Optimized Subvector Processing in Split Vector Quantization

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Channel Optimized Vector Quantization: Iterative Design Algorithms

Joint source-channel coding (JSCC) has emerged to be a major field of research recently. Channel optimized vector quantization (COVQ) is a simple feasible JSCC scheme introduced for communication over practical channels. In this work, we propose an iterative design algorithm, referred to as the iterative maximum a posteriori (MAP) decoded (IMD) algorithm, to improve COVQ systems. Based on this ...

متن کامل

Variable Length Tree-Structured Subvector Quantization

It is demonstrated in this paper that the encoding complexity advantage of a variable-length tree-structured vector quantizer (VLTSVQ) can be enhanced by encoding low dimensional subvectors of a source vector instead of the source vector itself at the nodes of the tree structure without signiicantly sacriicing coding performance. The greedy tree growing algorithm for the design of such a vector...

متن کامل

A fast encoding algorithm for vector quantization using dynamic subvector technique

The encoding of vector quantization (VQ) needs expensive computation for searching the closet codeword to the input vectors. In order to reduce computation burden, Pan et al. have developed an efficient full-search-equivalent algorithm by using the characteristics of the sums and variances of a vector and its two fixed subvectors recently. However, some computational redundancies still exist in...

متن کامل

Iterative split-and-merge algorithm for vector quantization codebook generation

Olli Nevalainen University of Turku Turku Centre for Computer Science Department of Computer Science Lemminkäisenkatu 14A Turku 20520 Finland Abstract. We propose a new iterative algorithm for the generation of a codebook in vector quantization. The algorithm starts with an initial codebook that is improved by a combination of merge and split operations. By merging small neighboring clusters, a...

متن کامل

Multi Switched Split Vector Quantization of Narrowband Speech Signals

Vector quantization is a powerful tool for speech coding applications. This paper deals with LPC Coding of speech signals which uses a new technique called Multi Switched Split Vector Quantization (MSSVQ), which is a hybrid of Multi, switched, split vector quantization techniques. The spectral distortion performance, computational complexity, and memory requirements of MSSVQ are compared to spl...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Communication and Information Systems

سال: 2010

ISSN: 1980-6604

DOI: 10.14209/jcis.2010.3