Loading...
Please wait, while we are loading the content...
Similar Documents
Fourier Series
| Content Provider | Scilit |
|---|---|
| Author | Palamides, Alex Veloni, Anastasia |
| Copyright Year | 2010 |
| Description | In this chapter, we introduce a way of analyzing=decomposing a continuous-time signal into frequency components given by sinusoidal signals. This process is crucial in the signal processing field since it reveals the frequency content of a signal and simplifies the calculation of a system's output. This analysis is based on the use of Fourier series. Up to this point, all signals were expressed in the time domain. With the use of the Fourier series, a signal is expressed in the frequency domain and sometimes a frequency representation of a signal reveals more information about the signal than its time domain representation. There are three different and equivalent ways that can be used in order to express a signal into a sum of simple oscillating functions, i.e., into a sum of sines, cosines, or complex exponentials. In this chapter, the symbols n and k are often swapped in order for the code written in the examples to be in accordance with the theoretical mathematical equations. Book Name: Signals and Systems Laboratory with MATLAB |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2009-0-16317-0&isbn=9780429065644&doi=10.1201/b17373-9&format=pdf |
| Ending Page | 320 |
| Page Count | 52 |
| Starting Page | 269 |
| DOI | 10.1201/b17373-9 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2010-08-13 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Signals and Systems Laboratory with Matlab Time Domain Functions Frequency Representation Express a Signal |
| Content Type | Text |
| Resource Type | Chapter |
