![]() ![]() This paper presents a novel design methodology for an optimized FIR digital filters from software level to the hardware level. There exist computationally efficient realizations for implementing FIR filters.įIR filters realized non-recursively are inherently stable and free of limit cycle oscillations when implemented on a finite-word length digital system.Įxcellent design methods are available for various kinds of FIR filters with arbitrary specifications.ĭesign and noise issues are less complex than IIR filter (Rabiner, Kaiser, Herrmann, & Dolan, Citation1974).įIR filters are extensively used in wired, wireless communications, video, audio processing and handheld devices are preferred because of their stability and linear phase properties. The main advantages of the FIR filter design over their IIR equivalents are the following: (1)įIR filters with exactly linear phase can easily be designed. In realization, a given transfer function is used to convert into a suitable filter structure (Xu, Yin, Qin, & Zou, Citation2013). Where X( z) is the filter’s input and Y( z) is the filter’s output. The transfer function H( z) is given as: H z = Y z X z = ∑ i = 0 N a i z - i The difference equation of nth order digital filter (FIR) can be represented as: y ( n ) = ∑ ( k = 0 ) ( N - 1 ) h ( n ) x ( n - k ) = ∑ ( k = 0 ) ( N - 1 ) b k x ( n - k ) Computer aided design (CAD) tools are used to implement the design by adopting the behavioural level design method. The synthesis results show that the discussed technique can substantial help in lessening the equipment assets. ![]() Experimental study of coefficient quantization uncovers a connection between the quantity of bits, number of coefficients and the frequency response that consequence in reduced area and better speed. For efficient hardware realization, the paper investigates the impacts of quantization on frequency response by progressively diminishing the quantity of bits in every coefficient using an iterative algorithm to a level where its frequency response matches to the novel requirements. It results in low cost, reduced area and more robust to withstand the quantization errors. Comparison presented that Kaiser window gives the minimum main-lobe width and a sharp cut-off which means this window has less transition width and the study showed that the Direct-Form structure approach is simpler and offers a better performance than other common filter structures. Theoretical and experimental results performed FIR band pass filter suggests that the window design method is relatively simple and easy to use because of the availability of well-defined equation. It includes the selection of design method, structure and cost effective hardware utilization. The principle objective of this exploration is to present a methodology for an upgraded framework of a FIR digital filter from software level to the hardware level. One application of DSP is a Finite impulse response (FIR) filter. Digital signal processing (DSP) circuits are extremely important in computing and communications areas.
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