37 research outputs found

    On the Decoding of Polar Codes on Permuted Factor Graphs

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    Polar codes are a channel coding scheme for the next generation of wireless communications standard (5G). The belief propagation (BP) decoder allows for parallel decoding of polar codes, making it suitable for high throughput applications. However, the error-correction performance of polar codes under BP decoding is far from the requirements of 5G. It has been shown that the error-correction performance of BP can be improved if the decoding is performed on multiple permuted factor graphs of polar codes. However, a different BP decoding scheduling is required for each factor graph permutation which results in the design of a different decoder for each permutation. Moreover, the selection of the different factor graph permutations is at random, which prevents the decoder to achieve a desirable error-correction performance with a small number of permutations. In this paper, we first show that the permutations on the factor graph can be mapped into suitable permutations on the codeword positions. As a result, we can make use of a single decoder for all the permutations. In addition, we introduce a method to construct a set of predetermined permutations which can provide the correct codeword if the decoding fails on the original permutation. We show that for the 5G polar code of length 10241024, the error-correction performance of the proposed decoder is more than 0.250.25 dB better than that of the BP decoder with the same number of random permutations at the frame error rate of 10โˆ’410^{-4}

    Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT

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    In this paper, we introduce a mobile application called CarSafe, in which data from the acceleration sensor integrated on smartphones is exploited to come up with an efficient classification algorithm. Two statuses, "Driving" or "Not driving," are monitored in the real-time manner. It enables automatic actions to help the driver safer. Also, from these data, our software can detect the crash situation. The software will then automatically send messages with the user's location to their emergency departments for timely assistance. The application will also issue the same alert if it detects a driver of a vehicle driving too long. The algorithm's quality is assessed through an average accuracy of 96.5%, which is better than the previous work (i.e., 93%)

    A Hardware-Oriented Concurrent Test Zone Search Algorithm for High-Efficiency Video Coding

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2017. 2. ์ดํ˜์žฌ.High-Efficiency Video Coding (HEVC) [1-5] is the latest video coding standard, in which the compression performance is double that of its predecessor, the H.264/AVC standard while the video quality remains unchanged. In HEVC, the Test Zone (TZ) search algorithm is widely used for integer motion estimation because it effectively searches the good-quality motion vector with a relatively small amount of computation. However, the complex computation structure of the TZ search algorithm makes it difficult to implement it in hardware. This work proposes a new integer motion estimation algorithm which is designed for hardware execution by modifying the conventional TZ search to allow parallel motion estimations of all prediction unit (PU) partitions. The algorithm consists of the three phases of zonal, raster and refinement searches. At the beginning of each phase, the algorithm obtains the search points required by the original TZ search for all PU partitions in a coding unit (CU). Then, all redundant search points are removed prior to the estimation of the motion costs and the best search points are then selected for all PUs. Compared to the conventional TZ search algorithm, experimental results show that the proposed algorithm significantly decreases the Bjรธntegaard-Delta bitrate (BD-BR) by 0.84%, and it also reduces the computational complexity by 54.54%.Chapter 1 Introduction Chapter 2 The Conventional TZ Search Algorithm And Related Works 8 Chapter 3 The Hardware-Oriented Concurrent TZ Search Algorithm 13 Chapter 4 Complexity Reduction Schemes Of The Propsed Algorithm 29 Chapter 5 Experimental Results 35 Chapter 6 Conclusion 46 Bibliography 48 Abstract in Korean 52Maste
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