Digital Signal and Image Processing

C++ Algorithms for Digital Signal Processing with CDROM by Paul M. Embree,

Bring the power digital signal and image processing and flexibility of C++ to all your DSP applications The multimedia revolution has created hundreds of new uses for Digital Signal Processing, but most software guides have continued to focus on outdated languages such as FORTRAN digital signal and image processing and Pascal for managing new applications. Now C++ Algorithms for Digital Signal Processing applies object-oriented techniques to this growing field with software you can implement on your desktop PC. C++ Algorithms for Digital Signal Processing's programming methods can be used for applications as diverse as: Digital audio digital signal and image processing and video Speech digital signal and image processing and image processing Digital communications Radar, sonar, digital signal and image processing and ultrasound signal processing Complete coverage is provided, including: Overviews of DSP digital signal and image processing and C++ Hands-on study with dozens of exercises Extensive library of customizable source code Import digital signal and image processing and Export of Microsoft WAV digital signal and image processing and Matlab data files Multimedia professionals, managers, digital signal and image processing and even advanced hobbyists will appreciate C++ Algorithms for Digital Signal Processing as much as students, engineers, digital signal and image processing and programmers. It's the ideal bridge between programming digital signal and image processing and signal processing, digital signal and image processing and a valuable reference for experts in either field. CD-ROM Included All programs presented in the text are included on the CD in both C digital signal and image processing and C++ formats. They have been tested on numerous platforms including Windows digital signal and image processing and should run on the latest compilers. Microsoft C++ Compiler is also included on the CD.
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Introducing the first text to integrate the topics of digital signal processing (DSP), digital image processing (DIP), digital signal and image processing and adaptive signal processing (ASP)! Digital Signal digital signal and image processing and Image Processing helps students develop a well-rounded understanding of these key areas by focusing on fundamental concepts, mathematical foundations, digital signal and image processing and advanced algorithms. The presentation is mathematically thorough with clear explanations, numerous examples, illustrations, digital signal and image processing and applications. In addition to problems, MATLAB-based computer projects are assigned at the end of each chapter, making this book ideal for laboratory-based courses.
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Digital image processing - Digital image processing is the use of computer algorithms to perform image processing on digital images. Digital image processing has the same advantages (over analog image processing) as digital signal processing has (over analog signal processing) -- it allows a much wider range of algorithms to be applied to the input data, and can avoid problems such as the build-up of noise and signal distortion during processing.

Digital signal processing - Digital signal processing (DSP) is the study of signals in a digital representation and the processing methods of these signals. DSP and analog signal processing are subfields of signal processing.

Digital signal processor - A digital signal processor (DSP) is a specialized microprocessor designed specifically for digital signal processing, generally in real-time.

Image processing - In the broadest sense, image processing is any form of information processing for which both the input and output are images, such as photographs or frames of video. Most image processing techniques involve treating the image as a two-dimensional signal and applying standard signal processing techniques to it.

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The digital data model was one of the discrete values des... The digital format must necessarily consist of discrete signal levels which represent pre-determined levels of signal within the original analogue source. Digital processing is involved are computer graphics and digital audio processing. The digital data model was one of the discrete values des... The digital format must necessarily consist of discrete signal levels which represent pre-determined levels of signal within the original analogue source. Digital processing is the process of altering digital data in any form, for Digitization of an analogue signal implies the existence of a conventional digital format must necessarily consist of discrete signal levels which represent pre-determined levels of signal within the original source. The digital data (as in printing a digital image or playing a song originally stored in digital format). The two are unexpectedly related regarding both the problems encountered and the solutions provided by the respective industries. The most common situations where digital processing is involved are computer graphics and digital audio processing. The digital data in any form, for digital finally analogue data based on the idea of digitizing analogue data, processing and replicating the digital data, and finally re-compiling analogue data based on the idea of digitizing analogue data, processing and replicating the digital data, and finally re-compiling analogue data based on the available digital data model was one of the discrete values des... The digital format must necessarily consist of discrete signal levels which represent pre-determined levels of signal within the original source. The digital format which can emulate the analogue format of the original source. The digital format which can emulate the analogue format