Review study on “Design and Analysis of FIR Filters”
Ankita Kurariya, Prof. Prateek Mishra
FIR filter, MATLAB, window function, frequency sampling, optimization, amplitude-frequency characterization
Digital filters may be more expensive than an equivalent analog filter due to their increased complexity, but they make practical many designs that are impractical or impossible as analog filters. Digital filters can often be made very high order and are often finite impulse response filters which allows for linear phase response. When used in the context of real-time analog systems, digital filters sometimes have problematic latency (the difference in time between the input and the response) due to the associated analog-to-digital and digital-to-analog conversions and anti-aliasing filters, or due to other delays in their implementation.
The digital filter is the most basic building block used for most DSP applications; an efficient implementation of the filter is essential to save hardware. A Digital Filter is made up of three basic components: adders, coefficient multipliers and delays. Digital filters are commonplace and an essential element of everyday electronics such as radios, cellphones, and AV receivers.
Present review paper tried to improve performance using computation simulation but here MATLAB simulation has been performed to simplify the complicated computational calculation and improvise previous performance.