FIR Filter Design using Wavelet Coefficients

The recent developments in the field of digital signal processing makes use of the wavelet mathematical function. The multi-resolution ability of the wavelets makes it outperform Fourier transformations in terms of data compression and quality. This paper shows that wavelet coefficients can be considered as digital Finite Impulse Response (FIR) filter coefficients in the FIR filter design. Other most popular FIR filter design methods are the windowing method, Frequency sampling method and optimal filter design method. The paper also presents the comparison of the popularly used rectangular window method filter design with that of the wavelets.