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008			081014s1997 njua |b 001 0 eng
020			_a0136511759
039		9	_a201402040050 _bVLOAD _c201011230851 _dmalmash _c200810141322 _dmusallam _y200810141320 _zmusallam
050		0	_aQA402 _b.O63 1983
082			_a003 _219
100	1		_aOppenheim, Alan V., _d1937- _938185
245	1	0	_aSignals & systems / _cAlan V. Oppenheim, Alan S. Willsky with S. Hamid Nawab.
246	3	2	_aSignals and systems
250			_a2nd ed.
260			_aEnglewood Cliffs ; _aLondon : _bPrentice-Hall International, _c1997.
300			_axxiv, 957 p. : _bill ; _c24 cm.
440		0	_aPrentice-Hall signal processing series _948985
500			_a"International edition"--cover.
500			_aIncludes index.
505			_a(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
520			_aFor 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.
650		0	_aSignal theory (Telecommunication) _918573
650		0	_aSystem analysis. _91769
700	1		_aWillsky, Alan S. _934613
700	1		_aNawab, Syed Hamid. _948986
942			_2lcc _n0 _cBK
999			_c23098 _d23098