"Adapted Compressed Sensing for Effective Hardware Implementations" is a technical book that focuses on algorithmic methods and hardware implementations in the field of Compressed Sensing (CS). The book provides a comprehensive analysis of how high-dimensional signals can be reconstructed from strategically chosen low-dimensional representations. The authors, Riccardo Rovatti, Mauro Mangia, Valerio Cambareri, Gianluca Setti, and Fabio Pareschi, explain a design flow and present physical realizations of sensor systems based on CS. They discuss the advantages and disadvantages of various design decisions from a pragmatic perspective and demonstrate how slight adjustments to the target signals can be crucial for resource conservation. The book also addresses practical aspects necessary for the operation of a CS-based sensor system, such as saturation, quantization, and leakage phenomena. The principles presented in the book are applicable to a wide range of applications, including analog-to-information converters.