Frequency Domain Analysis of Signals and Systems
Ifiok Otung
Abstract
Open-access reader
Ifiok Otung
Abstract
Open-access reader
Telecommunication signals and systems can be characterised in both the time and the frequency domains. This chapter begins with a discussion on the Fourier series applicable to continuous-time periodic signals. Using a mix of heuristic, graphical, and mathematical approaches, it explores the topic of Fourier series at a depth and breadth that are considered complete for the needs of modern engineering. The chapter emphasises how to derive the Fourier series either from first principles by evaluating integrals or by applying some of its properties. It then employs the tool of Fourier series to analyse flat-top sampling, sinusoidal pulse trains, and binary amplitude shift keying with very interesting and insightful results. The Fourier series may also be adapted to obtain a discrete Fourier transform, which is applicable to discrete-time signals. The chapter briefly introduces the Laplace transform and z-transform.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Telecommunication signals and systems can be characterised in both the time and the frequency domains. This chapter begins with a discussion on the Fourier series applicable to continuous-time periodic signals. Using a mix of heuristic, graphical, and mathematical approaches, it explores the topic of Fourier series at a depth and breadth that are considered complete for the needs of modern engineering. The chapter emphasises how to derive the Fourier series either from first principles by evaluating integrals or by applying some of its properties. It then employs the tool of Fourier series to analyse flat-top sampling, sinusoidal pulse trains, and binary amplitude shift keying with very interesting and insightful results. The Fourier series may also be adapted to obtain a discrete Fourier transform, which is applicable to discrete-time signals. The chapter briefly introduces the Laplace transform and z-transform.
Key concepts: Fourier series, Discrete Fourier series, Fourier transform, Discrete-time Fourier transform, Fourier analysis, Frequency domain, Non-uniform discrete Fourier transform, Discrete Fourier transform (general)