Howtosignalprocessing
- How do you implement a digital filter?
- Why digital filters are important in communication systems?
- What are the 4 categories of digital filtering?
- What are the realization methods in describing digital filters?
How do you implement a digital filter?
The most straightforward way to implement a digital filter is by convolving the input signal with the digital filter's impulse response. All possible linear filters can be made in this manner. (This should be obvious. If it isn't, you probably don't have the background to understand this section on filter design.
Why digital filters are important in communication systems?
One of the most important applications for digital signal processing in communications equipment is filtering. Filtering allows the selection of the desired signal and the rejection of unwanted signals and noise.
What are the 4 categories of digital filtering?
There are two categories of digital filter: the recursive filter and the nonrecursive filter. These are often referred to as infinite impulse response (IIR) filters and finite impulse response (FIR) filters, respectively.
What are the realization methods in describing digital filters?
Realization involves converting a given transfer function, H(z), into a suitable filter structure that is generally depicted using block or flow diagrams and shows the computational procedure for implementing the digital filter.
