7 New Signal Processing Books Reshaping the Industry in 2025

What happens when decades of engineering expertise meets the evolving field of digital signal processing? Maurice Bellanger distills his extensive experience into this tenth edition, bridging the gap between abstract theory and hands-on application. You'll explore foundational principles before advancing to cutting-edge topics like digital signal processing for neural networks, with exercises reinforcing critical concepts at every step. This book suits engineers and researchers eager to grasp both the mathematical underpinnings and practical challenges of modern signal processing techniques, making it a steady companion rather than a flashy overview.

Dr. Orhan Gazi developed this text to bridge theoretical digital signal processing concepts with practical MATLAB applications, offering a hands-on approach to mastering key techniques. You’ll find detailed MATLAB examples illustrating sampling, spectral analysis, and filter design that demystify complex topics like discrete Fourier transforms and interpolation. The book suits engineers and students aiming to strengthen their computational skills while deepening their understanding of digital signal processing fundamentals. For instance, chapters on upsampling and downsampling provide clear, code-based demonstrations that help translate abstract theory into implementable solutions. If you’re looking to enhance both your programming and signal processing expertise, this book offers focused insights without unnecessary complexity.

This tailored book explores the groundbreaking developments reshaping signal processing in 2025. It examines the latest discoveries, from innovative digital algorithms to emerging hardware advances, focusing on topics directly aligned with your background and interests. By matching your specific goals, it reveals how cutting-edge research is transforming communication systems, radar technologies, and machine learning integration. The personalized content ensures you delve deeply into the areas that matter most to you, whether it’s novel filter designs, adaptive processing techniques, or software-defined radios. This focused exploration empowers you to stay informed and engaged with the forefront of signal processing advancements, providing a rich learning experience that aligns with your unique aspirations.

Drawing from decades of expertise in digital signal processing and radio technology, Albert F Peter and Dr. Jack Purdum offer a hands-on approach that bridges theory and practical construction in this detailed guide. You’ll explore fundamental DSP concepts and their circuit implementations before moving on to building the T41-EP transceiver—a fully functional, seven-band software-defined radio with advanced features like a 192kHz spectrum display and integrated CW decoder. The book’s open-source design encourages experimentation, making it ideal if you want to deepen your understanding of signal processing while engaging in real-world hardware projects. Its focus on accessible explanations and modular PCB designs suits enthusiasts ready to move beyond software simulations to tangible, customizable hardware.

Drawing from their extensive expertise in electrical engineering and communications, the authors present a detailed exploration of joint radar-communications (JRC) systems, a field that merges radar and communication technologies. You’ll gain a solid grasp of advanced algorithmic approaches, including beamforming, waveform design, and interference mitigation, supported by rigorous mathematical treatments. The book dives into practical applications such as autonomous vehicles and electronic warfare, making it particularly useful if you work in aerospace, defense, or automotive industries. If your focus is on the intersection of radar and communications and you want to understand the latest signal processing tools shaping this emerging field, this book offers a thorough, technical guide without unnecessary embellishment.

What started as a need to clarify complex digital signal processing methods became a focused exploration of advanced techniques applicable in computer engineering. This book guides you through sophisticated algorithms and theoretical models that shape modern signal analysis and synthesis, with chapters that break down concepts like spectral estimation and adaptive filtering. If you're aiming to deepen your technical grasp beyond the basics and implement cutting-edge DSP methods in practical scenarios, this book offers targeted insights without unnecessary fluff. Its compact 111 pages make it a focused read for those serious about honing their signal processing skills.

This tailored book explores the rapidly evolving landscape of signal processing as it stands in 2025. It offers an engaging examination of emerging challenges and breakthrough technologies, focusing specifically on the areas that align with your interests and expertise. By addressing your unique goals, it delves into cutting-edge developments such as advanced algorithms, machine learning integration, and new hardware approaches. The book reveals how to stay ahead of discoveries and adapt to innovations that are reshaping the field. Its personalized nature ensures a targeted learning experience that matches your background while emphasizing future-ready concepts and techniques essential for engineers and researchers.

Paulo S.R. Diniz draws on decades of expertise in analog and digital signal processing to explore the foundations and frontiers of this field, especially where it intersects with machine learning. You’ll find detailed explanations of core principles alongside emerging techniques that power innovations like autonomous vehicles and medical imaging. The book delves into adaptive signal processing, multirate systems, and stochastic processes, giving you a solid grasp of how these theories apply to cutting-edge technologies. If you’re aiming to deepen your understanding of signal processing’s role in modern machine learning applications, this book offers a thorough, research-backed perspective worth your time.

Unlike most signal processing books that dive straight into equations, Peter S. Wyckoff’s work takes you on a visual journey into the role of complex values in digital signal processing. You’ll learn how these values, starting from abstract concepts imagined in the 1740s, translate into practical tools used today in sampling, filtering, and FFT computations. The MATLAB examples and illustrations make challenging topics accessible, especially if you’re familiar with RF engineering or DSP basics. This primer suits engineers and students aiming to deepen their intuitive grasp of signal behavior beyond formulas, though it might feel slower-paced for those seeking purely advanced mathematical treatments.