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In multimedia distribution platforms, one of the main challenges is to provide an efficient and accurate tracing process despite the lack of information about the colluders' strategy. Indeed, the original Tardos tracing performance is considered as suboptimal because of its agnostic behavior and conservative accusation regardless the collusion strategy. The Expectation Maximization algorithm has shown...
The Data Over Cable Service Interface Specification (DOCSIS) provides internet access via cable TV networks. The latest version 3.1 replaces the Physical Layer of previous DOCSIS versions. With DOCSIS 3.1, broadband cable network operators want to accelerate their networks to gigabit-per-second speeds. Enhancements include an increased bandwidth per downstream channel of up to 192MHz, Orthogonal Frequency-Division...
Advanced Cyber-Physical Systems aim for the balancing of restricted local resources of deeply embedded systems with cloud-based resources depending on the availability of network connectivity: in case of excellent connectivity, the off-loading of large amounts of data can be more efficient than the local processing on a resource- constraint platform, while this latter solution is preferred in case...
The accuracy of end-to-end distortion (EED) estimation is crucial to achieving effective error resilient video coding. An established solution, the recursive optimal per-pixel estimate (ROPE), does so by tracking the first and second moments of decoder-reconstructed pixels. An alternative estimation approach, the spectral coefficient-wise optimal recursive estimate (SCORE), tracks instead moments...
In recent years, most of the research about distributed video coding focus on how to get the exact side-information and virtual channel estimation parameters in order to achieve better rate-distortion performance. However, there is quite few research about the practical transmission issue, i.e., no practical and effective transmission scheme has been proposed yet for distributed video coding (DVC)...
This paper presents a thorough analysis of energy consumption of a software HEVC decoder. The evaluation utilizes a framework developed herein specifically to estimate the energy consumption in all levels of cache hierarchies. Our framework is based on analytical models combined with memory profiling; tools. Energy analyses of several cache hierarchies executing HEVC decoding with different input...
A novel modification is introduced in this paper for the belief propagation decoder of polar codes, wherein adjacent two processing stages are efficiently combined together to speed up decoding. Corresponding path based belief estimation method is presented in detail. The proposed decoder halves the number of stages of the conventional decoder and thus can significantly reduce the decoding latency...
Conventional bit-flipping (BF) algorithms spectacularly fail to handle punctured LDPC codes as they use hard decisions and, therefore, they cannot effectively cope with zero-reliability punctured symbols. However, BF techniques lead to low-cost high-speed decoders. This paper introduces a novel method that enables the use of BF-based iterative decoders for punctured LDPC codes. An erasure preprocessor...
We address the problem of channel estimation in a large multiple-input multiple-output (MIMO) system using pilot symbol aided algorithm in Rayleigh fading environment. Conventional minimum mean square error and minimum variance unbiased based channel estimators require the inversion of covariance matrices, which has computational complexity of the order of N^6, where N is the number of antennas at...
Ambient noise not only influences the data transmission but also causes incorrect CSI. To overcome the low SNR problem, traditional methods usually retransmit the same packet for enough times to increase the SNR. Unfortunately, recently works only focus on the failed data retransmission, yet totally overlook the incorrect channel estimation, which are not efficient for multi-user MIMO WLAN. As long...
In this paper, we propose a joint soft iterative detection scheme utilizing expectation maximization (EM) and low density parity check (LDPC) codes for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. A soft iterative MIMO detector is introduced, by exploiting soft-input soft-output in the detection and decoding, the tractable extrinsic information efficiently...
Channel coding and information theoretic approaches have been utilized in conventional non-volatile memories to overcome their inherent design limitations of leakage, coupling and refresh rates. However, the continuous scaling and integration constraints set on the current devices directed the attention towards emerging memory technologies as suitable alternatives. Memristive devices are prominent...
Due to famous mistake revising probability turbo coding is significantly used as a piece of advanced correspondence systems. In this paper different arrangement of turbo decoder with decreased element constrain dissemination is shown. In this changed decoder, standard cell based design using pipeline logarithm-most extreme a back (Log-MAP) calculation with clock gating and variable number of cycle...
In this paper we show that a small amount of bit stream features can be used to accurately estimate the energy consumption of state-of-the-art software and hardware accelerated decoder implementations for four different video codecs. By testing the estimation performance on HEVC, H.264, H.263, and VP9 we show that the proposed model can be used for any hybrid video codec. We test our approach on a...
This paper addresses the problem of the Monte Carlo method complexity reduction regarding bit error probability (BEP) estimation. A kernel-based BEP estimator is designed for coded M-ary quadrature amplitude modulation (QAM) transmissions schemes. The design of the kernel estimator is made in a context where the soft observations are spread along a bounded support. An Epanechnikov kernel function...
This paper presents a real-time closed-loop system to regulate the power consumption of multimedia mobile devices. The system feedback is an OS-level power estimator based on monitored events of the target system, i.e., an embedded development platform executing a video decoder. The implementation results match the expected ones from simulation and confirm that the system works with a suitable controller...
Even though Low-Density-Parity-Check (LDPC) code which has the decoding performance close to the Shannon Limit and it is designed as a powerful forward-error-correction (FEC) code in the Additive White Gaussian Noise (AWGN) channel, simulation results show that the performance of LDPC decoder is degraded when exposed to the impulsive noise. According to such a impulsive noise impact, joint iterative...
This paper considers a sequential estimation and sensor scheduling problem with one sensor and one estimator. The sensor makes sequential observations about the state of an underlying memoryless stochastic process, and makes a decision as to whether or not to send this measurement to the estimator. The sensor and the estimator have the common objective of minimizing expected distortion in the estimation...
By combining the advantages of distributed video coding (DVC) and compressive sensing (CS), distributed compressive video sensing (DCVS) poses itself as a very promising low-complexity video coding framework for distributed applications. In order to improve the rate-distortion performance of DCVS, much research efforts have been focused on exploring the best ways to utilize the spatial/temporal redundancy...
In this paper, a novel iterative equalizer applying soft feedback is introduced, the 2 symbols ISDIC (2S ISDIC) equalizer. The 2S ISDIC is the first equalizer that bridges the gap between the low complexity ISDIC equalizer which has poor performance, to the high complexity inverse channel equalizing methods, such as the LMMSE and the MMSE ISDIC equalizers, which have better performances. The 2S ISDIC...
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