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Polar coding is a new coding scheme that asymptotically achieves the capacity of several communication channels. Polar codes can be decoded with a successive cancellation (SC) decoder. In terms of hardware implementation, archi- tectural performance of SC decoders is limited by the memory complexity. In this paper, two complementary methods are proposed to reduce the memory footprint of current state-of- the-art SC decoders. These methods must also applicable to SC-List decoders.

In the 1960s, Marshall McLuhan published the book entitled, The Extensions of Man focusing primarily on television, an electronic media as being the outward extension of human nervous system, which from contemporary interpretation marks the previous stage of Big Data.

This paper presents the design of an accelerated signal tracking module using a heterogeneous multi-graphics processing unit (GPU) platform for real-time global navigation satellite system (GNSS) software receiver. We also propose a load balancing method for the efficient use of the multi-GPU. The proposed method allocates the number of channels to each GPU, and the GPU generates replica signals and performs correlation with the allocated channels.

This slides relate to the GlobalSIP 2015 paper:
"Mobile GPU Accelerated Digital Predistortion on a Software-defined Mobile Transmitter" by Kaipeng Li, et. al.

The full paper can be found in IEEE Xplore or http://kl33.blogs.rice.edu/research/

In modern communication systems, a sample rate
conversion is necessary since often the system clock is fixed at
some specific rate. Such resampling is critical because there exists
a tight coupling between the data rates and sampling rates. It
is desirable to have a flexible, high performance, and resource
efficient resampler that can accommodate various required data
rates. To achieve these objectives, we present a novel multirate
resampling method based on graphics processing units (GPUs).

In this paper, we propose a video haze removal system that can be used to assist vehicle drivers and autonomous vehicles in hazy weather conditions. Our design objectives are to provide a high speed system with high perceived resolution that can be integrated in vehicle dashboard. We achieved these objectives by targeting TMS320DM6446 platform, where we propose a distribution of the tasks of the algorithm among the heterogeneous processor cores: ARM, DSP, and VICP.