The Fourier series is a tool used for transforming a signal from time domain to the frequency domain. In the Fourier series the signal is decomposed into harmonically related sinusoidal functions.
- How Fourier series is used in signal processing?
- What is Fourier series in signal?
- What are the practical uses of Fourier series in signal analysis?
- What does the Fourier series analysis tells us about digital signal?
How Fourier series is used in signal processing?
Fourier transform is used to realize the filtering, modulation and sampling of the signal, which is the most important application of Fourier transform in signal processing.
What is Fourier series in signal?
Fourier series is an expansion of a periodic signal in terms of the summing of an infinite number of sinusoids or complex exponentials, as any periodic signal of practical nature can be approximated by adding up sinusoids with the properly chosen frequencies, amplitudes, and initial phases.
What are the practical uses of Fourier series in signal analysis?
fourier series is broadly used in telecommunications system, for modulation and demodulation of voice signals, also the input,output and calculation of pulse and their sine or cosine graph.
What does the Fourier series analysis tells us about digital signal?
the physics relevance of fourier transform is that it tells the relative amplitude of frequencies present in the signal . it can be defined for both discrete time and continuous time signal. Any signal can be represented as mixture of many harmonic frequencies.