Howtosignalprocessing
The end effect refers to where many filters and similar processes produce spurious results at the ends of the dataset. There are several reasons why this can occur. The most common one is when using moving window based filters the filter is not well defined at the boundary.
- What is filtering in signal processing?
- What is the function of the filters?
- Why filtering is performed in DSP?
- Why digital filters are important in communication systems?
What is filtering in signal processing?
In signal processing, a filter is a device or process that removes some unwanted components or features from a signal. Filtering is a class of signal processing, the defining feature of filters being the complete or partial suppression of some aspect of the signal.
What is the function of the filters?
A filter is a circuit whose transfer function, that is the ratio of its output to its input, depends upon frequency. There are three broad categories of filter which are widely used: Low-pass filters allow any input at a frequency below a characteristic frequency to pass to its output unattenuated or even amplified.
Why filtering is performed in DSP?
Digital filters are a very important part of DSP. In fact, their extraordinary performance is one of the key reasons that DSP has become so popular. As mentioned in the introduction, filters have two uses: signal separation and signal restoration.
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.
