Comparative Analysis of FIR filter
Keywords:
LPF,HPF, BPF, BSP, FIR Filter, Blackman window, Kaiser window, Chebyshev window, Hamming window, Rectangular windowAbstract
Filters are designed to pass a specific range of frequencies and eliminate the remaining to extract
meaningful data from the signal. Filters are extensively used in various field of signal processing such as radar, EMG,
EMG, ECG, noise reduction etc. Depending upon the components (either active or passive) used in a filter, they are
classified as low pass filter(LPF), band pass filter(BPF) ,high pass filter(HPF), and band stop filter(BSF), however the
type of input signal used made a further classification as analog and digital filter, the digital filter is further classified as
IIR (infinite impulse response) and FIR(finite impulse response) filters. This paper describes an approach to compare
basic window functions used to design digital FIR filter for LPF, HPF, BPF and BSF with filter order 50 and sampling
frequency 48 kHz.
