We propose a simulation-based method to compute the achievable information rates for general multiple-input multiple-output (MIMO) intersymbol interference (ISI) channels with inputs chosen from a finite alphabet. Thi...
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We propose a simulation-based method to compute the achievable information rates for general multiple-input multiple-output (MIMO) intersymbol interference (ISI) channels with inputs chosen from a finite alphabet. This method is applicable to both deterministic and stochastic channels. As an example of the stochastic MIMO ISI channels, we consider the multiantenna systems over frequency-selective fading channels, and quantify the improvement in the achievable information rates provided by the additional frequency diversity (for both ergodic and nonergodic cases). In addition, we consider the multiaccess multiantenna system and present some results on the achievable information-rate region. As for the deterministic MIMO ISI channels, we use the binary-input multitrack magnetic recording system as an example, which employs multiple write and read heads for data storage. Our results show that the multitrack recording channels have significant advantages over the single-track channels, in terms of the achievable information rates when the inter-track interference is considered. We further consider practical coding schemes over both stochastic and deterministic MIMO ISI channels, and compare their performance with the information-theoretical limits. Specifically, we demonstrate that the performance of the turbo coding/decoding scheme is only about 1.0 dB away from the information-theoretical limits at a bit-error rate of 10(-5) for large interleaver lengths.
In this paper, we address the application of adaptive modulation and coding (AMC) for 3rd-generation (3G) wireless systems. We propose a new method for selecting the appropriate modulation and coding schemes (MCS) acc...
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In this paper, we address the application of adaptive modulation and coding (AMC) for 3rd-generation (3G) wireless systems. We propose a new method for selecting the appropriate modulation and coding schemes (MCS) according to the estimated channel condition. In this method, we take a statistical decision making approach to maximize the average throughput while maintaining an acceptable frame error rate (FER). We use a first order finite state Markov model to approximate the time variations of the average channel signal to noise ratio (SNR) in subsequent frames. The MCS is selected in each state of this Markov model (among the choices proposed in the 3G standards proposals) to maximize the statistical average of the throughput in that state. Using this decision making approach, we also propose a simplified Markov model with fewer parameters, which is suitable in systems where changes in the fading characteristics need to be accounted for in an adaptive fashion. Numerical results are presented showing that both of our models substantially outperform the conventional techniques that use a memoryless threshold based decision making.
Distributed Video coding (DVC) is an emerging video coding approach in the new era, particularly attractive due to its flexibility to introduce very simple encoder structures. This feature could be very effectively ut...
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Distributed Video coding (DVC) is an emerging video coding approach in the new era, particularly attractive due to its flexibility to introduce very simple encoder structures. This feature could be very effectively utilized in the design of low cost video. cameras. However, the DVC architecture commonly discussed in research literature has a fundamental drawback of involving a feedback channel between the encoder and the decoder, which restrains itself from being used in video storage based applications. In this paper, we discuss a solution to the above problem in DVC, with a novel unidirectional architecture. In the proposed design, the feedback channel is suppressed and the encoded (compressed) bit stream can be transferred onto storage media for offline processing. The proposed decoder uses the spatial and temporal properties of the video sequence to refine the side information for iterative decoding, with the repeated use of same parity bit stream. The simulation results depict a significantly improved performance over other conventional video coding techniques proposed for use in low to middle end video equipments, while involving a very low encoder complexity.
A new dirty paper coding technique that is robust against the gain attack is presented. Such a robustness is obtained by Adopting a set of (orthogonal) equi-energetic codewords and a correlation-based decoder. Due to ...
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A new dirty paper coding technique that is robust against the gain attack is presented. Such a robustness is obtained by Adopting a set of (orthogonal) equi-energetic codewords and a correlation-based decoder. Due to the simple structure of orthogonal codes, we developed a simple yet powerful technique to embed the hidden message within the host signal. The proposed technique is an optimal one, in that the embedding distortion is minimized for a given robustness level, where robustness is measured through the maximum pairwise error probability in the presence of an additive Gaussian attack of given strength. The performance of the dirty coding algorithm is further. improved by replacing orthogonal with quasi- orthogonal codes, namely, Gold sequences, and by concatenating them with an outer turbo code. To this aim, the inner decoder is modified to produce a soft estimate of the embedded message. Performance analysis is carried out by means of extensive simulations proving the validity of the novel watermarking scheme.
This letter proposes a method to retrieve the original image X out of multiple sets of SI (Side Information) in distributed video coding (DVC). Using turbo decoding methods, the most reliable segments from the decoded...
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This letter proposes a method to retrieve the original image X out of multiple sets of SI (Side Information) in distributed video coding (DVC). Using turbo decoding methods, the most reliable segments from the decoded Y-i's were selected for the composition of whose conditional entropy H(X vertical bar Y-infinity) became much lower than any individual conditional entropy H(X vertical bar Y-i). This proposal has improved the peak signal-to-noise ratio (PSNR) by 1.1 to 1.8 dB, compared to the conventional single SI-based approach.
We propose a tree-structured variable-length random binning scheme for lossless source coding. The existing source coding schemes based on turbo codes, low-density parity check codes, and repeat accumulate codes can b...
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We propose a tree-structured variable-length random binning scheme for lossless source coding. The existing source coding schemes based on turbo codes, low-density parity check codes, and repeat accumulate codes can be regarded as practical implementations of this random binning scheme. For sufficiently large data blocks, we show that the proposed scheme asymptotically achieves the entropy limit. We also derive the distribution of the compression rate achieved by the tree-structured random binning scheme. Comparing this distribution with the distribution obtained using a library of random binning schemes, we show that a nested code can achieve rates close to a library of codes but with much lower encoding/decoding complexity. With lossless turbo source coding being one of the most powerful source compression techniques, we investigate its performance relative to the proposed tree-structured random binning scheme. Our numerical results show that the compression rate achieved by lossless turbo source coding is far from the tree-structured random binning bound. In that, we suggest improvements to enable short-block-length turbo source codes to achieve compression rates close to the tree-structured random binning bound.
In this paper, a full-rate complex orthogonal space-time block (STB) coding scheme for multiple antennas in time division duplex (TDD) mode is proposed. Meanwhile, we employ turbo code as channel coding to improve the...
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ISBN:
(纸本)0780395387
In this paper, a full-rate complex orthogonal space-time block (STB) coding scheme for multiple antennas in time division duplex (TDD) mode is proposed. Meanwhile, we employ turbo code as channel coding to improve the performance of proposed STB code further by utilizing its soft decision information from multiple iterations decoding, random interleaver and good ability to combat the burst error of fading channel. Compared with full-diversity multiple antennas STB code schemes, the proposed code scheme can implement full rate, partial diversity and a smaller complexity. On the condition of same system throughput and concatenation of turbo code, the code has lower bit error rate (BER) than those low-rate and full-diversity codes.
One of the main goals of watermarking is to optimize capacity while preserving high video fidelity. This paper describes a watermarking scheme based on the spread spectrum paradigm with capacity enhancement using a st...
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ISBN:
(纸本)3540488251
One of the main goals of watermarking is to optimize capacity while preserving high video fidelity. This paper describes a watermarking scheme based on the spread spectrum paradigm with capacity enhancement using a state-of-the-art error correction technique - duo-binary turbo coding. A new watermark composition with novel bit-wise watermark bits interleaving scheme and bit-rate control on the macro-block level is proposed. In previous works, the perceptual watermark adjustment was mainly based on Watson Just Noticeable Difference (JND) model. A new JND estimation model based on block classification is presented. In addition, experimental results on perceptibility and robustness to transcoding are reported.
The application of error correction coding to side-informed watermarking utilizing polynomial detectors is investigated. The overall system is viewed as a code concatenation in which the outer code is a powerful chann...
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ISBN:
(纸本)0819452092
The application of error correction coding to side-informed watermarking utilizing polynomial detectors is investigated. The overall system is viewed as a code concatenation in which the outer code is a powerful channel code and the inner code is a low rate repetition code. For the inner code we adopt our previously proposed side-informed embedding scheme in which the watermark direction is set to the gradient of the detection function in order to reduce the effect of host signal interference. turbo codes are employed as the outer code due to their near capacity performance. The overall rate of the concatenation is kept constant while parameters of the constituent codes are varied. For the inner code, the degree of non-linearity of the detector along with repetition rate is varied. For a given embedding and attack strength, we determine empirically the best rate combinations for constituent codes. The performance of the scheme is evaluated in terms of bit error rate when subjected to various attacks such as additive/multiplicative noise and scaling by a constant factor. We compare the performance of the proposed scheme to the Spread Transform Scalar Costa Scheme using the same rates when subjected to the same attacks.
Distributed Video coding (DVC) is known as an emerging video coding technique, which primarily has a modified complexity balance in the encoder and decoder, in contrast to its traditional competitors. In DVC we have a...
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ISBN:
(纸本)9781424400379
Distributed Video coding (DVC) is known as an emerging video coding technique, which primarily has a modified complexity balance in the encoder and decoder, in contrast to its traditional competitors. In DVC we have a very simple low cost encoder which is an ideal feature for applications involving a large number of video capturing points located remotely and a centralized shared decoder. In this paper, we introduce a novel approach for DVC using turbo Trellis Coded Modulation (TTCM) to generate the parity information at the encoder to be sent over the channel and then to decode the parity with the side information at the decoder. The side information is generated using key frames passed to the decoder by the use of a pixel interpolation technique. TCM symbols are formed using the side information and the parity bit stream which are fed to the TTCM decoder. The decoded output is used to reconstruct the final video sequence. The results are compared with a turbo coding based DVC and it is evident that the proposed method outperforms its turbo code based counterpart by a significant margin.
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