This book is a review of recent artificial intelligence approaches, initiatives and applications in engineering and science fields. It features contributions that highlight the use of techniques such as machine learning, mining engineering, modeling and simulation, and fuzzy logic methods in the fields of communication, networking and information engineering. The collection of chapters should inspire scholars involved in theoretical and applied sciences to contribute to research using computational intelligence principles and methods in their respective research communities. Professionals working on systems engineering, communications, innovative computing systems and adaptive technologies for sustainable growth, will also be able to benefit from the information provided in the book.

This comprehensive book covers spectral analysis theory for radio signals and innovative devices designed for filtering electromagnetic waves across diverse frequency ranges. The book features 14 chapters that explain the working of devices utilizing surface and bulk acoustic waves. The chapters provide insights into acousto-optical and acousto-electronic Fourier processors' design principles, description methods, and characteristics. The inclusion of algorithms for multi-channel frequency discriminators enhances the precision of radio signal frequency measurements, ensuring stability in tracking frequency meters amidst intense interference. The book also includes mathematical modeling and experimental studies of waveguide microwave filters and X-band multiplexers, specifically tailored for non-pressurized radio electronic equipment in space communication systems. Notably, the book introduces readers to a compelling alternative to conventional filters: 2-D periodic structures in the form of thin perforated metal meshes that offer compact solutions for millimeter and sub-millimeter wave systems. A significant portion of the book is dedicated to the development of highly selective microstrip filters, incorporating complex topological structures with limited resonators and numerous couplings. This approach allows for the formation of numerous attenuation poles at finite frequencies, facilitating the achievement of high electrical parameters and compact filter sizes. Engineers and scientists specializing in communication systems design and analog Fourier processors will find a wealth of well-established and original solutions within this book.

This e-book provides several state-of-the-art analog circuit design techniques. It presents both empirical and theoretical materials for system-on-a-chip (SOC) circuit design. Fundamental communication concepts are used to explain a variety of topics including data conversion (ADC, DAC, Σ-Δ oversampling data converters), clock data recovery, phase-locked loops for system timing synthesis, supply voltage regulation, power amplifier design, and mixer design. This is an excellent reference book for both circuit designers and researchers who are interested in the field of design of analog communication circuits for SOC applications.

This book is tailored to fulfil the requirements in the area of the signal processing in communication systems. The book contains numerous examples, solved problems and exercises to explain the methodology of Fourier Series, Fourier Analysis, Fourier Transform and properties, Fast Fourier Transform FFT, Discrete Fourier Transform DFT and properties, Discrete Cosine Transform DCT, Discrete Wavelet Transform DWT and Contourlet Transform CT. The book is characterized by three directions, the communication theory and signal processing point of view, the mathematical point of view and utility computer programs. The contents of this book include chapters in communication system and signals, Fourier Series and Power Spectra, Fourier Transform and Energy Spectra, Fourier Transform and Power Spectra, Correlation Function and Spectral Density, Signal Transmission and Systems, Hilbert Transform, Narrow Band-Pass Signals and Systems and Numerical Computation of Transform Coding. This book is intended for undergraduate students in institutes, colleges, universities and academies who want to specialize in the field of communication systems and signal processing. The book will also be very useful to engineers of graduate and post graduate studies as well as researchers in research centers since it contains a great number of mathematical operations that are considered important in research results.

This book presents research focused on the design of fractal antennas using bio-inspired computing techniques. The authors present designs for fractal antennas having desirable features like size reduction characteristics, enhanced gain, and improved bandwidths. The research is summarized in six chapters which highlight the important issues related to fractal antenna design and the mentioned computing techniques. Chapters demonstrate several applied concepts and techniques used in the process such as Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization (BFO). The work aims to provide cost-effective and efficient solutions to the demand for compact antennas due to the increasing demand for reduced sizes of components in modern wireless communication devices. A key feature of the book includes an extensive literature survey to understand the concept of fractal antennas, their features, and design approaches. Another key feature is the systematic approach to antenna design. The book explains how the IE3D software is used to simulate various fractal antennas, and how the results can be used to select a design. This is followed by ANN model development and testing for optimization, and an exploration of ANN ensemble models for the design of fractal antennas. The bio-inspired computing techniques based on GA, PSO, and BFO are developed to find the optimal design of the proposed fractal antennas for the desired applications. The performance comparison of the given computing techniques is also explained to demonstrate how to select the best algorithm for a given bio-inspired design. Finally, the book explains how to evaluate antenna designs. This book is a valuable resource for students (from UG to PG levels) and research scholars undertaking learning modules or projects on microstrip and patch antenna design in communications or electronics engineering courses.

Passive Location Method Based on Phase Difference Measurement presents groundbreaking information for developing passive positioning technologies. The author has put forward a series of innovative solutions from the perspective of engineering application theory with the aim of giving a basic understanding of the application of unambiguous phase difference localization techniques for long-range passive detection. On the basis of the existing linear solution of the double basis path difference positioning equation and the analysis of its intrinsic properties, this book starts from the study of the phase difference measurement method of the phase difference change rate, puts forward the concept of the differential function of the path difference per unit wavelength length and also discovers its jump law. It provides a possible way to solve the problem of unambiguous phase difference measurement. These results are of great significance to the development of passive localization techniques based on unambiguous phase difference measurement. Key Features: - Sequentially presents theoretical frameworks to build the readers knowledge for better understanding the topics - Presents a variety of unique method for solving kinematic positioning parameters and Doppler signal parameters by using unambiguous phase difference measurement. - Presents a variety of direction-finding and ranging methods based on short baseline array and using unambiguous phase difference measurement technology, and exhibits the method of constructing long baseline two-station direction finding and ranging with short baseline array - Presents a variety of two-station passive positioning methods based on angle measurement which are beneficial to improve the positioning accuracy on the basis of studying the relationship between the phase difference and angle - Presents the means to convert Doppler detection to the non-fuzzy phase difference measure, for the localization problem in which it is difficult to use the phase difference localization equation directly, since the accuracy of the phase difference measurement is better than that of the Doppler frequency difference - Presents a variety of new positioning methods and several novel concepts while demonstrating the theoretical exploration of passive location problem based on unambiguous phase difference measurement This reference is a resource for scholars, engineers and technicians involved in radio positioning research and the improvement of radar, satellite navigation systems, unmanned systems and Internet of Things infrastructure.