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Orhan Gazi - Understanding Digital Signal Processing

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Orhan Gazi Understanding Digital Signal Processing
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This book explains digital signal processing topics in detail, with a particular focus on ease of understanding. Accordingly, it includes a wealth of examples to aid in comprehension, and stresses simplicity. The book is divided into four chapters, which respectively address the topics sampling of continuous time signals; multirate signal processing; the discrete Fourier transform; and filter design concepts. It provides original practical techniques to draw the spectrum of aliased signals, together with well-designed numerical examples to illustrate the operation of the fast transforms, filter algorithms, and circuit designs. Readers of this book should already have some basic understanding of signals and transforms. They will learn fundamental concepts for signals and systems, as the focus is more on digital signal processing concepts rather than continuous time signal processing topics.

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Springer Nature Singapore Pte Ltd. 2018
Orhan Gazi Understanding Digital Signal Processing Springer Topics in Signal Processing 10.1007/978-981-10-4962-0_1
1. Sampling of Continuous Time Signals
Orhan Gazi 1
(1)
Electronics and Communication Engineering Department, ankaya University, Etimesgut/Ankara, Turkey
Orhan Gazi
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Signal is a physical phenomenon that carries information. This physical phenomenon is described by mathematical functions, and usually the signal and its mathematical function are used for one another, i.e., synonymous. For instance, when we talk about a sinusoidal signal, we use the sinusoidal function, a mathematical function, to characterize the signal, and the name sinusoidal is used for the signal. Signals are usually depicted in graphs to observe their behavior and analyze them. Sinusoidal signals are the main signals and all the other signals can be considered as being made up of sinusoidal signals with different frequencies and amplitudes. That is to say, any continuous time signal can be written as sum of sinusoidal signals with different frequencies and amplitudes. Rectangular signal , square pulse signal, impulse train signal, triangle signal can be given as examples of continuous time signals.
Digital signals are obtained from continuous time signals via sampling operation. Digital signals are represented as mathematical sequences, and the elements of these sequences are nothing but the amplitude values taken from continuous time signals at every multiple of the sampling period. Since in the last several decades a huge improvement is achieved at the development of the digital devices, it has become almost a must especially for electrical engineers to have a good knowledge of digital signals. Digital signals are almost available in every part of our life. Computers, TVs, speakers, mobile phones, house equipment, and most of the other electronic devices process digital signals. In this chapter, we discuss the construction of digital signals via sampling operation, their spectral analyses, the case of aliasing, and reconstruction of a continuous time signal from its samples.
1.1 Sampling Operation for Continuous Time Signals
Let Picture 1 be a continuous time signal. We take samples from the amplitudes of this signal at every multiple of which is called sampling period and form a mathematical sequence The obtained - photo 2 which is called sampling period and form a mathematical sequence. The obtained mathematical sequence is called digital signal.
The sampling operation is described by the formula
11 where is of integer type and is the sampling period The block diagram - photo 3
(1.1)
where is of integer type and is the sampling period The block diagram of the - photo 4 is of integer type and is the sampling period The block diagram of the sampling operation is - photo 5 is the sampling period.
The block diagram of the sampling operation is depicted in Fig..
Fig 11 Sampling operation of a continuous time signal Lets now try to - photo 6
Fig. 1.1
Sampling operation of a continuous time signal
Lets now try to explain the sampling operation on a sinusoidal signal. The graph of the sinusoidal signal with period T is given in Fig..
Fig 12 Sine signal with period Lets now take some samples from the sine - photo 7
Fig. 1.2
Sine signal with period Lets now take some samples from the sine signal in Fig Fig 13 - photo 8
Lets now take some samples from the sine signal in Fig..
Fig 13 Sampling of the sine signal The sampled amplitude values are - photo 9
Fig. 1.3
Sampling of the sine signal
The sampled amplitude values are placed into an array and expressed as a mathematical sequence. The mathematical sequence obtained from the above sampling operation can be written as
which is a digital signal obtained from a continuous time signal The obtained - photo 10
which is a digital signal obtained from a continuous time signal. The obtained mathematical sequence can also be displayed graphically as in Fig..
Fig 14 Digital sine signal If starting index value ie is not - photo 11
Fig. 1.4
Digital sine signal
If starting index value, i.e., Picture 12 , is not indicated in the mathematical sequence, the index of the first element is accepted as Picture 13 .
Graphical illustration is usually employed for easy understanding of the sampling operation and to interpret the meaning of the received signal. Lets consider the sampling of sine signal again and write a mathematical expression for the digital sine signal. The continuous time sinus signal with period Understanding Digital Signal Processing - image 14 is written as
Understanding Digital Signal Processing - image 15
(1.2)
If the continuous time signal in () is sampled with sampling period we obtain the digital signal whose mathematical expression can be calculated - photo 16 , we obtain the digital signal whose mathematical expression can be calculated as 13 By giving - photo 17 whose mathematical expression can be calculated as
13 By giving negative and positive values to we obtain the amplitude - photo 18
(1.3)
By giving negative and positive values to we obtain the amplitude values of digital sine signal which can be shown as - photo 19 we obtain the amplitude values of digital sine signal which can be shown as
Understanding Digital Signal Processing - image 20
(1.4)
Example 1.1
Find the frequency and period of the continuous time signal Understanding Digital Signal Processing - image 21 . Sample the given continuous time signal with sampling period T s = 1/8 s and obtain the digital signal Understanding Digital Signal Processing - image 22
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