Howtosignalprocessing
Filters function by blocking (suppressing) given frequency components in a signal and passing the original signal minus these suppressed components to the output. In contrast to analog filters, digital filters work by performing mathematical operation on the signal.
- Why do we use digital filters?
- What are 3 advantages of digital filters?
- How does digital filters remove noise?
- Why digital filters are important in communication systems?
Why do we use digital filters?
Digital filters are used for two general purposes: (1) separation of signals that have been combined, and (2) restoration of signals that have been distorted in some way. Analog (electronic) filters can be used for these same tasks; however, digital filters can achieve far superior results.
What are 3 advantages of digital filters?
Digital filters require only the arithmetic operations of addition, subtraction, and multiplication. Digital filters do not drift with temperature or humidity or require precision components. Digital filters have a superior performance-to-cost ratio. Digital filters do not suffer from manufacturing variations or aging.
How does digital filters remove noise?
Digital filters operate on the signal as a linear system to remove noise. They can be implemented either in hardware or software. Hardware implementation can be performed efficiently in real- time by a DSF' processor such as the TMS320C25 [l].
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.
