Linear Phase FIR using Frequency Sampling Method

The code was written on Scilab software. The inputs taken from the user were As, Ap, cut-off frequency, wp and ws. Both LPF and HPF were designed using this method. The As and Ap calculated and observed values were verified. This method is simple for designing a filter. However, this method leads to aliasing if desired response is undersampled.

Comments

  1. Unknown25 April 2017 at 22:05

    The sample values are symmetric about k = N/2.

    ReplyDelete
  2. $oM€$h25 April 2017 at 22:27

    Short and Crisp

    ReplyDelete
  3. Ankur Mahadik25 April 2017 at 22:29

    is it easy to implement?

    ReplyDelete
    Replies
    1. Neha28 April 2017 at 05:16

      Yes, it requires less input parameters so it is easy to implement

      Delete
  4. Unknown25 April 2017 at 22:40

    This comment has been removed by the author.

    ReplyDelete
    Replies
    1. Unknown25 April 2017 at 22:44

      Frequency sampling involves less computation as DFT is used.

      Delete
    2. Neha28 April 2017 at 05:17

      Drawback is that at frequencies other than w=1, the sampled value vary significantly from the spectrum values

      Delete
  5. Unknown25 April 2017 at 22:44

    Easy to implement

    ReplyDelete
  6. Unknown25 April 2017 at 22:51

    good

    ReplyDelete
  7. Siddhesh25 April 2017 at 23:08

    Easy method for filter Designing

    ReplyDelete
  8. Neha28 April 2017 at 05:20

    Thank you for adding your comments to this blog! :)

    ReplyDelete

Post a Comment

Popular posts from this blog

Research Paper Review

Subject: Noise reduction Topic: Assessing the Effect of Noise-reduction to the Intelligibility of  Low-pass Filtered Speech The residual hearing in hearing-impaired (HI) listeners is due to high frequency elimination in the words or sentences reaching the ear of these listeners. The residual hearing is only due to the low frequency components in the speech. This selective or residual hearing affects the speech intelligibility of the HI listeners. The hearing of these people degrades further in a noisy environment, because the low frequency signals are also affected due to the noise components in the surroundings. One of the solutions found out for enhancing residual hearing is through noise reduction in the signals reaching the ear of the HI people. This helps the low frequency components in high frequency speech can be detected to give highly maximum hearing capability to them. The technique used was that low pass filtered noise- corrupted signals were used at cut-off freq...
Read more

Chebyshev Filter Design

Chebyshev filter design was done on Scilab software. Chebyshev HPF and LPF required values of stopband and passband attenuation and frequencies along with the sampling frequency. The attenuation and frquency values were taken same as those of Butterworth filter design. The chebyshev filters have ripple in the passband. Also, the order was found to be lesser than that in the Butterworth filter design. This is a major advantage of chebyshev filter design.
Read more

Butterworth Filter Design

Butterworth filter design was done on Scilab software. We were asked different values of stopband, passband and sampling frequencies for both HPF and LPF. The attenuations in passband and stopband were to be kept in the range; Ap < 3dB and As > 40dB. These values decided the order of the filter and also plotted its magnitude spectrum. The butterworth filter has no ripple in pass band and stop band. Also the order of the filter obtained was high.
Read more