Finding high-quality DSP resources can be challenging so I’ve compiled a list of resources that I use to master DSP. Full disclosure, some of the links provided are affiliate links, meaning I receive a small commission if you make a purchase using the links provided.
“Statistical Digital Signal Processing and Modeling” by Hayes is by far the best textbook I have ever owned. This is one of the textbooks I used in graduate school but it’s written in an easy to understand way. This book goes over such concepts as signal modeling, Wiener filtering, power spectrum estimation techniques, and adaptive filtering. This is the first book that I’ve read where the examples are clear and not only allow you to solve problems at the back of each chapter but also give you the tools to solve real-life issues.
“Digital Communications” by Proakis and Salehi is another book I used in graduate school. This book covers a wide range of topics in great detail (over 1,000 pages). Noteworthy chapters include Optimum Receivers for AWGN Channels, Carrier and Symbol Synchronization, Adaptive Equalization, and Spread Spectrum Signals for Digital Communications. If you’re looking to get into digital communications, this book covers the majority of topics you’ll need.
“Probability, Random Variables, and Stochastic Processes” by Papulis and Pillai does a great job introducing engineers to the complexity of the real world. The reality is that all signals measured from the real world exhibit some amount of randomness which can greatly impact your approach to solving problems. As you get into the more advanced topics of DSP, random variables and probability become increasingly important and having a solid understanding of the topic will help you immensely in your career.
As the name suggests, “Digital Signal Processing: A Computer Science Perspective 1st Edition” teaches digital signal processing concepts with the computer scientist in mind. Not only do you learn common DSP concepts and algorithms but you also learn about their impact on processors and how you might go about coding the algorithms efficiently.
“The Intuitive Guide to Fourier Analysis & Spectral Estimation” is written by Charan Langton. She is the creator of the popular digital communications website ComplexToReal.com. She gives great analogies that relate complicated concepts to everyday experiences. If you want a deep understanding of the Fourier analysis and not just understand the math, this book is for you.
“The Scientist and Engineer’s Guide to Digital Signal Processing” by Smith is a great primer on DSP concepts. It is surprisingly light on the math but allows you to understand the fundamentals of filter design. This is a really good book for beginners and a great reference for those established in the industry. You can even read Smith’s book for free at dspquide.com.