Introduction to Digital Signal Processing and Filter Design
A practical and accessible guide to understanding digital signal processing Introduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time signals and systems as well as the synthesis of these systems to meet specifications in the time and frequency domains. Striking the right balance between mathematical derivations and theory, the book features: Discrete-time signals and systems Linear difference equations Solutions by recursive algorithms Convolution Time and frequency domain analysis Discrete Fourier series Design of FIR and IIR filters Practical methods for hardware implementation A unique feature of this book is a complete chapter on the use of a MATLAB(r) tool, known as the FDA (Filter Design and Analysis) tool, to investigate the effect of finite word length and different formats of quantization, different realization structures, and different methods for filter design. This chapter contains material of practical importance that is not found in many books used in academic courses. It introduces students in digital signal processing to what they need to know to design digital systems using DSP chips currently available from industry. With its unique, classroom-tested approach, Introduction to Digital Signal Processing and Filter Design is the ideal text for students in electrical and electronic engineering, computer science, and applied mathematics, and an accessible introduction or refresher for engineers and scientists in the field. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online from the Wiley editorial department. An Instructor Support FTP site is also available.
Why Read This Book
You will get a concise, classroom-tested introduction to discrete-time signals and practical filter design methods that emphasizes hands-on approaches over abstract proof. The book walks you step-by-step through analysis (time and frequency), DFT/FFT basics, and common FIR/IIR synthesis procedures so you can apply techniques to real engineering problems quickly.
Who Will Benefit
Undergraduate/early-graduate students and practicing engineers who need a practical, application-oriented grounding in DSP and digital filter design.
Level: Intermediate — Prerequisites: Basic calculus, complex numbers and phasors, basic signals & systems concepts (continuous-time LTI intuition helpful); comfort with algebra and basic transforms.
Key Takeaways
- Analyze discrete-time signals and LTI systems in time and frequency domains using convolution, Z-transform, and Fourier methods.
- Compute and interpret Discrete Fourier Series, DFT and understand the role of the FFT for efficient spectral analysis.
- Design common FIR filters using windowing and frequency-sampling techniques to meet time/frequency specifications.
- Design standard IIR filters by transforming analog prototypes (bilinear transform, impulse invariance) and assess stability.
- Implement filter structures and understand practical issues such as numerical/finite-word-length effects and realization forms.
Topics Covered
- Introduction to discrete-time signals and systems
- Linear constant-coefficient difference equations and recursive algorithms
- Convolution and impulse response methods
- Z-transform and system function
- Frequency-domain analysis: DTFT, DFS, DFT
- Fast algorithms: FFT and computational issues
- FIR filter design: window methods and frequency sampling
- IIR filter design: analog prototypes, bilinear transform, impulse invariance
- Filter realization and structures (direct, cascade, lattice)
- Practical considerations: quantization, stability, and implementation
- Applications and worked examples in spectral analysis and filtering
Languages, Platforms & Tools
How It Compares
More applied and tutorial than Proakis & Manolakis (which is more mathematically rigorous); comparable to concise texts that emphasize filter synthesis and practical examples rather than deep theoretical proofs.
