There are two types of digital filters including Infinite Impulse Response (IIR) and Finite Impulse Response (FIR). IIR filters attract more attention as they can decrease the filter order significantly compared to FIR filters. Owing to multi-modal error surface, simple powerful optimization techniques should be utilized in designing IIR digital filters to avoid local minimum. Imperialist compe...

the impulse response can be either finite or infinite. The methods for designing and implementing these two filter classes differ considerably. Finite impulse response (FIR) filters are digital filters whose response to unit impulse (unit sample function) is finite in duration. This paper presents the design of low power FIR filter and area efficient parallel linear phase FIR digital filter. Lo...

Filters are used to implement signal transforms, and filter design is a very important part of the signal processing field. There are currently 2 types of filters available: the finite impulse response (FIR) filter, and the infinite impulse response (IIR) filter. While FIR filters have desirable traits such as stability (an absence of poles), IIR filters are able to generate outputs more effici...

The finite impulse response filters are inherently stable and have linear phase response property. The main drawback of these filters is lies in requirement of higher orders for similar magnitude response compared to Infinite Impulse response filters. Also the amount of computational complexity needed for the implementation of the filter, especially for the filters with narrow transition band i...

Optimization of filter banks based on the knowledge of input statistics has been of interest for a long time. Finite impulse response (FIR) Compaction filters are used in the design of optimal signal adapted orthonormal FIR filter banks. In this paper we discuss three different approaches for the design of interpolated finite impulse response (IFIR) compaction filters. In the first method, the ...

In this paper, we review some basic definitions and properties of FIR filters. We also discusses different types of realizations of digital FIR filters and their uses in some typical applications. We then present some basic building blocks for SC filters. Of particular interest are static and dynamic memory SC circuits, based on SC integrators. These building blocks are the basis for many types...

This paper addresses the design and implementation of digital unbiased finite impulse response (FIR) filters with polynomial impulse response functions. The transfer function, its fundamental properties, and a general block-diagram are discussed for the impulse response represented with the l-degree Taylor series expansion. As a particular results, we show a fundamental identity uniquely featur...

Digital filters are commonly used as an essential element of everyday electronics such as radios, cell phones, and stereo receivers. Digital filters may be more expensive than an equivalent analog filter due to their increased complexity, but they may lead to many designs which are impractical or impossible as analog filters. Basically there are two types of digital filters, which are FIR (Fini...

This paper proposes a new method for rejecting the Continuous Wave Interferences (CWI) in the Global Positioning System (GPS) receivers. The proposed filter is made by cascading an adaptive Finite Impulse Response (FIR) filter and a Wavelet Packet Transform (WPT) based filter. Although adaptive FIR filters are easy to implement and have a linear phase, they create self-noise in the rejection of...