Basic tools for digital filter design?

1. How digital filters are designed?
2. What are the methods of filter design?
3. What is the basic principle of a digital filter?
4. What is FDA tool?

How digital filters are designed?

Design of digital filters, involve the use of both frequency domain and time domain techniques. This is because, the filter specifications are often specified in frequency domain and the implementation is done in time-domain in the form of difference equations.

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 is the basic principle of a digital filter?

A digital filter is represented by a sequence of numbers called weighting coefficients. The output of a digital filter is obtained by convolving the digitized input trace with the filter's weighting coefficients.

What is FDA tool?

FDATool enables you to quickly design digital FIR or IIR filters by setting filter performance specifications, by importing filters from your MATLAB® workspace or by adding, moving or deleting poles and zeros.