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This is a project-oriented laboratory book with online supplementary files focused on digital signal processing (DSP) for students, instructors and professionals. The authors provide eleven large and detailed projects which take the reader through the essentials of signal processing applications. Included are MATLAB codes which are fully commented on for developing working proofs of concepts. The accompanying online material together with the text directly integrates theory into practice. The eleven projects include speech coding for cell phones, understanding brain scan imaging, how MP3 players compress the data rate of audio CDs, embedding private information in music without detection, and much more. Applied Signal Processing: A MATLAB™-Based Proof of Concept allows readers to benefit from the experience and expertise of professionals, researchers, and instructors in a variety of applied signal processing related fields, presented in a project framework. It is ideal for lecture and laboratory courses, and the subject matter is compatible for use along with most standard textbooks.

Signal processing --- Traitement du signal --- Digital techniques --- Computer-assisted instruction --- Techniques numériques --- Enseignement assisté par ordinateur --- Mathematics --- MATLAB. --- Signal processing -- Digital techniques -- Computer simulation. --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Applied Physics --- Electrical Engineering --- Telecommunications --- Digital techniques. --- Mathematics. --- Techniques numériques --- Enseignement assisté par ordinateur --- EPUB-LIV-FT LIVINGEN SPRINGER-B --- Digital signal processing --- MATLAB (Computer program) --- Matrix laboratory --- Engineering. --- Electrical engineering. --- Electronics. --- Microelectronics. --- Communications Engineering, Networks. --- Signal, Image and Speech Processing. --- Electronics and Microelectronics, Instrumentation. --- Electrical Engineering. --- Digital communications --- Digital electronics --- Telecommunication. --- Computer engineering. --- Computers --- Electrical engineering --- Physical sciences --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Design and construction --- Signal processing. --- Image processing. --- Speech processing systems. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Electric engineering --- Engineering --- MATLAB (Computer file) --- Signal processing - Digital techniques --- Signal processing - Digital techniques - Mathematics --- Signal processing - Computer-assisted instruction

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Multimodal signal processing is a 'hot' new area with applications in security (user identification) and medical health. Often these applications will be sensor networks, an area that is getting massive funding. Multi-modal refers to the different types of signals received from different source types: vision, speech, touch, smell and text. Processing these signals requires very different signal processing methods and techniques. This book provides the definitive reference on multimodal signal processing by the world's experts, giving state-of-the-art methods in multimodal signal and im

Multimodal user interfaces (Computer systems) --- Signal processing. --- Human-computer interaction. --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- MMUIs (Multimodal user interfaces) --- Engineering --- Electronics