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Digital filters are essential components in signal processing for communication systems, focusing on modifying and enhancing digital signals. The chapter discusses the two main types of filters—FIR and IIR—alongside their design techniques, features, and applications. FIR filters ensure stability and linear phase designs, making them straightforward to implement, while IIR filters provide efficiency and approximations of analog filters. Proper attention to design parameters and implementation strategies is crucial for effective real-time processing.
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Term: FIR Filters
Definition: Filters whose output relies solely on current and past input samples, ensuring stability and linear phase.
Term: IIR Filters
Definition: Filters whose output depends on current and past inputs as well as past outputs, allowing for approximation of analog filters.
Term: Window Method
Definition: A design technique for FIR filters that truncates the ideal impulse response using a window function.
Term: Bilinear Transformation
Definition: A common method of deriving IIR filters from analog prototypes, ensuring stability and desired frequency response.