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Digital Filters
| Content Provider | Scilit |
|---|---|
| Author | Corinthios, Michael |
| Copyright Year | 2018 |
| Description | In this chapter we study different approaches to the design of digital filters. There are in general three types of structures of digital filters. As we shall see in what follows, finite impulse response (FIR) filters are nonrecursive in structure and are all-zero, no poles, filters. They are also referred to as moving average (MA) type filters. All-pole, no zero, filters are recursive in structure and are also referred to as autoregressive (AR) type filters. Infinite impulse response (IIR) filters are recursive in structure and are pole-zero filters, also referred to as autoregressive moving average (ARMA) type filters. We shall study methods for deducing the required transfer function from the continuous filter counterpart or otherwise. Lattice type filter structures are subsequently introduced. Least squares approaches to the design of digital filters are subsequently presented. Book Name: Signals, Systems, Transforms, and Digital Signal Processing with MATLAB |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2009-0-07491-7&isbn=9781315218533&doi=10.1201/9781315218533-15&format=pdf |
| Ending Page | 863 |
| Page Count | 102 |
| Starting Page | 762 |
| DOI | 10.1201/9781315218533-15 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2018-09-03 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Signals, Systems, Transforms, and Digital Signal Processing with Matlab History and Philosophy of Science Structure Moving Average Impulse Response Recursive Autoregressive |
| Content Type | Text |
| Resource Type | Chapter |
