This paper examines two classes of algorithms that estimate a continuous time ARX type of models from discrete data: one is based on infinite impulse response (IIR) filters while the other is based on finite impulse response (FIR) filters. The IIR filters use continuous time state variable filters, and discretisation is performed on the filtered derivatives. In contrast, the FIR filters are in ...

FIR (finite impulse response) digital filters are open loop signal processors. These are numerical filters, and roundoff takes place within these filters when certain numerical operations are performed upon the filter input signals. Roundoff also takes place in IIR (infinite impulse response) digital filters. These are feedback filters, and the effects of quantization in IIR filters are more co...

Digital filtering is an integral part of many digital signal processing algorithms. Digital filters are characterized as either recursive [infinite impulse response (IIR)] or non-recursive [finite impulse response (FIR)] filters. IIR filters require a smaller order for the same set of specifications compared to FIR filters, while FIR filters provide a linear phase property. However, IIR filters...

The common conviction about FIR (finite impulse response) digital filters is that the number of necessary taps, to reach the same performance as provided by IIR (infinite impulse response) digital filters, is usually too large. Moreover, the standard FIR filter design algorithm (Remez exchange) allows the design of linear-phase filters only. Therefore, IIR filters are often preferred over FIR o...

--Digital filters can be realized in hardware, software. In general digital filters tend to be more expensive than analog filters.But digital filters can be used to implement complex applications that analog filters cannot. This paper presents the design of a double-precision lowpass direct form Finite Impulse Response (FIR) filter to meet the given specification. Simulation results have been p...

Half-band (HB) filters are of great importance and are often used in multirate digital signal processing systems, filter banks and wavelets. In this paper, a new closed-form expression for the transfer function of the maximally flat (MF) infinite-impulse response (IIR) HB filters is presented. The filter coefficients are directly obtained by solving a linear system of Vandermonde equations that...

Finite impulse response (FIR) filters are highly desirable in digital filter design because of their inherent stability and linear phase. However, when narrow transition band characteristics are required, they typically have a much higher filter order than their infinite impulse response counterparts with equivalent magnitude spectrums. Widowing methods and the frequency response sampling metho...

The eigenfilter method for digital filter design involves the computation of filter coefficients as the eigenvector of an appropriate Hermitian matrix. Because of its low complexity as compared to other methods as well as its ability to incorporate various time and frequency-domain constraints easily, the eigenfilter method has been found to be very useful. In this paper, we present a review of...

Abstract—In signal processing, there are mainly two types of filters exist and the are Finite Impulse Response(FIR) filter and Infinite Impulse Response(IIR) filter. Finite Impulse Response(FIR) filter can be designed form Infinite Impulse Response(IIR) filter by various techniques. The widely used technique is the window technique. In this paper, the designing analysis of FIR filter are shown ...

This paper discusses a method for designing the Finite Impulse Response (FIR) filters based on polynomial approach.