Signals And Systems, 2Nd Edn
Please Read Notes: Brand New, International Softcover Edition, Printed in black and white pages, minor self wear on the cover or pages, Sale restriction may be printed on the book, but Book name, contents, and author are exactly same as Hardcover Edition. Fast delivery through DHL/FedEx express.
Why Read This Book
You will gain a rigorous, unified foundation in continuous- and discrete-time signal analysis that directly supports practical DSP tasks — from digital filter design and FFT-based spectral analysis to modern applications in audio, radar, and communications. The book balances mathematical depth with application-focused examples so you can both reason about algorithms and implement them for real-world signal-processing problems.
Who Will Benefit
Graduate students and practicing engineers in signal processing, communications, radar, and audio/speech who need a principled, mathematically sound toolkit to analyze, design, and implement DSP systems.
Level: Intermediate — Prerequisites: Calculus (multivariable), basic linear algebra (matrices, eigenvalues), introductory probability and random processes; prior exposure to basic signals or circuits is helpful; programming experience (MATLAB/Python/C) recommended but not required.
Key Takeaways
- Analyze LTI continuous- and discrete-time systems using convolution, impulse response, and state-space methods
- Apply Fourier, Laplace, and Z-transforms to derive frequency-domain behavior and to solve differential/difference equations
- Design and evaluate digital filters (FIR and IIR) and implement efficient FFT-based algorithms for spectral analysis
- Perform sampling and reconstruction correctly and assess aliasing, multirate processing, and practical anti-aliasing strategies
- Use statistical signal-processing tools for spectral estimation and adaptive filtering applicable to audio, speech, radar, and communications
- Translate theoretical results into implementations using numerical tools and validate system performance on real signals
Topics Covered
- 1. Signals, Systems, and Modeling
- 2. Time-Domain Analysis of Continuous- and Discrete-Time LTI Systems
- 3. Fourier Series and the Fourier Transform
- 4. Sampling, Reconstruction, and Multirate Concepts
- 5. Laplace Transform and Continuous-Time System Analysis
- 6. Z-Transform and Discrete-Time System Analysis
- 7. Convolution, Correlation, and System Properties
- 8. Frequency-Domain Methods: DTFT, DFT, and FFT Algorithms
- 9. Digital Filter Design: FIR and IIR Techniques
- 10. Spectral Analysis and Estimation Methods
- 11. State-Space Representations and Modern System Theory
- 12. Adaptive Filtering and Statistical Signal Processing
- 13. Wavelets, Time-Frequency Methods, and Practical Applications
- 14. Applications: Audio/Speech Processing, Radar, and Communications
Languages, Platforms & Tools
How It Compares
Covers foundational theory similar to Oppenheim & Schafer's Discrete-Time Signal Processing but emphasizes broader signals-and-systems principles and applications (Lathi's Signals and Systems is more tutorial/applied).
