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Advanced DSP and Noise reduction P1

1.1 Signals and Information 1.2 Signal Processing Methods 1.3 Applications of Digital Signal Processing 1.4 Sampling and Analog−to−Digital Conversion H E LL O ignal processing is concerned with the modelling, detection, identification and utilisation of patterns and structures in a signal process. Applications of signal processing methods include audio hifi, digital TV and radio, cellular mobile phones, voice recognition, vision, radar, sonar, geophysical exploration, medical electronics, and in general any system that is concerned with the communication or processing of information. Signal processing theory plays a central role in the development of digital telecommunication and automation systems, and in efficient and optimal transmission, reception and. | 1 Advanced Digital Signal Processing and Noise Reduction Second Edition. Saeed V. Vaseghi Copyright 2000 John Wiley Sons Ltd ISBNs 0-471-62692-9 Hardback 0-470-84162-1 Electronic INTRODUCTION 1.1 Signals and Information 1.2 Signal Processing Methods 1.3 Applications of Digital Signal Processing 1.4 Sampling and Analog-to-Digital Conversion Signal processing is concerned with the modelling detection identification and utilisation of patterns and structures in a signal process. Applications of signal processing methods include audio hifi digital TV and radio cellular mobile phones voice recognition vision radar sonar geophysical exploration medical electronics and in general any system that is concerned with the communication or processing of information. Signal processing theory plays a central role in the development of digital telecommunication and automation systems and in efficient and optimal transmission reception and decoding of information. Statistical signal processing theory provides the foundations for modelling the distribution of random signals and the environments in which the signals propagate. Statistical models are applied in signal processing and in decision-making systems for extracting information from a signal that may be noisy distorted or incomplete. This chapter begins with a definition of signals and a brief introduction to various signal processing methodologies. We consider several key applications of digital signal processing in adaptive noise reduction channel equalisation pattern classification recognition audio signal coding signal detection spatial processing for directional reception of signals Dolby noise reduction and radar. The chapter concludes with an introduction to sampling and conversion of continuous-time signals to digital signals. 2 Introduction 1.1 Signals and Information A signal can be defined as the variation of a quantity by which information is conveyed regarding the state the characteristics the composition the .