Search for dissertations about: "Vector quantization VQ"
Showing result 1 - 5 of 9 swedish dissertations containing the words Vector quantization VQ.
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1. Towards Asymptotic Vector Quantization
Abstract : We study topics in source coding, and vector quantization (VQ) in particular. We approach VQ from two directions: a theoretical starting point based on high rate quantization theory, and a practical based on a database desription of the signal source. READ MORE
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2. On Soft Decoding and Robust Vector Quantization
Abstract : This thesis considers vector quantization for noisy channels. Vector quantization (VQ) is an important technique for block-based source coding, with applications in, e.g., speech and image coding. READ MORE
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3. Towards Low-Complexity Vector Quantization
Abstract : This thesis is about constructing low-complexity, yet high-performance, vector quantizers (VQs) for 'real-world' sources. Knowledge concerning the source is extracted from a finite training set. In contrast with conventional VQ design procedures, we use the training set to estimate a statistical model for the source. READ MORE
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4. On Robust LPC-spectrum Coding and Vector Quantization
Abstract : Digital speech coding is concerned with representing a discrete-time speech signal with as few bits per second as possible without introducing annoying artifacts in the coded speech. Many modern speech coders are based on Linear Predictive Coding (LPC) which employ a source-filter model for speech production. READ MORE
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5. Vector Quantization in Speech Coding. Variable Rate, Memory and Lattice Quantization
Abstract : This dissertation focuses on different quantization methods in speech coding. Variable rate quantization has the potential to substantially reduce the bit rate requirements in speech coding. READ MORE