Digital Filter Design & Implementation
Introduction to digital filters
A filter is essentially a system or network that selectively changes the wave-shape, amplitude/frequency and/or phase/frequency characteristics of a signal in a desired manner. Common filtering objectives are to improve the quality of a signal (for example, to remove or reduce noise), to extract information from signals or to separate two or more signals previously combined to make, for example, efficient use of an available communication channel.
Types of Digital Filter
Digital filters are broadly divided into two classes, namely infinite impulse response (IIR) and finite impulse response filters (FIR). The choice between FIR and IIR filters depends largely on the relative advantages of the two filter types and the application to which the filter is to be applied.
Filter Design & Implementation
A simple step-by-step guide for designing digital filters, from specification to implementation can be found in many DSP texts. There are many options open to the designer at each step of the design process and factors that influence their choice. Most DSP texts devote substantial space to the theory of digital filters, especially approximation methods, reflecting the considerable research effort that has gone into finding useful methods of calculating filter coefficients and the significant advances that have been made in filter design.
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