces the delay problem caused by the block-oriented fast algorithms and at the same time keeps the computational complexity on relatively low level. Possibly the most original component of the suggested solution is the extension of given size signal transformer-bank channels (e.g. DFT channels) toward larger blocks simply via recursive averaging