Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 58 for “"Vector Quantization"”.
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Fast algorithms for vector quantization picture coding
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1984.
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Vector quantization for spatiotemporal sub-band coding
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1990.
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Vector quantization applied to speech coding in the wireless environment
… the North American Digital Cellular (NADC) 8kbps Vector-Sum Excited Linear Prediction (VSELP) speech coder and is currently capable of simulating the complete IS-54 source and channel coding scheme. The system is tested using Multi-Stage Vector Quantization and Finite-State Vector Quantization …
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Speaker Identification Based On Discriminative Vector Quantization And Data Fusion
… (SI) approaches based on discriminative Vector Quantization (VQ) and data fusion techniques are presented in this dissertation. The SI approaches based on Discriminative VQ (DVQ) proposed in this dissertation are the DVQ for SI (DVQSI), the DVQSI with Unique speech feature vector space …
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Video coding with adaptive vector quantization and rate distortion optimization
… and to evaluate the prospects of adaptive <br>vector quantization for digital video compression. <br>Rate-distortion optimization aims to improve compression performance <br>using discrete optimization algorithms. We first describe and classify <br>algorithms that have been developed in the …
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Learning Vector Quantization for the Real-World: Privacy, Robustness, and Sparsity
… In particular, I focus on Generalized Learning Vector Quantization (GLVQ) models and their variation to metric adaptations. I show that the original GLVQ model bears the risk of revealing private information of samples present during the training. I propose three versions of training schemes …
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VECTOR QUANTIZATION USING ODE BASED NEURAL NETWORK WITH VARYING VIGILANCE PARAMETER
Vector Quantization importance has been increasing and it is becoming a vital element in the process of classification and clustering of different types of information to help in the development of machines learning and decisions making, however the different techniques that implements Vector …
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An Ordinary Differential Equation Based Model For Clustering And Vector Quantization
… of a novel adaptive dynamical system approach to vector quantization or clustering based on only ordinary differential equations (ODEs) with potential for a real-time implementation. The ODE-based approach has an advantage in making it possible real-time implementation of the system with either …
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Library-based image coding using vector quantization of the prediction space
Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1993.
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Use of linear predictive features and pattern recognition techniques to develop a vector quantization based blind SNR estimation system
… signal for analysis.</p> <p>In this thesis a Vector Quantization (VQ) based pattern recognition system approach is applied to estimate the SNR of speech signals. Features for the VQ system are derived from the speech signals through linear predictive analysis. The system is trained and tested …
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Efficient image compression system using a CMOS transform imager
… efficient encoding and decoding algorithms for vector quantization. A transform imaging system is implemented using a transform imager, and the baseline JPEG compression algorithm is implemented and tested to verify the functionality and performance of the transform imager system. The …
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Real-time video compression using DVQ and suffix trees
… algorithm based on the concept of differential vector quantization and the suffix tree. Differential vector quantization is a relatively new area that focuses on efficient compression of data. The present work integrates the compression provided by Differential vector Quantization and the speed …
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Vision-Based 3D Human Motion Analysis for Fall Detection and Bed-Exiting
… are applied for dimensionality reduction, vector quantization and feature translation. HMMs are well known for their application in temporal pattern recognition, thus they are chosen for this project to classify human motion which is a temporal sequence of postures. HMMs are trained by the …
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A Family of Hierarchical Encoding Techniques for Image and Video Communications
… using the quadtree representation of images and vector quantization. We use a mean-removal technique to separate the means image and the difference image. The difference image is then encoded as a breadth first traversal of the quadtree corresponding to the image. Vector quantization is then used …
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Spline wavelet image coding and synthesis for a VLSI based difference engine
… combined with minimum-mean squared error vector quantization to achieve image compression. Image synthesis is accomplished by utilizing the properties of the MRA and the architecture of a custom designed display processor, the Difference Engine. The latter is ideally suited to rendering …
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Investigation of Different Video Compression Schemes Using Neural Networks
… various techniques including transform coding, vector quantization and neural networks. this thesis neural network based methods are investigated to achieve good compression ratios while maintaining the image quality. Parts of this investigation include motion detection, and weight retraining. …
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