Implementation of digital filters in FPGA structures

Filtering is the most common task in digital signal processing, when some particular parameters of the input signal are removed or modified and a new signal is obtained at the output. The most common filtering goal is to remove noise from a signal. Digital filtering deals with discrete sequences, their implementation require both soft and hard solutions. This work focuses on some useful methods to implement digital filters in reconfigurable hardware structures, as FPGAs. This paper presents FIR filters of different order and structures, and using the MathWorks tools, shows how these structures can be mapped to the Xilinx FPGA architecture. The implemented digital filters are evaluated through signal to noise ratio and root mean square error between the filtered and the noisy signal.