Abstract
Abstract
In this paper, the Gaussian function is selected as a mother wavelet function and utilized in the design of some corresponding filter banks. With a 1st derivation of the Gaussian function, a similar shape to QRS complex part of the ECG is achieved.It can be used for QRS feature extraction.Using thesymmetry property of the mother wavelet function, the designed FIR wavelet filter banks can be realized in highly-efficient lattice structures which are easy to implement. The resulting lattice structures reduces the number of filter banks coefficients and this reduces, in turn the number of multiplications and improves the filter banks efficiencies as it reduces the number of computations performed. Hardwarely, this leads to less-complex implementations. The resulting quantized multiplier values also lead to a multiplierless realization for such wavelet filter banks.
Keywords: ECG,Wavelet and scaling functions, Filter banks, Lattice structures, Multiplierless realization.
