Multimedia Signals and Systems
Springer Science & Business Media, 2002. gada 31. dec. - 375 lappuses
Multimedia Signals and Systems is an essential text for professional and academic researchers and students in the field of multimedia.
Multimedia Signals and Systems is primarily a technical introductory level multimedia textbook, including problems, examples, and MATLAB® codes. It will be a stepping-stone for readers who want to research in audio processing, image and video processing, and data compression.
This book will also be useful to readers who are carrying out research and development in systems areas such as television engineering and storage media.
Anyone who seeks to learn the core multimedia signal processing techniques and systems will need Multimedia Signals and Systems. There are many chapters that are generic in nature and provide key concepts of multimedia systems to technical as well as non-technical persons.
There are also several chapters that provide a mathematical/ analytical framework for basic multimedia signal processing. The readers are expected to have some prior knowledge about discrete signals and systems, such as Fourier transform and digital filters. However, a brief review of these theories is provided. Additional material for this book, including several MATLAB® codes along with a few test data samples; e.g., audio, image and video may be downloaded from http://extras.springer.com.
Multimedia Signals and Systems is suitable for advanced-level courses in multimedia and is also a well-needed addition to the professional reference library in this area.
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achieve algorithm amplitude applications arithmetic coding audio signal B-frames band bandwidth basis functions bit-rate bits block bytes calculated channel Chapter chromaticity chrominance codec coder color companding complexity components compression ratio compression techniques corresponding DCT coefficients decoder dictionary digital audio digital video employs encoded energy entropy coding error Example Figure filterbank format gray level HDTV Hence highpass histogram horizontal Huffman code image compression input JPEG layer Lena image lowpass filter luminance MATLAB matrix Mbits/s method MIDI MIDI file modulation motion compensation motion estimation motion vectors MPEG multimedia multimedia system noise Note NTSC output performance pixel prediction processing provides quantization reconstructed redundancy represented resolution sampling frequency scanning schematic sequence shown in Fig sound spatial spectral spectrum storage subband symbols Table television transform transmission typical unitary transform vertical video coding wavelet window