Merkzettel Warenkorb
Produktbild: Digital Signal Processing First, Global Edition
- 16%

Digital Signal Processing First, Global Edition

16% sparen

92,99 € UVP 110,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.08.2016

Verlag

Pearson Education Limited

Seitenzahl

592

Maße (L/B/H)

25,4/20,3/3,2 cm

Gewicht

1440 g

Auflage

2

Sprache

Englisch

ISBN

978-1-292-11386-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.08.2016

Verlag

Pearson Education Limited

Seitenzahl

592

Maße (L/B/H)

25,4/20,3/3,2 cm

Gewicht

1440 g

Auflage

2

Sprache

Englisch

ISBN

978-1-292-11386-9

Herstelleradresse

Pearson
St.-Martin-Straße 82
81541 München
DE

Email: salesde@pearson.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Digital Signal Processing First, Global Edition

  • Introduction    

    1-1 Mathematical Representation of Signals  

    1-2 Mathematical Representation of Systems

    1-3 Systems as Building Blocks

    1-4 The Next Step



    Sinusoids

    2-1 Tuning Fork Experiment   

    2-2 Review of Sine and Cosine Functions

    2-3 Sinusoidal Signals

    2-3.1 Relation of Frequency to Period

    2-3.2   Phase and Time Shift

    2-4 Sampling and Plotting Sinusoids

    2-5 Complex Exponentials and Phasors

    2-5.1 Review of Complex Numbers

    2-5.2 Complex Exponential Signals

    2-5.3   The Rotating Phasor Interpretation

    2-5.4   Inverse Euler Formulas Phasor Addition

    2-6 Phasor Addition

    2-6.1   Addition of Complex Numbers

    2-6.2   Phasor Addition Rule

    2-6.3   Phasor Addition Rule: Example

    2-6.4   MATLAB Demo of Phasors

    2-6.5   Summary of the Phasor Addition Rule Physics of the Tuning Fork

    2-7.1   Equations from Laws of Physics

    2-7.2   General Solution to the Differential Equation

    2-7.3   Listening to Tones

    2-8 Time Signals: More Than Formulas

    Summary and Links

    Problems

    Spectrum Representation  

    3-1 The Spectrum of a Sum of Sinusoids

    3-1.1   Notation Change

    3-1.2   Graphical Plot of the Spectrum

    3-1.3   Analysis vs. Synthesis

    Sinusoidal Amplitude Modulation

    3-2.1   Multiplication of Sinusoids

    3-2.2   Beat Note Waveform

    3-2.3   Amplitude Modulation

    3-2.4   AM Spectrum

    3-2.5   The Concept of Bandwidth

    Operations on the Spectrum

    3-3.1   Scaling or Adding a Constant

    3-3.2   Adding Signals

    3-3.3   Time-Shifting x.t/ Multiplies ak by a Complex Exponential

    3-3.4   Differentiating x.t/ Multiplies ak by .j 2nfk/

    3-3.5   Frequency Shifting

    Periodic Waveforms

    3-4.1   Synthetic Vowel

    3-4.3   Example of a Non-periodic Signal

    Fourier Series

    3-5.1   Fourier Series: Analysis

    3-5.2   Analysis of a Full-Wave Rectified Sine Wave

    3-5.3   Spectrum of the FWRS Fourier Series

    3-5.3.1  DC Value of Fourier Series

    3-5.3.2  Finite Synthesis of a Full-Wave Rectified Sine

    Time–Frequency Spectrum

    3-6.1   Stepped Frequency

    3-6.2   Spectrogram Analysis

    Frequency Modulation: Chirp Signals

    3-7.1   Chirp or Linearly Swept Frequency

    3-7.2   A Closer Look at Instantaneous Frequency

    Summary and Links

    Problems



    Fourier Series

    Fourier Series Derivation

    4-1.1   Fourier Integral Derivation

    Examples of Fourier Analysis

    4-2.1   The Pulse Wave

    4-2.1.1  Spectrum of a Pulse Wave

    4-2.1.2  Finite Synthesis of a Pulse Wave

    4-2.2   Triangle Wave

    4-2.2.1  Spectrum of a Triangle Wave

    4-2.2.2  Finite Synthesis of a Triangle Wave

    4-2.3   Half-Wave Rectified Sine

    4-2.3.1  Finite Synthesis of a Half-Wave Rectified Sine

    Operations on Fourier Series

    4-3.1   Scaling or Adding a Constant

    4-3.2   Adding Signals

    4-3.3   Time-Scaling

    4-3.4   Time-Shifting x.t/ Multiplies ak by a Complex Exponential

    4-3.5   Differentiating x.t/ Multiplies ak by .j!0k/

    4-3.6   Multiply x.t/ by Sinusoid

    Average Power, Convergence, and Optimality

    4-4.1   Derivation of Parseval’s Theorem

    4-4.2   Convergence of Fourier Synthesis

    4-4.3   Minimum Mean-Square Approximation

    Pulsed-Doppler Radar Waveform

    4-5.1   Measuring Range and Velocity

    Problems