Engineering Real-Time Data Acquisition: Sensors, FPGA Processing, and Scalable Telemetry Systems (Aerospace Interface Standards Series)
Format:
Paperback
En stock
0.56 kg
Sí
Nuevo
Amazon
USA
- Engineering Real-Time Data Acquisition is a practical, architecture-driven guide for engineers building modern telemetry and measurement systems.This book explains how to move intelligence closer to the sensor — where signals still contain meaning — by combining analog front-end design, FPGA-based processing, real-time DSP pipelines, and scalable telemetry architectures. Instead of treating data acquisition as simple sampling and storage, it shows how filtering, compression, feature extraction, and detection must occur at line rate to reduce bandwidth, improve reliability, and enable faster decisions.Inside, you will learn how to:Design acquisition systems that respect physical signals and timing constraintsBuild FPGA streaming pipelines for filtering, FFTs, compression, and feature extractionImplement real-time anomaly detection and alarm logic at the edgeManage synchronization, timestamping, and data integrity in distributed systemsArchitect scalable telemetry systems that integrate cleanly with SCADA, historians, and machine-learning analyticsDecide what belongs in hardware, embedded CPUs, or the cloudWritten for engineers working in embedded systems, FPGA design, data acquisition, industrial monitoring, RF systems, and high-performance telemetry, this book bridges the gap between theory and real-world implementation.Engineering Real-Time Data Acquisition shows why the future of measurement is not collecting more data — but understanding signals where they are born.
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