To learn about Filters: FIR, IIR and to implement those in MATLAB
Analog or digital filters can be used to build IIR filters. The output feedback in digital IIR filters is instantly visible in the equations determining the output. Unlike FIR filters, IIR filters require careful consideration of the “time zone” scenario, because the outputs of the filter have not yet been clearly defined.
The impulse response (or reaction to any finite length input) of a finite impulse response(FIR) filter is of limited duration since it settles to zero in finite time. A finite impulse response (FIR) filter is a digitally implemented filter structure that may implement practically any frequency response. An FIR filter is usually implemented by using a series of delays, multipliers and adders to create the filter’s output. FIR filters are also known as feed-forward or non-recursive, or traversal filters.
 FIR Bandpass Filter |
 FIR Bandstop Filter |
 FIR Highpass Filter |
 FIR Lowpass Filter |
 IIR Butterworth Highpass Filter |
 IIR Butterworth Lowpass Filter |
 IIR Chebyshev Highpass Filter |
 IIR Chebyshev Lowpass Filter |
| NAME | ROLL NUMBER |
|---|---|
| GAYATHRI P | AM.EN.U4AIE20126 |
| JITHIN JOHN | AM.EN.U4AIE20135 |
| LAKSHMI WARRIER | AM.EN.U4AIE20143 |
| M DEVIKA | AM.EN.U4AIE20144 |
| NIVEDITA RAJESH | AM.EN.U4AIE20153 |