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Continuous-Time Signals

ISBN-13: 9789048171989 / Angielski / Miękka / 2010 / 356 str.

Yuriy Shmaliy
Continuous-Time Signals Yuriy Shmaliy 9789048171989 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Continuous-Time Signals

ISBN-13: 9789048171989 / Angielski / Miękka / 2010 / 356 str.

Yuriy Shmaliy
cena 605,23
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Continuous-Time Signals is an extended description of continuous-time signals related to the course of Signals and Systems. As a time-varying process of any physical state of any object, which serves for representation, detection, and transmission of messages, a modern electrical signal possesses, in applications, many specific properties. To make possible for readers to deal with signals free, the book systematically covers major principle foundations of the signals theory. The representation of signals in the frequency domain (by Fourier transform) is considered with strong emphasis on how the spectral density of a single waveform becomes that of its burst and then the spectrum of its train. Different kinds of amplitude and angular modulations are analyzed noticing a consistency between the spectra of modulating and modulated signals. The energy and power presentation of signals is given along with their correlation properties. Finally, presenting the bandlimited and analytic signals, the book elucidates the methods of their description, transformation (by Hilbert transform), and sampling.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Electrical
Technology & Engineering > Electronics - Circuits - General
Technology & Engineering > Telecommunications
Wydawca:
Springer
Seria wydawnicza:
Signals and Communication Technology (Paperback)
Język:
Angielski
ISBN-13:
9789048171989
Rok wydania:
2010
Numer serii:
000352380
Ilość stron:
356
Waga:
0.57 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01

This is a nice book on signal processing in communication technology. Ideas are succinctly explained with simple examples and appealing mathematics. Almost all examples in the book are accompanied by illustrations. The material is well organized and the text is written readably. Chapter summaries are some of the compelling aspects of the book. Furthermore, end-of-chapter problems are well sorted and fit the themes that have been presented in their respective chapters. All the way, the book give glimpses of historical accounts by pointing to the originators and major contributors of signal processing and related areas.

At any rate, any one serious of doing signal processing should look into this book. In particular the brevity of the mathematics, the abundance of explanatory examples, etc., makes it accessible to readers at the advanced undergraduate level in the relevant field of studies. Surely, it can serve as a co-text or a reference for a course in signal processing.

Armin Hoffmann (Ilmenau)

Preface.

1. Introduction. 1.1 Signals Application in Systems. 1.2 Signals Classification. 1.3 Basic Signals. 1.4 Methods of Signals Presentation and Sescription. 1.5 Signals Transformation in Orthogonal Bases. 1.6 Summary. 1.7 Problems.

2. Spectral Presentation of Signals. 2.1 Introduction. 2.2 Presentation of Periodic Signals by Fourier Series. 2.3 Presentation of Signals by Fourier Transform. 2.4 Spectral Densities of Simple Single Pulses. 2.5 Spectral Densities of Complex Single Pulses. 2.6 Spectrums of Periodic Pulses. 2.7 Sectral Densities of Pulse-Bursts. 2.8 Spectrums of Periodic Pulse-Bursts. 2.9 Signal Widths. 2.10 Summary. 2.11 Problems.

3. Signal Modulation. 3.1 Introduction. 3.2 Types of Modulation. 3.3 Amplitude modulation. 3.4 Amplitude Modulation by Impulse Signals. 3.5 Amplitude Modulation by Periodic Pulses. 3.6 Types of Analog AM. 3.7 Types of Impulse AM. 3.8 Frequency Modulation. 3.9 Linear Frequency Modulation. 3.10 Frequency Shift Keying. 3.11 Phase Modulation. 3.12 Phase Shift Keying. 3.13 Summary. 3.14 Problems.

4. Signals Energy and Correlation. 4.1 Introduction. 4.2 Signal Power and Energy. 4.3 Signal Autocorrelation. 4.4 Energy and Power Spectral Densities. 4.5 Single Pulse with LFM. 4.6 Complex Phase-Coded Signals. 4.7 Signal Cross-Correlation. 4.8 Width of the Autocorrelation Function. 4.9 Summary. 4.10 Problems.

5. Bandlimited Signals. 5.1 Introduction. 5.2 Signals with Bandlimited Spectrum. 5.3 Hilbert Transform. 5.4 Analytic Signal. 5.5 Interpolation. 5.6 Sampling. 5.7 Summary. 5.8 Problems.

A. Tables of Fourier series and transform properties. B. Tables of Fourier series and transform of basic signals. C. Tables of Hilbert transform and properties. D. Mathematical formulas. References. Index.



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