Understanding the Difference Between FIR Filters and IIR Filters in Digital Signal Processing

In digital signal processing, the key difference between Finite Impulse Response (FIR) filters and Infinite Impulse Response (IIR) filters lies in their unique characteristics and functionalities.

Focus Keyword: FIR filters vs IIR filters

FIR Filters:

FIR filters are characterized by their finite duration of impulse response. They are inherently stable and have linear phase characteristics, making them suitable for applications requiring precise control over phase response.

IIR Filters:

On the other hand, IIR filters possess an infinite impulse response, leveraging feedback in their implementation. While IIR filters are capable of achieving a desired frequency response with fewer coefficients compared to FIR filters, they may exhibit stability issues due to the recursive nature of their design.

In summary, the choice between FIR and IIR filters in digital signal processing depends on the specific requirements of the application, such as phase linearity, stability, computational complexity, and frequency response precision.

By understanding the distinctions between FIR and IIR filters, digital signal processing engineers can effectively select the suitable filter type to meet the desired signal processing objectives.