Constrained filter design

1. What are the two types of filter designs?
2. What is constrained least square filtering?
3. What are the methods of filter design?
4. What are the design parameters of a filter?

What are the two types of filter designs?

There are two fundamental types of digital filters: finite impulse response (FIR) and infinite impulse response (IIR).

What is constrained least square filtering?

The LEAST_SQUARES_FILTER function reduces degradation and noise in an image based on the mean and variance of the degradation and noise. This is also known as a constrained least squares filter. is the frequency domain estimate of the undegraded image. This routine is written in the IDL language.

What are the methods of filter design?

The filter design methods provided in the DFD toolkits include Kaiser window, Dolph-Chebyshev window, and equi-ripple for FIR filters; and Butterworth, Chebyshev, Inverse Chebyshev, and Elliptic for IIR filters. In addition, the DFD toolkit has some Special Filter Design VIs.

What are the design parameters of a filter?

You must select four parameters to design a Chebyshev filter: (1) a high-pass or low-pass response, (2) the cutoff frequency, (3) the percent ripple in the passband, and (4) the number of poles.