Family of Nyquist-I Pulses to Enhance Orthogonal Frequency Division Multiplexing System Performance

Kamal, Shaharyar; Azurdia-Meza, César A.; Lee, Kyesan

doi:10.1080/02564602.2015.1068137

Cited by 20 publications

(5 citation statements)

References 29 publications

(61 reference statements)

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“…Althloothi et al [26] extracted two sets of 3D spatiotemporal features via a Kinect sensor for human activity recognition, where the shape features were from the surface points using spherical harmonics coefficients, and the motion features were from the end points of the distal limb segments. Besides, similar research work in the area can be found in references [27][28][29].…”

Section: Introductionmentioning

confidence: 85%

Feature Encodings and Poolings for Action and Event Recognition: A Comprehensive Survey

Liu

Zhang

et al. 2017

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Action and event recognition in multimedia collections is relevant to progress in cross-disciplinary research areas including computer vision, computational optimization, statistical learning, and nonlinear dynamics. Over the past two decades, action and event recognition has evolved from earlier intervening strategies under controlled environments to recent automatic solutions under dynamic environments, resulting in an imperative requirement to effectively organize spatiotemporal deep features. Consequently, resorting to feature encodings and poolings for action and event recognition in complex multimedia collections is an inevitable trend. The purpose of this paper is to offer a comprehensive survey on the most popular feature encoding and pooling approaches in action and event recognition in recent years by summarizing systematically both underlying theoretical principles and original experimental conclusions of those approaches based on an approach-based taxonomy, so as to provide impetus for future relevant studies.

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Section: Introductionmentioning

confidence: 85%

Feature Encodings and Poolings for Action and Event Recognition: A Comprehensive Survey

Liu

Zhang

et al. 2017

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“…As previously explained, a coding matrix has been described that satisfies the orthogonality condition in (52) and that is based on fast WH transforms, so the additional complexity becomes very low. The main reason for spreading symbols over several time slots, as discussed in Section III, is to enable MIMO transmissions in FBMC with approximately the same MIMO complexity as in OFDM.…”

Section: ) Walsh-hadamard Spreading In Timementioning

confidence: 99%

“…The efficiency of IPLCP was analysed in multiplexing schemes based on OFDM in [50], [51]. Additionally, the sinc parametric linear combination pulse (SPLCP) was proposed in [52] and the PMSP was proposed in [53] which attempts to reduce the amplitude of the sidelobes and leads to much better BER performance than ISP. Many pulse shaping filters, such as the exponential linear pulse, were proposed in [54], [55] to decrease the ISI impact in the OFDM scheme.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Analysis of FBMC/OQAM Systems Based on Pulse Shaping Filters

2020

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Cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) is the most widespread multicarrier modulation scheme. However, the use of a rectangular filter in CP-OFDM causes poor outof-band (OoB) radiation. Moreover, the CP causes spectral efficiency loss. To overcome these limitations, a filter bank multicarrier (FBMC) was proposed which uses prototype pulse shaping filters that can be adapted to fulfil the system requirements. The choice of the filter is crucial for FBMC/offset quadrature amplitude modulation (OQAM) due to its significant impact on the achieved performance. In this paper, new prototype pulse shaping filters in FBMC/OQAM systems are proposed, aiming to improve the system performance. A number of prototype pulse shaping filters, such as raised cosine pulse (RC), root raised cosine pulse (RRC), better than raised cosine pulse (BTRC), modified Bartlett-Hanning (MBH), improved sinc power pulse (ISP), phase modified sinc pulse (PMSP), parametric linear pulse (PLP), linear combination pulse (LCP), PHYDYAS and Hermite, are considered. The performance of each pulse shaping filter in FBMC/OQAM is evaluated and compared other in terms of the power spectral density (PSD), spectral efficiency, signal-to-interference ratio (SIR), time offset (TO), carrier frequency offset (CFO) and bit error rate (BER) performance over various channels. In addition, as multiple input multiple output (MIMO) is one of the main challenges associated with FBMC, we propose the new approach that use the frequency/time block spreading based on a Walsh-Hadamard (WH) code in MIMO FBMC/OQAM and investigate the combination of the our proposed prototype pulse shaping filters with MIMO systems. The proposed filters are shown to be suitable candidates for FBMC/OQAM systems.

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“…Most of the recognition and segmentation work has involved hybrid methods, such as object recognition, human tracking, activity recognition, and human gait [28][29][30]. Meanwhile, [30] used depth image for face recognition, [26] adopted a similar technique but applied to time attendance systems, and [31] proposed high multiplexing system performance to support face recognition over Wi-Fi. Action recognition, proposed by [32][33][34][35], is more complicated and can be solved using an RGB-D camera with intrinsic features.…”

Section: Introductionmentioning

confidence: 99%

Development of a Chinese Chess Robotic System for the Elderly Using Convolutional Neural Networks

et al. 2020

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According to the data from Alzheimer’s Disease International (ADI) in 2018, it is estimated that 10 million new dementia patients will be added worldwide, and the global dementia population is estimated to be 50 million. Due to a decline in the birth rate and the development and great progress of medical technology, the proportion of elderly people has risen annually in Taiwan. In fact, Taiwan has become one of the fastest-growing aged countries in the world. Consequently, problems related to aging societies will emerge. Dementia is one of most prevailing aging-related diseases, with a great influence on daily life and a great economic burden. Dementia is not a single disease, but a combination of symptoms. There is currently no medicine that can cure dementia. Finding preventive measures for dementia has become a public concern. Older people should actively increase brain-protective factors and reduce risk factors in their lives to reduce the risk of dementia and even prevent the occurrence of dementia. Studies have shown that engaging in mental or creative activities that stimulate brain function has a relative risk reduction of nearly 50%. Elderly people should develop the habit of life-long learning to strengthen effective neural bonds between brain cells and preserve brain cognitive functions. Playing chess is one of the suggested activities. This paper aimed to develop a Chinese robotic chess system for the elderly. It mainly uses a camera to capture the contour of the Chinese chessman, recognizes the character and location of the chessman, and then transmits this information to the robotic arm, which will grab and place the chessman in the appropriate position on the chessboard. The camera image is transmitted to MATLAB for image recognition. The character of the chessman is recognized by convolutional neural networks (CNNs). Forward and inverse kinematics are used to manipulate the robotic arm. Even if the chessmen are arbitrarily placed, the experiment showed that their coordinates can be found through the camera as long as they are located within the working scope of the camera and the robotic arm. For black chessmen, no matter how many degrees they are rotated, they can be recognized correctly, while the red ones can be recognized 100% of the time within 90° of rotation and 98.7% with more than a 90° rotation.

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Family of Nyquist-I Pulses to Enhance Orthogonal Frequency Division Multiplexing System Performance

Cited by 20 publications

References 29 publications

Feature Encodings and Poolings for Action and Event Recognition: A Comprehensive Survey

Feature Encodings and Poolings for Action and Event Recognition: A Comprehensive Survey

Evaluation and Analysis of FBMC/OQAM Systems Based on Pulse Shaping Filters

Development of a Chinese Chess Robotic System for the Elderly Using Convolutional Neural Networks

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