Context: energy consumption represents an important issue with limited and embedded devices. Such devices, e.g. smartphones, process many images, both to render the UI and for application specific purposes. Goal: we a...
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ISBN:
(纸本)9781467370493
Context: energy consumption represents an important issue with limited and embedded devices. Such devices, e.g. smartphones, process many images, both to render the UI and for application specific purposes. Goal: we aim to evaluate the energy consumption of different image encoding/decoding algorithms. Method: we run a series of experiments on a ARM based platform, and we collected the energy consumed in performing typical image encoding and decoding tasks. Result: we found that there is a significant difference among codecs in terms of energy consumption. Most of the energy consumption relates to the computational efficiency of the algorithm (i.e. the time performance) though the type of processing and the algorithm may affect the average power usage up to 37%, thus indirectly affecting the energy consumption. Conclusion: JPEG compression is significantly more energy efficient than PNG both for encoding and decoding. Further studies should focus on the additional features that affect energy consumption beyond computational complexity.
The paper explores the background and development of Turbo code, and analyzes the basic principle of coding and decoding in Turbo code. Based on CCSDS standard, the implementation and simulation of Tu
ISBN:
(纸本)9781467389808
The paper explores the background and development of Turbo code, and analyzes the basic principle of coding and decoding in Turbo code. Based on CCSDS standard, the implementation and simulation of Tu
Interference alignment and cancelation (IAC) is a new approach for decoding concurrent transmitter-receiver pairs in MIMO networks. Recent studies on IAC system are focus on the throughput. However, the decoding algor...
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Interference alignment and cancelation (IAC) is a new approach for decoding concurrent transmitter-receiver pairs in MIMO networks. Recent studies on IAC system are focus on the throughput. However, the decoding algorithm and BER performance of IAC system remain to be solved. In this paper, we not only provide a decoding algorithm but also evaluate the bit error rate (BER) performance of it by simulation. The good BER results verify that the proposed decoding algorithm of IAC system is surely feasible.
Gabidulin codes are Maximum Rank Distance (MRD) codes. They have been recently generalized to cyclic Galois extension fields. The unique decoding problem is equivalent to the linear reconstruction problem. The aim of ...
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ISBN:
(纸本)9781509018062
Gabidulin codes are Maximum Rank Distance (MRD) codes. They have been recently generalized to cyclic Galois extension fields. The unique decoding problem is equivalent to the linear reconstruction problem. The aim of this article is the study of an algorithm to solve this reconstruction problem. We prove that the output of our algorithm is a solution of the reconstruction problem. Then we give some variants. We also establish that (one of the variant of) the algorithm is quadratic.
Linear maximum rank distance (MRD) codes in vector representation for all parameters are known for many years [3], [4]. There exist fast decoding algorithms to correct rank errors and rank erasures for these codes [3]...
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ISBN:
(纸本)9781538645482
Linear maximum rank distance (MRD) codes in vector representation for all parameters are known for many years [3], [4]. There exist fast decoding algorithms to correct rank errors and rank erasures for these codes [3], [5], [6], [7]. Recently, Sheekey [8] and other researches [9], [10], [11], [12] proposed new families of the vector MRD codes. No decoding algorithms were still described. In this paper, generator and parity-check matrices are constructed for a few new codes. Our contribution is a new construction of the vector MRD codes based on modification of codes from [3]. Efficient decoding algorithms are described.
Low-density parity check (LDPC) codes are the capacity approaching codes having better decoding performance closer to Shannon's limit. The performance of the LDPC codes depends on the block length, code rate, stru...
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ISBN:
(纸本)9788132226567;9788132226543
Low-density parity check (LDPC) codes are the capacity approaching codes having better decoding performance closer to Shannon's limit. The performance of the LDPC codes depends on the block length, code rate, structure of parity check matrix (H-matrix), and on the decoding process. Various code construction methods are structured including Quasi-cyclic-irregular parity check matrix to improve the performance of the LDPC codes. Cellular Automata are a computational method that realizes the complex computational blocks into simple, regular, and modular structures. In this paper, the cellular automata-based LDPC parity check matrix with hierarchical diagonal parity check matrix structure has been incorporated in the decoder design. Error performance improvement of 0.0417 dB is obtained with HDPCM-based LDPC decoder using cellular automata. Performance analysis on increased code length validates the proposed LDPC decoder with the improved decoding performance.
Although myoelectric prosthesis has been researched for almost 60 years, a high quality prosthetic arm with dexterous hand manipulation and stable control system is always hard to find and amputee acceptance remains l...
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ISBN:
(纸本)9781509043644
Although myoelectric prosthesis has been researched for almost 60 years, a high quality prosthetic arm with dexterous hand manipulation and stable control system is always hard to find and amputee acceptance remains low. One of the major challenges is the lack of a portable and powerful embedded system to implement the electromyography (EMG) pattern recognition (PR) algorithms, other challenges include design of dexterous prosthetic hands, the placement of multichannel electrodes, trade-off between low power consumption and small size and so on. This paper presents our latest progress on EMG PR controlled prosthetic hand. In the system, an armband with 8-channel electrodes is used to acquire the EMG signals. A powerful embedded system which deals with the EMG signals decoding algorithms is introduced. On board EMG training and real-time surface myoelectric signals decoding is implemented in the embedded system to control a 6 degree of freedoms (DOFs) prosthetic hand. The promising results of this work show its potential of speeding up the translation of PR prosthetic arm into daily application.
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