Build the skills needed to engineer next-generation systems using light Photonic Signals and Systems: An Introduction presents essential and current knowledge of light applied in the design of innovative photonic systems that engage both optical and electrical signals. The book demonstrates how to design photonic systems operating within the required approximations of the deployed photonic devices, mathematics of signal processing, and optical phenomena. Systems problems are solved using a variety of mature optical technologies, such as acousto-optics, liquid crystals, liquid optics, optical micro-electro-mechanical systems (MEMS), bulk optics, integrated optics, and optical fibers. End-of-chapter problems and solutions reinforce a thorough understanding of the material. Contents include: Nature of light Electromagnetic waves, light, and polarization Interference, coherence, and diffraction Optical building blocks—components Photonic systems using optical micro-electro-mechanical systems devices Photonic systems using acousto-optic devices Photonic systems using liquid crystal and liquid devices Optical experiments

Helping you to build the skills needed to engineer next-generation systems using light; this detailed guide presents essential and current knowledge of light applied in the design of innovative photonic systems that engage both optical and electrical signals. --

This Second Edition of "Photonic Signal Processing" updates most recent R&D on processing techniques of signals in photonic domain from the fundamentals given in its first edition. Several modern techniques in Photonic Signal Processing (PSP) are described: Graphical signal flow technique to simplify the analysis of the photonic transfer functions, plus its insights into the physical phenomena of such processors. The resonance and interference of optical fields are presented by the poles and zeros of the optical circuits, respectively. Detailed design procedures for fixed and tunable optical filters. These filters, "brick-wall-like", now play a highly important role in ultra-broadband (100GBaud) to spectral shaping of sinc temporal response so as to generate truly Nyquist sampler of the received eye diagrams 3-D PSP allows multi-dimensional processing for highly complex optical signals Photonic differentiators and integrators for dark soliton generations. Optical dispersion compensating processors for ultra-long haul optical transmission systems. Some optical devices essentials for PSP. Many detailed PSP techniques are given in the chapters of this Second Edition.

The potential of photonic signal processing (PSP) to overcome electronic limits for processing ultra-wideband signals, provide signal conditioning that can be integrated in line with fiber optic systems, and improve signal quality makes this technology extremely attractive for improvement in receiver sensitivity performance. Spanning the current transitional period, Photonic Signal Processing: Techniques and Applications addresses the merging techniques of processing and manipulating signals propagating in the optical domain. The book begins with a historical perspective of PSP and introduces photonic components essential for photonic processing systems, such as optical amplification devices, optical fibers, and optical modulators. The author demonstrates the representation of photonic circuits via a signal flow graph technique adapted for photonic domain. He describes photonic signal processors, such as differentiators and integrators, and their applications for the generation of solitons, and then covers the application of these solitons in optically amplified fiber transmission systems. The book illustrates the compensation dispersion using a photonic processor, the design of optical filters using photonic processor techniques, and the filtering of microwave signals in the optical domain. Exploring methods for the processing of signals in the optical domain, the book includes solutions to photonic circuits that use signal flow techniques and significant applications in short pulse generation, the filtering of signals, differentiation, and the integration of signals. It delineates fundamental techniques on the processing of signals in the optical domain as well as their applications that lead to advanced aspects of performing generation of short pulses, integration, differentiation, and filtering for optical communications systems and networks and processing of ultra-high speed signals.

"Microwave photonics is a rapidly growing field that lies at the intersection of microwave engineering and optics. The integration of photonics and microwave engineering has opened up new possibilities for high-speed communication, radar and sensing systems, and signal processing applications. This book contains both the basic theory and the experimental techniques to demonstrate the interdisciplinary applications of microwave photonic systems. It discusses the underlying concepts, techniques, and devices used in microwave photonics, as well as the latest advances in the photonic generation, processing, and distribution of arbitrary microwave waveforms. The role of fiber Bragg grating in microwave photonic systems is described from a dispersion compensation point of view. The book also provides a deeper understanding of microwave photonics sensor systems, highly steerable beamforming systems, and photonic excitation of antenna with applications in aerospace, defense, telecommunication, and biomedical sensing. Photonic excitation of an antenna refers to the process of exciting the antenna using light or photons instead of electrical signals. Overall, microwave photonics is an interdisciplinary field that deals with the interaction between light and microwaves, and its unique features, including high-speed, low-power consumption and large bandwidth, make it an attractive technology for future applications. This book is intended for researchers, engineers, and students who are interested in this exciting and rapidly evolving field"--

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to design optimum systems for effectively coping with unwanted signals. Key features: Considers a wide range of signals and noise, including analogue, discrete-time and bandpass signals in both time and frequency domains. Analyses the basics of digital signal detection using matched filtering, signal space representation and correlation receiver. Examines optimal filtering methods and their consequences. Presents a detailed discussion of the topic of Poisson processes and shot noise. An excellent resource for professional engineers developing communication systems, semiconductor devices, and audio and video equipment, this book is also ideal for senior undergraduate and graduate students in Electronic and Electrical Engineering.

This book provides a rigorous treatment of deterministic and random signals. It offers detailed information on topics including random signals, system modelling and system analysis. System analysis in frequency domain using Fourier transform and Laplace transform is explained with theory and numerical problems. The advanced techniques used for signal processing, especially for speech and image processing, are discussed. The properties of continuous time and discrete time signals are explained with a number of numerical problems. The physical significance of different properties is explained using real-life examples. To aid understanding, concept check questions, review questions, a summary of important concepts, and frequently asked questions are included. MATLAB programs, with output plots and simulation examples, are provided for each concept. Students can execute these simulations and verify the outputs.