digital filter design techniques

Digital filter design techniques involve creating algorithms that modify signals to enhance or suppress specific parts. Techniques like windowing or the Parks-McClellan method help develop filters with desired properties, such as removing noise or sharpening signals. Designs start with mathematical specifications, then algorithms analyze these needs to produce filter coefficients—numbers that shape the signal's spectrum. These methods ensure the filter performs accurately in computer-based systems, making signals clearer or more suitable for analysis, communication, or recording applications.