Topic
Codebook
About: Codebook is a research topic. Over the lifetime, 8492 publications have been published within this topic receiving 115995 citations.
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TL;DR: It is shown that each Slepian-Wolf coding problem is related to a dual channel coding problem in the sense that the sphere packing exponents, random coding exponents), and correct decoding exponents in these two problems are mirror-symmetrical to each other.
Abstract: In this paper, it is shown that each Slepian-Wolf coding problem is related to a dual channel coding problem in the sense that the sphere packing exponents, random coding exponents, and correct decoding exponents in these two problems are mirror-symmetrical to each other. This mirror symmetry is interpreted as a manifestation of the linear codebook-level duality between Slepian-Wolf coding and channel coding. Furthermore, this duality, in conjunction with a systematic analysis of the expurgated exponents, reveals that nonlinear Slepian-Wolf codes can strictly outperform linear Slepian-Wolf codes in terms of rate-error tradeoff at high rates. The linear codebook-level duality is also established for general sources and channels.
31 citations
12 May 2008
TL;DR: This paper proposes a new system that employs separate models for the speech and music signals, and demonstrates the improved performance of the proposed approach for speech/music separation in some evaluation criteria.
Abstract: In this paper we address the application of single sensor source separation techniques to mixtures of speech and music. Three strategies for source modeling are presented, namely Gaussian scaled mixture models (GSMM), autoregressive (AR) models and amplitude factor (AF). The common ingredient to the methods is the use of a codebook containing elementary spectral shapes to represent non- stationary signals, and to handle separately spectral shape and amplitude information. We propose a new system that employs separate models for the speech and music signals. The speech signal proves to be best modeled with the AR-based codebook, while the music signal is best modeled with the AF-based codebook. Experimental results demonstrate the improved performance of the proposed approach for speech/music separation in some evaluation criteria.
31 citations
Patent•
12 Jan 2012TL;DR: In this paper, the interference cancellation matrix (ICM) is used to represent a composite signal (Y) as a plurality of subsidiary signals (y i ), each of which is transmitted by the node B for reception at a corresponding i th UE station.
Abstract: A method and system for beamforming in a multiple user multiple input multiple output (MIMO) communication system using a codebook may include a processor in a node B that enables generation of an interference cancellation matrix (W R ). The interference cancellation matrix, also referred to as a matched filter, may enable a composite signal (Y) to be represented as a plurality of subsidiary signals (y i ), each of which is transmitted by the node B for reception at a corresponding i th UE station. Each of the subsidiary signals y i may be generated based on a corresponding one of a plurality of data stream signals (x i ). The processor may enable generation of a precoding matrix (W T ) based on the interference cancellation matrix. A transmitter within the node B may enable generation of a plurality of signals based on the precoding matrix. The signals may be transmitted via a wireless communication medium.
31 citations
Patent•
14 Apr 2010
TL;DR: In this paper, a system and method for wireless communications with codebook adaptation with low feedback overhead is presented, which includes estimating channel statistics based on the first channel information, adapting a codebook using the channel statistics, and receiving a second channel information from the communications device.
Abstract: A system and method for wireless communications with codebook adaptation with low feedback overhead are provided. A method for controller operations includes receiving a first channel information from a communications device, estimating channel statistics based on the first channel information, adapting a codebook using the channel statistics, and receiving a second channel information from the communications device. The method also includes constructing a precoding matrix from the second channel information and the adapted codebook, and transmitting information precoded by the precoding matrix to the communications device.
31 citations
TL;DR: A binary-tree structure neural network model suitable for structured clustering and used to design tree search vector quantization codebooks for image coding that performs better than the generalized Lloyd algorithm in terms of distortion, bits per pixel, and encoding complexity.
Abstract: In this paper, we propose a binary-tree structure neural network model suitable for structured clustering. During and after training, the centroids of the clusters in this model always form a binary tree in the input pattern space. This model is used to design tree search vector quantization codebooks for image coding. Simulation results show that the acquired codebook not only produces better-quality images but also achieves a higher compression ratio than conventional tree search vector quantization. When source coding is applied after VQ, the new model performs better than the generalized Lloyd algorithm in terms of distortion, bits per pixel, and encoding complexity for low-detail and medium-detail images. >
31 citations