Tools for Signal Compression: Applications to Speech and Audio Coding

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In order to obtain higher compression ratio and quality, we focus on Lossy compression techniques on wave files as a base-line. This paper presents a tool to evaluate Lossy compression techniques according to the characteristics of the signal, in term of Quality, size, and context of use.

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Image formats, coding, and standards. Video signal and its properties. Spatial, time and subjective redundancy. Video compression standards. Storage, processing and transmission of multimedia content. Hardware and software implementations. Integration of multimedia content; synchronization.

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Multimedia systems and tools. General Competencies The purpose of the course is to give students fundamental knowledge on multimedia signals and technologies for their representation, processing, transmission and presentation. Learning Outcomes define media signals, their representation, processing and applications distinguish source coding and entropy coding and various algorithms for media compression apply and analyze methods for predictive and transform coding of media signals describe human visual perception model and explain properties of video signal explain differences between analog and digital video signal representation employ methods for image and video signal compression.

Tools for Signal Compression | Wiley Online Books

Week by Week Schedule Introduction to multimedia technologies. Architecture of multimedia system. Business aspects of multimedia systems and their applications. Multimedia signals and sources, requirements for their processing and transmission in multimedia systems. Principles of coding and compression.

Classification of methods. Lossless and lossy compression. Entropy coding. Huffman coder, Arithmetic coder. Entropy constrained scalar quantization. High rate analysis of entropy constrained scalar quantization. Predictive, transform and sub-band coding. Speech signal. Modeling and analysis. Parametric model and speech coding.

Coding standards and their properties. Demonstration of basic properties of different audio coding algorithms. Principles of speech synthesis and recognition. Bit allocation 40 3. Optimum transform 46 3.

predictive coding

Performance 48 Chapter 4. Entropy Coding 53 4. Introduction 53 4. Noiseless coding of discrete, memoryless sources 54 4. Noiseless coding of a discrete source with memory 66 4.

Lecture - 28 Audio Coding: Basic Concepts

Scalar quantizer with entropy constraint 73 4. Capacity of a discrete memoryless channel 79 4. Coding a discrete source with a fidelity criterion 83 PART 2. Introduction to Audio Signals 91 5. Speech signal characteristics 91 5. Characteristics of music signals 92 5. Standards and recommendations 93 Chapter 6.

Speech Coding 6.

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The 2. Audio Coding 7. MPEG-1layer 1 coder 7.

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DolbyAC-3 coder 7. Psychoacoustic model: calculating a masking threshold Chapter 8. Audio Coding: Additional Information 8.