10 Best Books on Estimation of Signals and Systems

“System Identification: An Introduction (Advanced Textbooks in Control and Signal Processing)” Book Review: This book teaches readers how to solve the system identification problem in an organized way. The book uses semi-physical or grey box modeling techniques, but it also introduces data-based and transfer function system descriptions. The book’s approach focuses on solving practical problems rather than using advanced math. The book shows how to use limited input-output data to identify static, dynamic, linear, nonlinear, time-invariant, and time-varying systems in both the frequency and time domains. The book uses simple models to teach readers how to perform and simulate the identification process for various applications, such as control, prediction, and experimental design. The book also uses more complex models from real-world applications to demonstrate the practical suitability of the described methods. At the end of each chapter, there are exercises to help students reinforce what they have learned, and the book is also suitable for professionals looking to review current methods on their own.

“Discrete-time Stochastic Systems: Estimation and Control (Advanced Textbooks in Control and Signal Processing)” Book Review: This book provides a detailed introduction to the evaluation and management of dynamic stochastic systems, including important concepts like Wiener filtering. The book covers two methods: state-space techniques and polynomial-based methods. It explains the similarities and differences between these approaches. The book also explores nonlinear aspects of stochastic systems. The polynomial method is shown to be a simpler and more efficient way of computing than the state-space method. The book emphasizes the importance of spectral factorization, which is often overlooked in other literature. It also includes new material on fixed-lag smoothing and algorithms for solving Riccati equations. This book is mainly intended for students studying for a Master’s degree in stochastic analysis and control, electronic engineering, or signal processing.

“Detection and Estimation for Communication and Radar Systems” Book Review: This book is a guide to detection and estimation theory and how it is used in real systems. It covers the basics of this theory and describes statistical tools that can be used to analyze, design, implement and improve real systems. It provides detailed explanations of different statistical methods so that readers can understand them better. The book uses many examples from communication, telecommunications and radar engineering to explain how theoretical results are applied in practice. It is a good resource for graduate students and professional engineers. The book includes over 80 practical problems to help readers apply what they have learned.

“Control System Design: An Introduction to State-Space Methods (Dover Books on Electrical Engineering)” Book Review: This book is for both students and professionals who want to learn about state-space methods for control system design. It covers topics like feedback control, frequency-domain analysis, and controllability and observability. The book also includes examples of how state-space methods can be used in various applications like aerospace, chemical process control, and robotics. The book has homework problems and examples from real-world applications.

“Robust and Adaptive Control: With Aerospace Applications (Advanced Textbooks in Control and Signal Processing)” Book Review: This book is about creating controllers that work reliably and accurately even when unexpected events occur. It mainly focuses on continuous dynamical systems and has examples from aerospace applications. The authors have used their professional experience at The Boeing Company to explain the theory and practical applications of control systems. The book is suitable for senior undergraduate and graduate students who have basic knowledge of root locus, Bode plots, and Nyquist plots, linear algebra, ordinary differential equations, and state-space methods. It is also helpful for practicing engineers and academic experts.

“Introduction to Wireless Digital Communication: A Signal Processing Perspective” Book Review: This book explains the basics of digital communication from the perspective of computerized signal processing. It covers important mathematical concepts, transmitter and receiver signal processing algorithms, channel models, and theories related to multiple antennas. The book is accessible to students, graduates, and practicing electrical engineers who want to learn about digital communication and receiver algorithms for wireless communication. The book builds on a signal processing foundation and does not require previous knowledge of analog or digital communication. Each chapter includes previews, bullet-point summaries, examples, and homework problems to help readers test their understanding.

“MMSE–Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems (Focus Series in Waves)” Book Review: This book explains how to find an orthogonal frequency division multiplexing (OFDM) signal in an intellectual radio situation using a joint and iterative station and noise evaluation technique. The author validates the different assumptions and claims made during the development of the technique by running simulations and comparing them with methods used in other studies.

“Filtering Theory: With Applications to Fault Detection, Isolation, and Estimation” Book Review: This book is about filtering for linear processes, which means designing channels that can estimate a signal with the least error. The book also covers how to use filtering theory for fault detection, isolation, and estimation. The book is divided into different classes of filtering problems, based on the availability of information about noise and other uncertainties. The book uses a structural approach to filter analysis and design, which can be applied to other engineering applications. This book is intended for engineers, graduate students, and researchers in filtering, signal processing, and control. It can be used as a graduate-level textbook for a course in filtering theory, assuming the reader has taken a first graduate course in state-space methods and a first course in filtering.

“Spectrum Estimation and System Identification” Book Review: This book explains how to analyze signals by looking at their energy distribution across different frequencies, and how to identify the system that produced the signal. It is aimed at graduate students, engineers, and researchers. The book introduces a new way of thinking about range assessment and system identification by using the concepts of positive and bounded functions. These concepts are commonly used in classical network analysis and synthesis problems, and can help solve many signal processing problems from a different perspective. Positive functions have previously been used to study interpolation problems, but this book shows that they can also be used to analyze system identification problems in an interesting way.

“State Estimation and Control for Low-cost Unmanned Aerial Vehicles” Book Review: The book is about designing a guidance, navigation, and control system for a low-cost UAV. It offers new methods for GNC system designers and reviews the current literature. The book includes examples and MATLAB simulations of state estimation, control, and fault detection and isolation (FDI) methods for the UAV. It also provides control algorithms such as classical, ideal, and fuzzy controllers, and compares their results. The book is useful for professionals in the aeronautic industry and researchers, as well as graduate and undergraduate students.