Oppenheim, Alan V.,  1937- <br/><br/>
Signals & systems / 
 Signals and systems 
Alan V. Oppenheim, Alan S. Willsky with S. Hamid Nawab. 
 - 2nd ed. 
 - Englewood Cliffs ;  London :  Prentice-Hall International,  1997. 
 - xxiv, 957 p. :  ill ;  24 cm. 
 - Prentice-Hall signal processing series .
<br/><br/> "International edition"--cover.  Includes index. 
<br/><br/>(NOTE: Each chapter begins with an Introduction and concludes with a Summary.) 1. Signals and Systems. Continuous-Time and Discrete-Time Signals. Transformations of the Independent Variable. Exponential and Sinusoidal Signals. The Unit Impulse and Unit Step Functions. Continuous-Time and Discrete-Time Systems. Basic System Properties. 2. Linear Time-Invariant Systems. Discrete-Time LTI Systems: The Convolution Sum. Continuous-Time LTI Systems: The Convolution Integral. Properties of Linear Time-Invariant 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 Continuous-Time Periodic Signals. Convergence of the Fourier Series. Properties of Continuous-Time Fourier Series. Fourier Series Representation of Discrete-Time Periodic Signals. Properties of Discrete-Time Fourier Series. Fourier Series and LTI Systems. Filtering. Examples of Continuous-Time Filters Described by Differential Equations. Examples of Discrete-Time Filters Described by Difference Equations. 4. The Continuous-Time Fourier Transform. Representation of Aperiodic Signals: The Continuous-Time Fourier Transform. The Fourier Transform for Periodic Signals. Properties of the Continuous-Time Fourier Transform. The Convolution Property. The Multiplication Property. Tables of Fourier Properties and Basic Fourier Transform Pairs. Systems Characterized by Linear Constant-Coefficient Differential Equations. 5. The Discrete-Time Fourier Transform. Representation of Aperiodic Signals: The Discrete-Time Fourier Transform. The Fourier Transform for Periodic Signals. Properties of the Discrete-Time Fourier Transform. The Convolution Property. The Multiplication Property. Tables of Fourier Transform Properties and Basic Fourier Transform Pairs. Duality. Systems Characterized by Linear Constant-Coe 
<br/><br/> For undergraduate-level courses in Signals and Systems. This comprehensive exploration of signals and systems develops continuous-time and discrete-time 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, discrete-time processing of continuous-time signals, and feedback. Relatively self-contained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms. 
<br/><br/><label>ISBN: </label>0136511759 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Signal theory (Telecommunication)<br/>System analysis.
<br/><br/><label>LC Class. No.: </label>QA402  / .O63 1983 
<br/><br/><label>Dewey Class. No.: </label>003