Overview
FIR filter design techniques are essential in digital signal processing, allowing engineers to create filters that effectively manage signal characteristics. These filters are defined by their finite impulse response, which ensures stability and predictability in performance. Understanding the under...
Key Terms
Example: An FIR filter can be used to smooth out a noisy signal.
Example: The impulse response of an FIR filter determines its behavior.
Example: The coefficients of an FIR filter are used in the convolution process.
Example: Hamming and Hanning windows are commonly used in FIR filter design.
Example: The frequency response shows how different frequencies are attenuated or amplified.
Example: FIR filters are always stable due to their finite impulse response.