Samuel D. Stearns – författare

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today''s powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communicati

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communications, geophysics, computer science, information technology, medicine, and biometrics. Updated and expanded, Digital Signal Processing with Examples in MATLAB®, Second Edition introduces the basic aspects of signal processing and presents the fundamentals of DSP. It also relates DSP to continuous signal processing, rather than treating it as an isolated operation.New to the Second Edition Discussion of current DSP applications New chapters on analog systems models and pattern recognition using support vector machinesNew sections on the chirp z-transform, resampling, waveform reconstruction, discrete sine transform, and logarithmic and nonuniform sampling A more comprehensive table of transformsDeveloping the fundamentals of DSP from the ground up, this bestselling text continues to provide readers with a solid foundation for further work in most areas of signal processing. For novices, the authors review the basic mathematics required to understand DSP systems and offer a brief introduction to MATLAB. They also include end-of-chapter exercises that not only provide examples of the topics discussed, but also introduce topics and applications not covered in the chapters.

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today''s powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communicati

Das Ziel dieses Buches ist es, die Grundlagen der digitalen Signalverarbeitung für Ingenieure und Physiker bereitzustellen. Die Anwendungen der Signalverarbeitung reichen in ungeheuer viele Bereiche und Wissenschaften: Nachrichtentechnik, Steuer- und Regelsysteme, Biologie und Medizin, Physik und Astronomie, Chemie, Seismologie, Flüssigkeitsdynamik und Radar-Entwurf, um nur einige zu nennen. Im ersten Teil des Buches werden die kontinuierlichen und digitalen Signale durch den Prozeß des Abtastens miteinander in Beziehung gesetzt. Im übrigen Text werden dann die Techniken der digitalen Signalanalyse und -verarbeitung ausführlich dargelegt. Viele lohnende Übungen sowie eine Diskette mit einer Bibliothek portabler Fortran-Module runden dieses seit Jahren beliebte Werk ab.