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This paper presents theoretical and practical aspects in conjunction with hardware implementation of wavelet based denoising filters. The wavelets can tackle the denoising problem optimally from the point of view that the wavelet based denoising attempts to remove whatever noise is present and retain whatever signal is present regardless to the frequency content of the signal. In the field of designing signal processing systems, "time to market" represents a key factor. Hardware implementation using field programmable gate arrays (FPGA) can reduce time to market for signal processing systems. The paper analyzes and compares different solution for hardware implementation of wavelet based denoising filters using FPGAs.