FIR Filter Design using FSM

A filter is essentially a system or a network that selectively changes the wave shape, amplitude–frequency and/or phase-frequency characteristics of a signal in desired manner. Common filtering objectives are to improve the quality of a signal, to extract information from signal or to separate two or more signals previously combined. FSM for FIR filter design is perhaps the simplest and most direct technique when a desired frequency response has been specified. The given frequency response is sampled at a set of equally spaced frequencies to obtain N samples. Thus , sampling the continuous frequency response Hd(w) at N points essentially gives us the N-point DFT of Hd(2pnk/N). Thus by using the IDFT formula, the filter co-efficients can be calculated. One way to reduce the error is to increase the number of frequency samples. Thus we FIR filter design using Frequency Sampling Method and noted the output.

Comments

  1. Unknown23 April 2017 at 10:42

    This is the simplest method of FIR filter design.Well written!!!

    ReplyDelete
  2. Unknown25 April 2017 at 22:50

    Well written.

    ReplyDelete
  3. Unknown25 April 2017 at 23:07

    This method requires less computation than windowing method.

    ReplyDelete
  4. chaitali vartak26 April 2017 at 08:48

    informative!

    ReplyDelete
  5. Unknown28 April 2017 at 09:20

    Easier to implement than windowing.

    ReplyDelete
  6. Parth1 May 2017 at 06:59

    Zero crossing was observed in phase plot wherever magnitude was zero in the magnitude response.

    ReplyDelete

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