Mohamed Najim – författare

Intelligent Integrated Media Communication Techniques contains many examples and applied methods explaining the basic architecture of the mobile terminals. It contains sufficient introductory material enabling also non-expert readers to understand the topics and to make a step towards system integration of complex future applications. Intelligent Integrated Media Communication Techniques is to stimulate developers, researchers, and marketing specialists for new and critical technologies and system concepts, which can be applied in intelligent personal terminals. All those participating in the area like service providers, consumer electronics designers and researchers from industrial development labs and from academia are invited to find practical approaches and concepts for easier design of mobile intelligent personal terminals.

The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing. Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are addressed. Secondly, estimation approaches based on least squares methods and instrumental variable techniques are presented. Finally, the book deals with optimal filters, i.e. Wiener and Kalman filtering, and adaptive filters such as the RLS, the LMS and their variants.

Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing, covering topics such as the z-transform, Shannon sampling theorem and fast Fourier transform. An entire chapter is devoted to the design of time-continuous filters which provides a useful preliminary step for analog-to-digital filter conversion. Attention is also given to the main methods of designing finite impulse response (FIR) and infinite impulse response (IIR) filters. Bi-dimensional digital filtering (image filtering) is investigated and a study on stability analysis, a very useful tool when implementing IIR filters, is also carried out. As such, it will provide a practical and useful guide to those engaged in signal processing.

Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing, covering topics such as the z-transform, Shannon sampling theorem and fast Fourier transform. An entire chapter is devoted to the design of time-continuous filters which provides a useful preliminary step for analog-to-digital filter conversion. Attention is also given to the main methods of designing finite impulse response (FIR) and infinite impulse response (IIR) filters. Bi-dimensional digital filtering (image filtering) is investigated and a study on stability analysis, a very useful tool when implementing IIR filters, is also carried out. As such, it will provide a practical and useful guide to those engaged in signal processing.

Intelligent Integrated Media Communication Techniques contains many examples and applied methods explaining the basic architecture of the mobile terminals. It contains sufficient introductory material enabling also non-expert readers to understand the topics and to make a step towards system integration of complex future applications. Intelligent Integrated Media Communication Techniques is to stimulate developers, researchers, and marketing specialists for new and critical technologies and system concepts, which can be applied in intelligent personal terminals. All those participating in the area like service providers, consumer electronics designers and researchers from industrial development labs and from academia are invited to find practical approaches and concepts for easier design of mobile intelligent personal terminals.

The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing.Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are addressed.Secondly, estimation approaches based on least squares methods and instrumental variable techniques are presented.Finally, the book deals with optimal filters, i.e. Wiener and Kalman filtering, and adaptive filters such as the RLS, the LMS and their variants.