Finite Impulse Response Filter Growth and Applications
R. Prameela Jyothi, K. Sangeet Kumar, Mahesh K. Singh
Abstract
Open-access reader
R. Prameela Jyothi, K. Sangeet Kumar, Mahesh K. Singh
Abstract
Open-access reader
A “Finite Impulse Response (FIR)” filter’s impulse response has a finite period. Higher order FIR filter is used in numerous “Digital Signal Processing (DSP)” applications to attain accurate frequency specifications. With increasing filter length, there is a linear increase in the number of additions and multiplications, increasing computing complexity. This paper discusses a variety of FIR filter implementation techniques. The FIR filters are used to reduce the number of arithmetic operations required for inner product calculations is a predetermined number, whilst the “look up table (LUT)” design stores the pre-computed result to keep things simple. Filters are commonly used in a variety of applications; the end goal of using a filter is to create a form of frequency selectivity on the spectrum of the incoming signal. Any DSP subsystem’s FIR filter is regarded as one of the most important components. The major purpose of this project is to briefly examine numerous design strategies in order to aid future development.
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A “Finite Impulse Response (FIR)” filter’s impulse response has a finite period. Higher order FIR filter is used in numerous “Digital Signal Processing (DSP)” applications to attain accurate frequency specifications. With increasing filter length, there is a linear increase in the number of additions and multiplications, increasing computing complexity. This paper discusses a variety of FIR filter implementation techniques. The FIR filters are used to reduce the number of arithmetic operations required for inner product calculations is a predetermined number, whilst the “look up table (LUT)” design stores the pre-computed result to keep things simple. Filters are commonly used in a variety of applications; the end goal of using a filter is to create a form of frequency selectivity on the spectrum of the incoming signal. Any DSP subsystem’s FIR filter is regarded as one of the most important components. The major purpose of this project is to briefly examine numerous design strategies in order to aid future development.
Key concepts: Finite impulse response, Digital filter, Filter design, Digital signal processing, Infinite impulse response, Linear filter, Adaptive filter, Computer science