The unprecedented growth in the range of multimedia services offered today by modern telecommunication systems, is possible because of the advancements in signal processing technologies and algorithms. SIGNAL PROCESSING FOR TELECOMMUNICATIONS AND MULTIMEDIA presents a group of invited contributions, some of which have been based on the papers presented at the 7th International symposium on DSP for Communication Systems held in Coolangatta on the Gold Coast, Australia, in December 2003. Part I of the book deals with applications of signal processing to transform what we hear or see to the form that is most suitable for transmission or storage for a future retrieval. The first three chapters in this section are devoted to processing of speech and other audio signals. The next two chapters consider image coding and compression, while the last chapter of this part describes classification of video sequences in the MPEG domain. Part II, consisting of eight chapters, describes the use of signal processing for enhancing performance of communication systems. This enables the most reliable and efficient use of those systems to support transmission of large volumes of data generated by multimedia applications. The topics considered in this part, range from error-control coding through some advanced problems of the code division multiple access (CDMA), to multiple-input multiple-output (MIMO) systems and space-time coding. The last part of SIGNAL PROCESSING FOR TELECOMMUNICATIONS AND MULTIMEDIA contains seven chapters that present some emerging system implementations, utilizing signal processing to improve system performance and allow for a cost reduction. The issues considered, range from antenna design and channel equalization through multi-rate digital signal processing, to practical DSP implementation of a wideband direct sequence spread spectrum modem. SIGNAL PROCESSING FOR TELECOMMUNICATIONS AND MULTIMEDIA is structured to meet the needs of a professional audience in industry. This book is also suitable for graduate-level students in computer science and electrical engineering.