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A scalable multiple description scalar quantizer (SMDSQ) is a quantization based framework used for scalable multiple description coding (SMDC). In this paper, we introduce a novel generalization of the Lloyd-Max algorithm to realize locally optimal SMDSQs. Both level-constrained and entropy-constrained cases are considered. For both cases, locally optimal solutions are realized by iterative execution...
The problem of sending two Gaussian sources over the Gaussian multiple access channel (MAC) with bandwidth expansion is studied. In this problem, two distributed transmitters desire to describe the two Gaussian sources to a common receiver subject to desired communication quality requirements and bandwidth expansion constraint. Of our interests is the minimum power and the transmission schemes to...
In this paper, we study the robustness of high-rate algebraic space-time block codes (STBCs) to coefficient quantization (CQ) at the transmitter in 2 × 2 MIMO fading channels. In particular, we investigate the impact of CQ on the bit error rates of the Golden code and the Silver code with M-QAM constellations. We assume infinite-precision operations at the receiver. Towards generating the matrix codewords,...
In this paper the Coding Efficiency in multi-bit delta-sigma based transmitters has been improved significantly by only adjusting the quantizer's threshold values. To achieve this, the transmitter's linearity should be compromised. Usually the space between thresholds in a quantizer of a multi-bit delta-sigma modulator is uniform which not the optimum choice is for Coding Efficiency. For an LTE signal...
In this paper we present a state of the art, practical, realtime, region of interest (ROI) video encoder implemented on the Texas Instruments TMS320DM3x SOC. The proposed algorithm is a novel rate distortion optimized ROI coding algorithm with low complexity making it ideal for implementing on embedded video SOCs with low computational and memory resources while achieving excellent perceptual quality...
We propose novel coding and decoding methods for a fully connected K-user Gaussian interference channel via assigning multiple codebooks (layers) to each transmitter, such that at each receiver decoding interferers partially becomes feasible. Each receiver first identifies which interferers it should decode and which layers of them should be decoded, and then successively decodes a group of layers...
An offline ECG compression technique, based on encoding of successive sample differences is proposed. The encoded elements are generated through four stages, viz., down sampling of raw samples, normalization of successive sample differences; data grouping; magnitude and sign encoding; and finally zero element compression. Initially, the compression algorithm is validated with short duration raw ECG...
We consider a networked control system with random delays and erasures on a data-rate limited forward channel between the controller and the plant. The feedback channel from the plant to the controller is assumed noiseless. We combine two techniques to enhance the reliability of the system. First, we use packetized predictive control, where a quantized control vector with future predicted control...
In AVS and H.264/AVC, Lagrangian Rate distortion (RD) optimization techniques are widely adopted for coding mode selection and displacement vector estimation. The optimal Lagrange multipliers in these two cases are both floating-point values. If RD optimized video encoder is implemented on computation-constrained fixed-point platform such as FPGA and ASIC, fixed-point Lagrange multiplier selection...
This paper deals with the problem of image transmission over error-prone channels. A comparison between ISO/IEC image coding standards JPEG, JPEG 2000 and JPEG XR is presented. The main objective is to evaluate the performances of the recently standardized JPEG XR in transmissions over channel affected by errors.
This paper studies the rate-distortion (R-D) performance of entropy-constrained dead-zone plus uniform threshold scalar quantization (DZ+UTSQ) and nearly-uniform reconstruction quantization (NURQ) for generalized Gaussian distribution (GGD). We first derive the preliminary constraint of R-D optimized DZ+UTSQ/NURQ for GGD. Then for GGD source of actual DCT coefficients, the refined constraint and precise...
We propose a new algorithm for improving the coding efficiency of bit-depth scalable video coding. While coding the enhancement layers in bit-depth scalable coding under scalable video coding framework, we apply a correction to the error residuals generated after the inverse tone mapping process. The correction factor is towards reducing the residual values close to zero and this leads to reduction...
In Multivew Video Coding (MVC), Hierarchial B Pictures (HBP) structure is adopted to remove the redundancy of multiview videos. It makes the rate control of MVC more difficult with respect to accurate bit control and good compression efficiency. The existing rate control algorithms of MVC are based on those of monoview video coding standards, which didn't exploit the correlations of multiview video...
State of the art hybrid video coding algorithms, e.g. H.264 / MPEG-4 AVC [1] and the currently emerging HEVC video coding standard [2], apply block-based prediction and subsequent block-based prediction error coding, which includes quantization. To reduce annoying block artifacts typically resulting from the combination of block-based processing and coarse quantization, adaptive deblocking filters...
In order to solve the contradiction between the transmission and storage requirements of massive electric physical information in smart grid and relative shortage of communication resources, this paper puts forward an novel encoding method based on Least Mean Square (LMS) adaptive filtering theory and Adaptive Differential Pulse Code Modulation (ADPCM) system in G.726 international standard proposed...
In this paper, a new method for synchronous coding of digital audio and video signals is proposed. The audio signal is embedded within video signal to produce synchronous hybrid signal that is further encoded. The receiver is able to extract the audio signal from the hybrid signal, and thus, is able to reconstruct two separate signals, the audio and the video. The proposed method enables synchronous...
Quantize-map-forward (QMF) and noisy network coding (NNC) differ primarily from compress-forward relaying in that relays do not hash their quantization bits. Two further differences are that source nodes use “long”-message repetitive encoding and destination nodes use simultaneous joint decoding. Recent work has shown that classic “short”-message encoding combined with backward decoding achieves the...
Rate control algorithm is one of important factors influencing the coding performance. In this paper, a low complexity rate control (LCRC) method is proposed. Instead of using RQ model and MAD model, LCRC determine the QP for P frames according to the allocated bits for current frame and the encoded bits of previous frame. Moreover, LCRC exploits a simple model to improve the initial QP determination...
A??@rate-distortion optimal rate control algorithm based ??I-domain for Video Coding is presented, which improves the existing rate model based ??I-domain and distortion model. It uses Lagrange optimization method and obtains optimization quantization parameter for video encoder. Experimental results show that the rate control algorithm can achieve better video quality than JM98's. The algorithm is...
In this paper, we improve on our previous work regarding component-based image coding, a hybrid transform-based/perceptual image coding scheme based on a decomposition of the image into structure and texture characterized by a Gaussian Markov random field. The 2D Itakura distance allows us to evaluate the performance of our texture model in terms of rate vs. distortion. A minimal quantization step...
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