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Scalable multiple description coding (SMDC) provides reliability and facility to truncate the descriptions according to the user rate-distortion requirements. In this paper we generalize the conditions of successive refinement of the side quantizer of a multiple description scalar quantizer that has overlapped quantizer cells generated by a modified linear index assignment matrix. We propose that...
Alter, Durand and Froment introduced the total-variation (TV) minimization approach to the artifact-free JPEG decoding, which is referred to as the ADF decoding method [1]. They formulated the decoding problem as the constrained TV restoration problem, in which the TV seminorm of its restored color image is minimized under the constraint that each DCT coefficient of the restored color image should...
Aiming for low-complexity encoding, distributed video coders still fail to achieve the performance of current industrial standards for video coding. One of most important problems in this area is the accurate modeling of the correlation between the predicted signal and the original video. In our previous work we showed that exploiting the quantization distortion can significantly improve the accuracy...
Recently, there has been an increasing interest in applying wireless sensor networks for health status monitoring both on and within the human body. Low power consumption is crucial in such applications, especially for implanted devices. UWB transmission is one way of making low power transmission possible. A further reduction in power consumption can be achieved through efficient signal compression...
We investigated two methods to improve the performance of high-density discrete hidden Markov model (HDDHMM). HDDHMM employs discrete densities with a very large codebook consisting of thousands to tens of thousands of vector quantization (VQ) codewords which are constructed as the product of per-dimension scalar quantization (SQ) codewords. Although the subsequent HDDHMM is fast in decoding, it is...
Advanced cooperation strategies in multi-user multi-input multi-output (MU-MIMO) wireless communication systems could be facilitated by knowledge of global channel state information (CSI). Obtaining global knowledge of CSI in such MU-MIMO systems, where each user knows the CSI between every pair of users, would enhance cooperation amongst users and also improve the performance of such systems. In...
In this paper, we propose a JND (Just Notice Distortion)-loss less image compression scheme that can improve the compression performance for JPEG-LS, while maintaining the image perceptual quality simultaneously. JND-loss less can be easily achieved by setting the quantization step size (QSS) to be double the JND value. However, dynamic JNDs make the coding of varying QSSs difficult and the JND estimated...
In this work we present a practical scheme for L-channel symmetric Multiple Description coding when one is only interested in receiving either a single description or all L descriptions. This scheme is based on oversampling and dithered Delta-Sigma quantization and is an extension of a scheme previously presented by Østergaard and Zamir. The oversampling process creates L redundant representations...
In this work, we present a novel approach for providing an adaptive bit-rate control for the Region-of-Interest (ROI) Scalable Video Coding (SVC). Recently, much of the attention in the field of video adaptation has been directed to the SVC, which is the extension of the H.264/AVC standard. The need for the scalability mainly arises from the need for spatial formats, bit rates or power. To fulfill...
In dithered lattice quantization, an intentional noise - dither - is being added to the source before the quantization and subtracted after the quantization. If the dither is uniform over the basic Voronoi region of the lattice, then it is known that the resulting error is independent of the source. This independence property is attractive for reducing the perceptual effects of the quantization, as...
This paper investigates the feedback stabilization problem for networked control systems (NCSs) with unknown disturbances, where sensors and actuators communicate with a remote controller over a multi-purpose network. A new control scheme, which relies on both information-theoretic and control-theoretic tools, is proposed to stabilize linear discrete-time plants. A sufficient condition for stabilization...
This paper investigates the stabilization problem for networked control systems (NCSs) with limited data rates over an additive white Gaussian noise (AWGN) channel. The notion of control with limited data rates means specifying the lower bound of data rates, above which there exists a coding and control scheme for stabilization of linear time-invariant systems. Different from the literatures, the...
Future semiconductor technologies will suffer from reliability issues, which requires a paradigm shift from the assumption of 100% reliable computations to fault-tolerant signal-processing systems. In this paper, we illustrate how the impact of unreliable circuits can be taken into account in the performance analysis of wireless communication systems. To this end, we consider the example of a multiple-input...
Fixed-point refinement of signal processing systems is an essential step performed before implementation of any signal processing system. Existing analytical techniques to evaluate performance of fixed-point systems are not applicable to the errors due to quantization in the presence of un-smooth operators. Thus, it is inevitable to use simulation to evaluate performance of fixed-point systems in...
This paper addresses the problem of stabilizing discrete-time linear systems with quantized state feedback control, where sensors, controllers and plants are connected by noisy communication channels. The approach to be proposed here is to implement dynamic uniform quantizers and dynamic state feedback controllers. The case with disturbance inputs is argued. It is derived that based on the policy,...
Bitrate adaptation and higher compression ratio are the major issues in world of Video compression. H.264 is the latest standard for video compression with high flexibility in compression ratio, quality of video and rate adaptation. This paper explores the possibility of bitrate reduction and proposes an algorithm to calculate the cost of each 8x8 subMacroblocks. Based on the threshold and the cost...
Distributed video coding (DVC) is an interesting research topic for emerging application scenarios requiring low complexity video encoding. The central Slepian-Wolf (SW) coding, in a DVC system, exploits the cross correlation between the side information and the original frame. But, it does not exploit the source entropy of the input symbols, which is exploited by entropy coding in conventional video...
Novel coding tools have been proposed recently to encode texture and depth maps of multiview images, exploiting inter-view correlations, for depth-image-based rendering (DIBR). However, the important associated bit allocation problem for DIBR remains open: for chosen view coding and synthesis tools, how to allocate bits among texture and depth maps across encoded views, so that the fidelity of a set...
In this paper a new iterative method is used to convert analog signals to digital (A/D) using sigma delta modulator (SDM). If intelligent reconstruction technique is used for decoding, either signals with higher bandwidth can be digitized or simpler circuitry can be utilized. An optimal family of SDM has recently been devised in order to improve performance of A/D converters. In this work, we improve...
In connection with the trend at Compression Solution For Monitoring Video Based On H.264, this paper propose an Efficient Compression Solution For Monitoring Video based on removal of redundant content, and describe it with the idea of Content Detection and Layered Quantization. This paper focus on the methods and implementation process of Macroblock-level layered quantization, and also analysis the...
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