rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Understanding Digital Signal Processing with MATLAB® and Solutions
  name:
    name part: Poularikas, Alexander D.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2017
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : text file, PDF
  abstract: "The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal of the pilot communicating with the ground over the engine noise or a bioengineer listening for a fetus' heartbeat over the mother's. The text presents the methods for extracting the desired signals from the noise. Each new development includes examples and exercises that use MATLAB to provide the answer in graphic forms for the reader's comprehension and understanding."--Provided by publisher.
  table of contents: Half Title; Title Page; Copyright Page; Table of Contents; Abbreviations; Author; Chapter 1 Continuous and Discrete Signals; 1.1 Continuous Deterministic Signals; Periodic Signals; Non-Periodic Continuous Signals; Unit Step Functions; Ramp Function; Rectangular Function; Triangular Pulse Function; Signum Function; Sinc Function; Gaussian Function; Error Function; Exponential and Double Exponential Functions; Type of Signalsâ#x80;#x94;Even, Odd, Energy and Power; 1.2 Sampling of Continuous Signals-Discrete Signals; Table 1.1: Some Useful Functions in Analog and Discrete Forms.
  table of contents: Approximation of the Derivative and IntegralImpulse (delta) Function; Table 1.2: Basic Delta Function Properties; The Comb Function; 1.3 Signal Conditioning and Manipulation; Modulation; Shifting and Flipping; Time Scaling; Windowing of Signals; Table 1.3: Windows for Continuous Signal Processing; 1.4 Convolution of Analog and Discrete Signals; Analog Signals; Discrete Signals; Table 1.4: Basic Convolution Properties; 1.5 MATLAB Use for Vectors and Arrays (Matrices); Examples of Array Operations; Hintsâ#x80;#x93;Suggestionsâ#x80;#x93;Solutions of the Exercises.
  table of contents: Chapter 2 Fourier Analysis of Continuous and Discrete Signals2.1 Introduction; 2.2 Fourier Transform (FT) of Deterministic Signals; 2.3 Sampling of Signals; 2.4 Discrete-Time Fourier Transform (DTFT); 2.5 DTFT of Finite-Time Sequences; Windowing; 2.6 The Discrete Fourier Transform (DFT); The Inverse DFT (IDFT); 2.7 Properties of DFT; Linearity; Symmetry; Time Shifting; Frequency Shifting; Time Convolution; Frequency Convolution; Parsevalâ#x80;#x99;s Theorem; 2.8 Effect of Sampling Time T; 2.9 Effect of Truncation; Windowing; 2.10 Resolution; 2.11 Discrete Systems.
  table of contents: 2.12 Digital Simulation of Analog Systems2.12.1 Second-Order Differential Equations; Hintsâ#x80;#x93;Suggestionsâ#x80;#x93;Solutions of the Exercises; Appendix 2.1: Fourier Transform Properties; Appendix 2.2: Fourier Transform Pairs; Appendix 2.3: DTFT Properties; Appendix 2.4: DFT Properties; Chapter 3 The z-Transform, Difference Equations, and Discrete Systems; 3.1 The z-Transform; 3.2 Properties of the z-Transform; Table 3.1: Summary of z-Transform Properties; 3.3 Inverse z-Transform; Table 3.2: Common z-Transform Pairs; 3.4 Transfer Function; Higher-Order Transfer Functions.
  table of contents: 3.5 Frequency Response of Discrete Systems3.6 z-Transform Solution of Difference Equations; Hintsâ#x80;#x93;Suggestionsâ#x80;#x93;Solutions of the Exercises; Chapter 4 Finite Impulse Response (FIR) Digital Filter Design; 4.1 Introduction; 4.2 Finite Impulse Response (FIR) Filters; Discrete Fourier-Series Method; Commonly Used Windows; Discrete Fourier Transform Method; High-Pass Filter; Table 4.1: Frequency Transformations; Hintsâ#x80;#x93;Suggestionsâ#x80;#x93;Solutions of the Exercises; Appendix 4.1: Window Characteristics and Performance; Chapter 5 Random Variables, Sequences, and Probability Functions.
  note: Includes bibliographical references and index.
  subject:
    topic: Matrices And Mathematical Formulas
  subject:
    topic: Probabilities
  subject:
    topic: Sinusoidal Signals In Noise
  subject:
    topic: Signal processing
    topic: Digital techniques
  subject:
    topic: ElectricalEngineeringnetBASE
  subject:
    topic: Mathematics and Statistics for Engineers
  subject:
    topic: Probability
  subject:
    topic: Probabilités
  subject:
    topic: Traitement du signal
    topic: Techniques numériques
  subject:
    topic: probability
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Electrical
  subject:
    topic: MATLAB
  subject:
    topic: Probabilities
  subject:
    topic: Signal processing
    topic: Digital techniques
  classification: TK5102.9 P685 2017
  classification: 621.3822028553
  identifier: 9781315112855
  identifier: 131511285X
  identifier: 9781351623285
  identifier: 1351623281
  identifier: 9781351623261
  identifier: 1351623265
  identifier: 9781351623278
  identifier: 1351623273
  identifier: 9781138081437
  identifier: 9781351623278 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: CRCPR
    record creation date: 171027
    record change date: 20241108165848.0
    record identifier: in00005523858
    language of cataloging:
      language term: eng