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PhysicsA Practical Approach to Signals and Systems cover
THE BOOKSHELF · English

A Practical Approach to Signals and Systems

By Emilio
Preface. Abbreviations. 1 Introduction. 1.1 The Organization of this Book. 2 Discrete Signals. 2.1 Classification of Signals. 2.2 Basic Signals. 2.3 Signal Operations. 2.4 Summary. References. Exercises. 3 Continuous Signals. 3.1 Classification of Signals. 3.2 Basic Signals. 3.3 Signal Operations. 3.4 Summary. Reference. Exercises. 4 Time-Domain Analysis of Discrete Systems. 4.1 Difference Equation Model. 4.2 Classification of Systems. 4.3 Convolution-Summation Model. 4.4 System Stability. 4.5 Realization of Discrete Systems. 4.6 Summary. References. Exercises. 5 Time-Domain Analysis of Continuous Systems. 5.1 Classification of Systems. 5.2 D
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Preface. Abbreviations. 1 Introduction. 1.1 The Organization of this Book. 2 Discrete Signals. 2.1 Classification of Signals. 2.2 Basic Signals. 2.3 Signal Operations. 2.4 Summary. References. Exercises. 3 Continuous Signals. 3.1 Classification of Signals. 3.2 Basic Signals. 3.3 Signal Operations. 3.4 Summary. Reference. Exercises. 4 Time-Domain Analysis of Discrete Systems. 4.1 Difference Equation Model. 4.2 Classification of Systems. 4.3 Convolution-Summation Model. 4.4 System Stability. 4.5 Realization of Discrete Systems. 4.6 Summary. References. Exercises. 5 Time-Domain Analysis of Continuous Systems. 5.1 Classification of Systems. 5.2 Difference Equation Model. 5.3 Convolution-Integral Model. 5.4 System Response. 5.5 System Stability. 5.6 Realization of Continuous Systems. 5.7 Summary. Reference. Exercises. 6 The Discrete Fourier Transform. 6.1 The Time-Domain and Frequency-Domain. 6.2 The Fourier Analysis. 6.3 The Discrete Fourier Transform. 6.4 Properties of the Discrete Fourier Transform. 6.5 Applications of the Discrete Fourier Transform. 6.6. Summary. References. Exercises. 7 Fourier Series. 7.1 Fourier Series. 7.2 Properties of the Fourier Series. 7.3 Approximation of the Fourier Series. 7.4 Applications of the Fourier Series. 7.5 Summary. References. Exercises. 8 The Discrete-Time Fourier Transform. 8.1 The Discrete-Time Fourier Transform. 8.2 Properties of the Discrete-Time Fourier Transform. 8.3 Approximation of the Discrete-Time Fourier Transform. 8.4 Applications of the Discrete-Time Fourier Transform. 8.5 Summary. References. Exercises. 9 The Fourier Transform. 9.1 The Fourier Transform. 9.2 Properties of the Fourier Transform. 9.3 Fourier Transform of Mixed Class Signals. 9.4 Approximation of the Fourier Transform. 9.5 Applications of the Fourier Transform. 9.6 Summary. References. Exercises. 10 The z-Transform. 10.1 Fourier Analysis and the z-Transform. 10.2 The z-Transform. 10.3 Properties of the z-Transform. 10.4 The Inverse z-Transform. 10.5 Applications of the z-Transform. 10.6 Summary. References. Exercises. 11 The Laplace Transform. 11.1 The Laplace Transform. 11.2 Properties of the Laplace Transform. 11.3 The Inverse Laplace Transform. 11.4 Applications of the Laplace Transform. 11.5 Summary. Reference. Exercises. 12 State-Space Analysis of Discrete Systems. 12.1 The State-Space Model. 12.2 Time-Domain Solution of the State Equation. 12.3 Frequency-Domain Solution of the State Equation. 12.4 Linear Transformation of State Vectors. 12.5 Summary. Reference. Exercises. 13 State-Space Analysis of Continuous Systems. 13.1 The State-Space Model. 13.2 Time-Domain Solution of the State Equation. 13.3 Frequency-Domain Solution of the State Equation. 13.4 Linear Transformation of State Vectors. 13.5 Summary. Reference. Exercises. Appendix A Transform Pairs and Properties. Appendix B Useful Mathematical Formulas. Answers to Selected Exercises. Index.

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