On the performance of a hardware implementation of the wavelet transform

This paper explores a hardware implementation of the wavelet transform using field programmable gate arrays (FPGA). Many signal processing applications use wavelets for more efficient signal decomposition than the traditional FFT technique. The parallel architectures of the FPGA are most suited to the practical filter bank implementations of the wavelets. Comparative hardware analyses show that wavelet transform outperforms the Fourier transform.