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In this paper, we propose a new watermark-assisted method for the analysis of audio source signals present in a mixture. This work is motivated by the issue of quality-constrained source parameters estimation in under-determined mixtures where the blind approach is not efficient. Our method uses a specific coder-decoder configuration where the separated source signals are assumed to be known at the...
Correlation Noise Modeling (CNM) is a key factor to influence the performance of Distributed Video Coding (DVC). In most current CNM solutions, the distribution parameter is estimated based on the motion compensated residual frames and kept constant during the decoding process. A progressive correlation noise refinement method is proposed in this paper for transform domain Wyner-Ziv video coding to...
During the past decade, Distributed Video Coding (DVC) has emerged as a new video coding paradigm, shifting the complexity from the encoder - to the decoder-side. This paper addresses a problem of current DVC architectures that has not been studied in the literature so far, that is, the mismatch between the intra and Wyner-Ziv (WZ) quantization processes. Due to this mismatch, WZ rate is spent even...
The orthogonal multiple-access relay channel with two sources is considered. The goal of this paper is to show the applicability and effectiveness of a previously introduced quantize-and-forward scheme to a more realistic channel and system model, including orthogonal frequency division multiple access and multipath fading channels. Simulation results are provided to demonstrate the gain of quantize-and-forward...
We introduce quantization feature functions to represent continuous or large range discrete data into the symbolic CRF data representation. We show that doing this convertion in a simple way allows the CRF to automaticaly select discriminative features to achieve best performance. This system is evaluated on a segmentation task of degraded newspapers archives. The results obtained show the ability...
In this paper, we focus on the problem of improving image compression through steganography. Even if the purposes of digital steganography and data compression are by definition contradictory, these techniques might be used jointly to compress and to hide information within the same digital support. A novel image compression scheme, employing steganography to decrease the data file size, is investigated...
To solve the problem of the low speech signal quality on the FH channels with wideband rejective interference, the performance optimization of CVSD coding in the digital FH system was studied. A new CVSD demodulation arithmetic was designed based on the principle of traditional CVSD system. Then the rule for measuring the quality of speech signal was offered and presented the simulation method of...
The motion compensation is one of the most important mechanisms in the context of video coding, allowing the efficient coding of temporal information. Video coding standards have been using entropy coding for motion information which is more prone to transmission errors than fixed-length coding. In this paper, we propose a joint source-channel decoding (JSCD) scheme for robustly decoding motion vectors,...
During wireless video transmission, when an error is detected at the receiver, the packet is dropped immediately and error concealment is performed. However, this procedure does not always provide satisfactory results, especially when the motion is complicated or scene change occurs. Moreover, there are often uncorrupted macroblocks in the distorted packet. Hence, it can be important to utilize the...
Following the Compressed Sensing (CS) paradigm, this paper studies the problem of recovering sparse or compressible signals from (scalar) non-uniformly quantized measurements. We show that a simple adaptation of the Basis Pursuit De-Quantizer introduced earlier, that is, a sign sensitive weighting of their ℓp-norm fidelity constraint, yields good SNR improvements in the signal reconstruction. As a...
Image data compressed with JPEG XR when transmitted over error-prone channels is severely distorted. In fact, due to the adaptive coding strategies used by the codec, even a single bit error causes a mismatch in the alignment of the reading position from the bitstream, leading to completely different images at the decoder side. We propose an extension to the JPEG XR algorithm, consisting in an error...
The distributed video coding (DVC) paradigm constitutes a flexible framework where computational complexity can be freely distributed between encoder and decoder, hence favoring up-link oriented video applications where recording devices are modest in terms of computational power and are faced with energy consumption constraints. This contribution presents an original transform domain DVC architecture,...
In this paper, combination of the Pulse Width Modulation (PWM) technology and the Adaptive Differential Pulse Code Modulation (ADPCM) technology, design a digital synthetic voice chip. First of all, verilog hardware description language used to complete the design of decoding module, then the decoded digital voice signals transformed into PWM waves by using the PWM technology so as to drive the loudspeaker...
We consider network coding for the time-division two-way relay channel (TWRC). Based on achievable rates, we study the optimal transmission time allocation for a three-phase transmission protocol. While existing network coding schemes for the TWRC perform "hard" network coding, we propose a novel soft-information-based joint network-channel coding scheme. A detailed description of the operation...
Two methods are developed that can be applied to generate secret keys automatically from fading propagation channels that are reciprocal but have arbitrary (i.e. non Gaussian) statistics. Such methods may be necessary for physical-layer key generation in cases where the line-of-sight (LOS) component produces Rician channel statistics, not only because channel quantization based on Gaussian statistics...
This paper proposes a novel Rate-Distortion (R-D) model for a generic Embedded Multiple Description Scalar Quantizer (EMDSQ). The proposed model is experimentally validated for several quantizer instantiations, showing notable accuracy. Driven by the proposed model, a detailed theoretical analysis of a general EMDSQ-based Multiple Description Coding (MDC) system is carried out. In this context, an...
Audio Coding is widely used in telecommunications, computers, and electronic products and so on. Different audio Coding scheme has different compression efficiency and different vendors have different compression standards. This paper introduces MPEG-1, MPEG-2 AAC audio coding standards and principles. They, the mainstream of today's audio coding standards, is based on the psychoacoustic theory. They...
This paper considers a transmission scheme combining multiple description coding (MDC) and network coding (NC). Our aim is to benefit from the property of MDC to provide progressive quality improvement with the number of received packets and from the efficient use of network resources provided by NC. MDC is performed either via frame expansion (NC-MDC-F) or via correlating transform (NC-MDC-T). With...
Multiple description coding (MDC) is one of source coding techniques to encode realtime application source into multiple bitstreams. MDC supports multiple quality levels of decoding when transmitted over lossy channels such as packet networks. An MDC source encoder provides different representations of the source such that; when all descriptions are available at the receiver, an high-quality reconstruction...
Decoding of real BCH DFT (RBDFT) codes is considered in this paper. RBDFT codes find applications in several areas. Though the generator matrix of RBDFT codes is real, the parity check matrix is still complex, because of which complex arithmetic operations are necessary at the decoder. But for a real message vector, the syndromes of RBDFT code preserve Hermitian symmetry. This Hermitian symmetric...
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