Modern Digital And Analog Communication Systems: Adapted Version
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 clear, engineer-friendly foundation in both analog and digital communications with rigorous treatment of noise, detection, and modulation alongside practical insights into spectral analysis and filtering. The book balances intuitive explanations with mathematical depth so you can design and evaluate real communication and DSP systems (FFT/spectral methods, matched filters, pulse shaping, and adaptive techniques) with confidence.
Who Will Benefit
Advanced undergraduates, graduate students, and practicing communication or signal-processing engineers who need a solid, application-oriented reference for designing and analyzing modern analog and digital communication systems and related DSP algorithms.
Level: Intermediate — Prerequisites: Undergraduate calculus and linear algebra, basic signals & systems (LTI systems, Fourier transforms), and introductory probability/probability density concepts; familiarity with complex numbers and basic circuit concepts helps.
Key Takeaways
- Analyze the impact of noise and distortion on analog and digital modulation schemes and compute system performance metrics (SNR, BER).
- Design and evaluate analog (AM, FM) and digital (PSK, QAM, ASK, FSK) modulation and demodulation systems.
- Apply Fourier analysis and the FFT for spectral estimation, filter design, and pulse-shaping to control bandwidth and intersymbol interference.
- Design matched filters and optimal receivers using statistical signal-processing principles and maximum-likelihood detection.
- Use sampling theory and discrete-time techniques to connect continuous-time communication concepts to DSP implementations.
- Assess channel effects and use adaptive equalization and basic statistical models to mitigate ISI and fading in practical systems.
Topics Covered
- Introduction to Signals, Spectra, and Systems
- Fourier Transforms and Signal Representation
- Probability and Random Processes for Communication
- Noise in Communication Systems
- Analog Modulation: AM and Variants
- Angle Modulation: FM and PM
- Signal Space, Sampling, and Pulse Modulation
- Digital Modulation Techniques (PSK, QAM, FSK, ASK)
- Matched Filters, Detection, and Receiver Design
- Performance over AWGN and Bandlimited Channels
- Inter-Symbol Interference, Pulse Shaping and Equalization
- Introduction to Information Theory and Coding
- Applications: Spectral Analysis, FFT, and System Examples
- Appendices: Mathematical Tools and Tables
Languages, Platforms & Tools
How It Compares
Compared with Proakis' Digital Communications (more mathematically heavy), Lathi & Ding is more accessible and balanced between analog and digital topics; compared to Haykin, it offers broader coverage of communication system analysis with clearer emphasis on spectral and receiver design.
