Digital Signal Processing Handbook: A Practical Illustrated Guide to Understanding DSP - Couverture souple

Bonk, Larry

Couverture souple

ISBN 13 : 9798162105886

Editeur : Independently published, 2026

Synopsis

An algorithm can be mathematically correct—and still fail when real signals, numerical limits, and hardware constraints enter the picture…

Why can an FFT produce misleading results even when the code runs correctly?

How can a filter remove unwanted noise without destroying useful signal information?

What changes when a successful Python prototype must run on a resource-limited microcontroller?

Larry Bonk's Digital Signal Processing Handbook connects mathematical principles with numerical examples, illustrated waveforms, frequency-response plots, runnable code, and systematic verification. Its practical coverage spans Python, NumPy, SciPy, Matplotlib, MATLAB, and selected C/C++ implementation techniques.

Inside the handbook, you’ll explore how to:

• Understand discrete-time signals and fundamental operations.
• Calculate sampling rates and recognise aliasing.
• Explain quantisation and signal reconstruction.
• Apply convolution and correlation.
• Interpret DFT and FFT results.
• Investigate spectral leakage and window functions.
• Design practical FIR and IIR filters.
• Compare filter stability, phase, and computational cost.
• Perform multirate processing and resampling.
• Understand complex signals and I/Q processing.
• Apply Hilbert transforms and quadrature methods.
• Evaluate fixed-point arithmetic and numerical precision.
• Identify overflow and coefficient-scaling problems.
• Translate prototypes into embedded DSP implementations.
• Verify algorithms through repeatable tests and performance checks.

DSP need not be reduced to oversimplified explanations or buried beneath pages of unexplained derivations. The handbook builds understanding progressively, combining essential mathematics with worked calculations, visual demonstrations, engineering applications, and practical troubleshooting. Python supports experimentation, while MATLAB and C/C++ provide relevant alternatives for established workflows and embedded deployment.

Whether refreshing university knowledge or developing professional skills, readers gain a structured reference for understanding what an algorithm does, when it is appropriate, and how its behaviour can be checked.

If you want to turn complex DSP concepts into practical engineering solutions, then make this handbook your trusted reference for learning, implementation, and troubleshooting.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798162105886
• Reliure: Broché
• Nombre de pages: 268
• Coordonnées du fabricant: Printed by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg