The Real-Time Edge Intelligence Solutions Handbook
A Practical Framework for Building Commercial Edge Systems based on Physics and Mathematics
The Real-Time Edge Intelligence Solutions Handbook defines a new design workflow for intelligent edge systems, extending today’s Edge AI capabilities into a more disciplined and reliable engineering approach. At its core is Real-Time Edge Intelligence (RTEI) – a framework that unifies deterministic DSP, intelligent data-conditioning, and modern AI workflows into a single, coherent methodology that moves beyond traditional design paradigms. RTEI emphasizes predictable behaviour, interpretability, and standards-aligned design, reflecting the needs of compliance-driven sectors shaped by ISO and IEC requirements.
A typical RTEI system architecture demonstrating edge DSP algorithms and ML inferencing on an RTOS, with optional cloud services such as data lakes and device management. 
Using this system architecture as a foundation, this handbook draws on the expertise of industry experts with a strong track record of delivering commercial-grade edge systems, and provides software and system architects, product designers and researchers with a state-of-the-art overview of design methods, toolchains and workflows for building robust, explainable, and verifiable Real-Time Edge Intelligence solutions on Arm-based processors.
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A Three-Part Journey
From foundational concepts, through signals and systems, to real-world commercial deployment.
Covering four core areas essential to building Real-Time Edge Intelligence systems.
Signals & Systems
Overview of state-of-the-art signals and systems methods and DSP algorithms for sampled sensor data in RTEI systems, including: transform-based analysis (Fourier and related variants), system modelling (Laplace/z-transforms), digital filter design (FIR/IIR), and linear/nonlinear Kalman state estimation methods.
Presented in the context of working with real measurement data, with attention to numerical behaviour and efficient implementation on embedded processors.
Data-Driven & AI Methods
Overview of data-driven methods within RTEI signal chains – use of extracted features for detection, classification and estimation, and the role of ML models alongside deterministic DSP algorithms.
Addresses the strengths and limitations of data-driven approaches, highlighting the balance between model-based engineering (human intelligence) and data-driven inference in practical RTEI systems.
Embedded Implementation & Hardware
Overview of taking algorithms from simulation in Python/MATLAB to embedded firmware – floating- and fixed-point realisation, quantisation, sampling and timing constraints, memory usage, and hardware considerations for designing mixed-signal sensor frontends.
Focus on practical implementation challenges and best practices for implementation on Arm Cortex processors.
Building Customer-Centric RTEI Systems
Overview of the New Product Development (NPD) process for RTEI systems – from requirements and specifications through to implementation, measurement and verification.
Presented with practices aligned to IEC/ISO standards, demonstrated through three detailed real-world use case examples that take systems from concept to validated deployment.
What readers are saying
Most DSP books ignore AI, and most AI books ignore physics — Dr. Sanjeev brings these two worlds together very productively, providing a signal processing text for our modern era. He hits the right depth and breadth of signal processing background, and covers everything from Fourier transforms and Kalman filters to IEC-compliant ECG signal chains deployed on Arm Cortex-M hardware.
I was honoured to serve as a technical reviewer. I highly recommend this book for anyone building products that turn sensor data into real-time decisions.
A really interesting book, I liked the history and context provided at the start. The explanation of why filtering techniques are key to developing detection algorithms was especially relevant to my work, and I found the deep dive into each filter type very useful. It will be a very useful reference book I shall come back to many times.
Purchase a Copy and Start your Journey
| Edition | Format | Price |
|---|---|---|
| Digital Edition | PDF e-book | €47.50 |
| Printed Edition | Softcover | €69 |
| Bundle | PDF + Printed Edition | €99 |
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| Book Specifications | |
|---|---|
| Available Formats | Softcover and PDF e-book |
| Pages | 334 |
| Language | English |
| ISBN (softcover edition) | 9789465265599 |
| Publisher | Advanced Solutions Nederland (ASN) BV |
| Publication date | 17 February 2026 |
| Weight | 788 grams |
| Dimensions | 17 x 24 x 1.4 cm |