Hybrid channel coding for multiresolution HDTV terrestrial broadcasting

Polley, Michael O.; Wee, S.; Schreiber, William F.

doi:10.1109/icip.1994.413312

Cited by 16 publications

(9 citation statements)

References 3 publications

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“…This approach can be potentially very inefficient for applications involving the transmission of video and images. This fact is already understood and generally acknowledged by researchers [1]- [4], but efficient methods of combining source and channel coders into a joint system are still under investigation. The increased complexity of the problem involving this joint design calls for the formulation of new frameworks that expose the fundamental underlying tradeoffs in source and channel coding.…”

Section: Introductionmentioning

confidence: 92%

Robust image transmission over energy-constrained time-varying channels using multiresolution joint source-channel coding

Kozintsev

Ramchandran

1998

IEEE Trans. Signal Process.

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We explore joint source-channel coding (JSCC) for time-varying channels using a multiresolution framework for both source coding and transmission via novel multiresolution modulation constellations. We consider the problem of still image transmission over time-varying channels with the channel state information (CSI) available at 1) receiver only and 2) both transmitter and receiver being informed about the state of the channel, and we quantify the effect of CSI availability on the performance. Our source model is based on the wavelet image decomposition, which generates a collection of subbands modeled by the family of generalized Gaussian distributions. We describe an algorithm that jointly optimizes the design of the multiresolution source codebook, the multiresolution constellation, and the decoding strategy of optimally matching the source resolution and signal constellation resolution "trees" in accordance with the time-varying channel and show how this leads to improved performance over existing methods. The realtime operation needs only table lookups. Our results based on a wavelet image representation show that our multiresolutionbased optimized system attains gains on the order of 2 dB in the reconstructed image quality over single-resolution systems using channel optimized source coding.

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Section: Introductionmentioning

confidence: 92%

Robust image transmission over energy-constrained time-varying channels using multiresolution joint source-channel coding

Kozintsev

Ramchandran

1998

IEEE Trans. Signal Process.

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“…The second solution, called Simple Chunk Scaling with Hadamard Transform (SCSHT), considers the optimal chunk scaling (10) obtained considering the total power constraint (8). The scaled chunks are then Hadamard-transformed to get transformed chunks of similar power Peq/nSB, see Fig.…”

Section: Alternative Solutionsmentioning

confidence: 99%

“…Joint source-channel video coding (JSCVC) has the potential for dramatically improve the quality of the received video in such challenging conditions, as demonstrated recently by breaking-through systems such as Softcast and its variants [5][6][7]. Reminiscent of hybrid digital-analog video coding ideas proposed by [8,9], Softcast is a JSCVC scheme that encodes the video content with linear-only operators (such as a full-frame DCT and scaling). The original pixel luminance is transformed into numerical values that are sent on the channel with an extremely dense modulation.…”

Section: Introductionmentioning

confidence: 99%

Softcast with per-carrier power-constrained channels

Zheng

Antonini

Cagnazzo

et al. 2016

2016 IEEE International Conference on Image Processing (ICIP)

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International audienceThis paper considers the Softcast joint source-channel video coding scheme for data transmission over parallel channels with different power constraints and noise characteristics, typical in DSL or PLT channels. To minimize the mean square error at receiver, an optimal precoding matrix design problem has to be solved, which requires the solution of an inverse eigenvalue problem. Such solution is taken from the MIMO channel precoder design literature. Alternative sub-optimal precoding matrices are also proposed and analyzed, showing the efficiency of the optimal precoding matrix within Softcast, which provides gains increasing with the encoded video quality

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“…The combination of power control and joint source and channel coding for wireless video has taken on an increasing importance [3,14,15]. In order to launch independently layered bitstreams to the individual antennas, a scalable video codec was adopted to generate multi-layer video bitstreams [26] where power allocation was implemented to optimize error performance according to the importance of the source layer, using unequal error protection (UEP).…”

Section: Previous Workmentioning

confidence: 99%

Scalable video delivery over MIMO OFDM wireless systems using joint power allocation and antenna selection

Zhao¹,

You²,

Gui³

2010

Bell Labs Tech. J.

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This paper proposes a scalable video delivery transmission framework over multiple input multiple output (MIMO) wireless systems promises to provide next-generation wireless services such as voice, high-speed data, Internet access, and audio and video streaming on an all-IP network. However, wireless video is highly sensitive to delay and bit error rate (BER)/packet loss in a bandwidth-constrained and variant environment. Furthermore, many existing mobile networks cannot provide a guaranteed quality of service because temporally high bit error rates are unavoidable during

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Hybrid channel coding for multiresolution HDTV terrestrial broadcasting

Cited by 16 publications

References 3 publications

Robust image transmission over energy-constrained time-varying channels using multiresolution joint source-channel coding

Robust image transmission over energy-constrained time-varying channels using multiresolution joint source-channel coding

Softcast with per-carrier power-constrained channels

Scalable video delivery over MIMO OFDM wireless systems using joint power allocation and antenna selection

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