
Signals and Systems (Paperback)
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DescriptionFor undergraduatelevel courses in Signals and Systems. This comprehensive exploration of signals and systems develops continuoustime and discretetime concepts/methods in parallel  highlighting the similarities and differences  and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discretetime processing of continuoustime signals, and feedback. Relatively selfcontained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and ztransforms.
 Publisher: Pearson Education Limited
 Published: 29 July 2013
 Format: Paperback 944 pages
 See: Full bibliographic data
 Categories: Communications Engineering / Telecommunications  Signal Processing
 ISBN 13: 9781292025902 ISBN 10: 1292025905
 Sales rank: 560,082
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Full bibliographic data for Signals and Systems
 Title
 Signals and Systems
 Authors and contributors
 Physical properties
 Format: Paperback
Number of pages: 944
Width: 216 mm
Height: 271 mm
Thickness: 29 mm
Weight: 1,714 g  ISBN
 ISBN 13: 9781292025902
ISBN 10: 1292025905  Classifications
BIC E4L: COM
Nielsen BookScan Product Class 3: S10.3T
BIC subject category V2: UYS
BISAC V2.8: TEC067000
DC23: 621.3822 Edition
 2, Revised
 Edition statement
 Pearson New International Edition
 Illustrations note
 Illustrations (black and white)
 Publisher
 Pearson Education Limited
 Imprint name
 Pearson Education Limited
 Publication date
 29 July 2013
 Publication City/Country
 Harlow
 Table of contents
 (NOTE: Each chapter begins with an Introduction and concludes with a Summary.) 1. Signals and Systems. ContinuousTime and DiscreteTime Signals. Transformations of the Independent Variable. Exponential and Sinusoidal Signals. The Unit Impulse and Unit Step Functions. ContinuousTime and DiscreteTime Systems. Basic System Properties. 2. Linear TimeInvariant Systems. DiscreteTime LTI Systems: The Convolution Sum. ContinuousTime LTI Systems: The Convolution Integral. Properties of Linear TimeInvariant Systems. Causal LTI Systems Described by Differential and Difference Equations. Singularity Functions. 3. Fourier Series Representation of Periodic Signals. A Historical Perspective. The Response of LTI Systems to Complex Exponentials. Fourier Series Representation of ContinuousTime Periodic Signals. Convergence of the Fourier Series. Properties of ContinuousTime Fourier Series. Fourier Series Representation of DiscreteTime Periodic Signals. Properties of DiscreteTime Fourier Series. Fourier Series and LTI Systems. Filtering. Examples of ContinuousTime Filters Described by Differential Equations. Examples of DiscreteTime Filters Described by Difference Equations. 4. The ContinuousTime Fourier Transform. Representation of Aperiodic Signals: The ContinuousTime Fourier Transform. The Fourier Transform for Periodic Signals. Properties of the ContinuousTime Fourier Transform. The Convolution Property. The Multiplication Property. Tables of Fourier Properties and Basic Fourier Transform Pairs. Systems Characterized by Linear ConstantCoefficient Differential Equations. 5. The DiscreteTime Fourier Transform. Representation of Aperiodic Signals: The DiscreteTime Fourier Transform. The Fourier Transform for Periodic Signals. Properties of the DiscreteTime Fourier Transform. The Convolution Property. The Multiplication Property. Tables of Fourier Transform Properties and Basic Fourier Transform Pairs. Duality. Systems Characterized by Linear ConstantCoefficient Difference Equations. 6. Time and Frequency Characterization of Signals and Systems. The MagnitudePhase Representation of the Fourier Transform. The MagnitudePhase Representation of the Frequency Response of LTI Systems. TimeDomain Properties of Ideal FrequencySelective Filters. Time Domain and FrequencyDomain Aspects of Nonideal Filters. FirstOrder and SecondOrder ContinuousTime Systems. FirstOrder and SecondOrder DiscreteTime Systems. Examples of Time and FrequencyDomain Analysis of Systems. 7. Sampling. Representation of a ContinuousTime Signal by Its Samples: The Sampling Theorem. Reconstruction of a Signal from Its Samples Using Interpolation. The Effect of Undersampling: Aliasing. DiscreteTime Processing of ContinuousTime Signals. Sampling of DiscreteTime Signals. 8. Communication Systems. Complex Exponential and Sinusoidal Amplitude Modulation. Demodulation for Sinusoidal AM. FrequencyDivision Multiplexing. SingleSideband Sinusoidal Amplitude Modulation. Amplitude Modulation with a PulseTrain Carrier. PulseAmplitude Modulation. Sinusoidal Frequency Modulation. DiscreteTime Modulation. 9. The Laplace Transform. The Laplace Transform. The Region of Convergence for Laplace Transforms. The Inverse Laplace Transform. Geometric Evaluation of the Fourier Transform from the PoleZero Plot. Properties of the Laplace Transform. Some Laplace Transform Pairs. Analysis and Characterization of LTI Systems Using the Laplace Transform. System Function Algebra and Block Diagram Representations. The Unilateral Laplace Transform. 10. The ZTransform. The zTransform. The Region of Convergence for the zTransform. The Inverse zTransform. Geometric Evaluation of the Fourier Transform from the PoleZero Plot. Properties of the zTransform. Some Common zTransform Pairs. Analysis and Characterization of LTI Systems Using zTransforms. System Function Algebra and Block Diagram Representations. The Unilateral zTransforms. 11. Linear Feedback Systems. Linear Feedback Systems. Some Applications and Consequences of Feedback. RootLocus Analysis of Linear Feedback Systems. The Nyquist Stability Criterion. Gain and Phase Margins. Bibliography. Answers. Index.