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Journal articles on the topic 'Frame error rate'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Gang, Hui-Seon, Goo-Rak Kwon, and Jae-Young Pyun. "Network-Aware Reference Frame Control for Error-Resilient H.264/AVC Video Streaming Service." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/9076086.

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To provide high-quality video streaming services in a mobile communication network, a large bandwidth and reliable channel conditions are required. However, mobile communication services still encounter limited bandwidth and varying channel conditions. The streaming video system compresses video with motion estimation and compensation using multiple reference frames. The multiple reference frame structure can reduce the compressed bit rate of video; however, it can also cause significant error propagation when the video in the channel is damaged. Even though the streaming video system includes

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2

BANDOH, Y., K. HAYASE, S. TAKAMURA, K. KAMIKURA, and Y. YASHIMA. "Theoretical Modeling of Inter-Frame Prediction Error for High Frame-Rate Video Signal." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A, no. 3 (2008): 730–39. http://dx.doi.org/10.1093/ietfec/e91-a.3.730.

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3

Takeshita, O. Y., O. M. Collins, P. C. Massey, and D. J. Costello. "On the frame-error rate of concatenated turbo codes." IEEE Transactions on Communications 49, no. 4 (2001): 602–8. http://dx.doi.org/10.1109/26.917766.

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4

Tian, Bo, Yi Min Yang, and Shu Ting Cai. "A Novel Rate Control Algorithm for H.264/AVC Considering Frame Activity." Applied Mechanics and Materials 543-547 (March 2014): 3096–99. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3096.

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Rate control has significant impact on the video coding. However, the conventional rate control algorithm in the latest video coding standard H.264 without take into account the human visual system and result in video quality fluctuation. To address this problem, we propose a novel rate control algorithm for H.264/AVC considering frame activity. First, a method is proposed to detect the scene change in frames of video sequences. Second, bit allocation to frame is related to the frame activity which is calculated on the local motion activity and scene change in frames. And in the MB level, the

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5

Shi, Shanwei, and John R. Barry. "An Adaptive Minimum-Frame-Error Rate Detector for Magnetic Recording." IEEE Transactions on Magnetics 57, no. 12 (2021): 1–6. http://dx.doi.org/10.1109/tmag.2021.3121200.

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6

Wang, Gang, Jingxian Wu, and Yahong Rosa Zheng. "An Accurate Frame Error Rate Approximation of Coded Diversity Systems." Wireless Personal Communications 86, no. 3 (2015): 1377–86. http://dx.doi.org/10.1007/s11277-015-2995-9.

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7

Khandetskyi, V. S. "OPTIMIZING THE ACTION OF IEEE 802.11 COMPUTER NETWORKS AT SIGNIFICANT LEVELS OF BIT ERROR RATE." System technologies 1, no. 144 (2023): 36–43. http://dx.doi.org/10.34185/1562-9945-1-144-2023-05.

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For a given level of noise, fragmentation of the frame’s data field increases the probability of transmitting each individual fragment. But this is accompanied by an increase in the rela-tive weight of overhead costs, i.e. the amount of service information that is necessary to sup-port the frame transfer process. We propose to determine the fragmentation optimum under condition of increased noise intensity by the maximum value of the product of fragmented frame successful transmission probability by the relative weight of overhead costs. The arti-cle presents detailed results of calculations o

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8

Diaz-Cadiz, Manuel, Victoria S. McKenna, Jennifer M. Vojtech, and Cara E. Stepp. "Adductory Vocal Fold Kinematic Trajectories During Conventional Versus High-Speed Videoendoscopy." Journal of Speech, Language, and Hearing Research 62, no. 6 (2019): 1685–706. http://dx.doi.org/10.1044/2019_jslhr-s-18-0405.

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ObjectivePrephonatory vocal fold angle trajectories may supply useful information about the laryngeal system but were examined in previous studies using sigmoidal curves fit to data collected at 30 frames per second (fps). Here, high-speed videoendoscopy (HSV) was used to investigate the impacts of video frame rate and sigmoidal fitting strategy on vocal fold adductory patterns for voicing onsets.MethodTwenty-five participants with healthy voices performed /ifi/ sequences under flexible nasendoscopy at 1,000 fps. Glottic angles were extracted during adduction for voicing onset; resulting vocal

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9

Zhang, Yi, Juan Li, and Min Zhang. "Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm." MATEC Web of Conferences 232 (2018): 03032. http://dx.doi.org/10.1051/matecconf/201823203032.

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In order to extract the key frames more effectively, we propose a key frame extraction method for human motion sequences based on Grey Wolf Optimization (GWO) algorithm. The fitness function is defined with the minimum reconstruction error and the optimal compression rate. The social hierarchy of grey wolves and hunting strategy are simulated to search key frames. Experimental results show that the proposed method can not only maintain the consistency of key frames between similar human motion sequences, but also effectively compress and summarize the original motion data. Under the same compr

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10

Bao, Song Jian. "An Adaptive Intra-Frame Refresh Algorithm Based on Rate Distortion Optimization." Applied Mechanics and Materials 346 (August 2013): 123–28. http://dx.doi.org/10.4028/www.scientific.net/amm.346.123.

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The biggest drawback of compressed video code flow is very sensitive to the transmission error. Put forward the motion vector-adaptive intra refresh (MV-AIR) and the rate distortion optimization-adaptive intra refresh (RDO-AIR). The main idea of RDO-AIR is that using the rate-distortion function calculations expense determines whether a macro-block refreshed, it considers the rate distortion estimation for macro-block models selection effect, each frame is dynamically intra-frame refreshed. These two kinds of algorithm by considering the changes of the video itself content characteristics and

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11

Petracca, Matteo, Claudio Salvadori, Stefano Bocchino, and Paolo Pagano. "Error Resilient Video Streaming with BCH Code Protection in Wireless Sensor Networks." Journal of Communications Software and Systems 10, no. 1 (2014): 41. http://dx.doi.org/10.24138/jcomss.v10i1.139.

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Video streaming in Wireless Sensor Networks (WSNs) is a promising and challenging application for enabling high-value services. In such a context, the reduced amount ofavailable bandwidth, as well as the low-computational power available for acquiring and processing video frames, imposes the transmission of low resolution images at a low frame rate. Considering the aforementioned limitations, the amount of information carried by each video frame must be considered of utmost importance and preserved, as much as possible, against network losses that could introduce possible artifacts in the reco

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Gowrishankar S., Ramesh Babu H. S, Prasad G. R., Ishwari V. Ginimav,. "DLLBVS: Design of a High-Efficiency Deep Learning based Low-BER Video Streaming Model for High-Noise Wireless Networks." Journal of Electrical Systems 20, no. 2s (2024): 650–74. http://dx.doi.org/10.52783/jes.1531.

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Design of video streaming models for high-noise networks is a multimodal process that requires efficient channel modelling, noise analysis, error-specific stream control, intelligent data augmentation, etc. This article proposes design of a high-efficiency deep learning based low-BER (Bit Error Rate) Video streaming model for high-noise wireless networks. The proposed model initially uses a Long-Short-Term Memory (LSTM) block for estimation of frame level features, and then uses Orthogonal Frequency Division Multiple Access (OFDMA) based modulation platform for transmission and reception of pr

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Zhou, Saiao, Yuman Nie, Fan Fan, et al. "High-precision velocity measurement method based on high frame rate image processing." Journal of Physics: Conference Series 2284, no. 1 (2022): 012007. http://dx.doi.org/10.1088/1742-6596/2284/1/012007.

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Abstract The traditional drop-weight impact velocity measurement is affected by the measurement distance of the sensor and the measurement environment, and the accuracy is difficult to guarantee. Aiming at this problem, this paper proposes a high-precision velocity measurement method based on high frame rate image. Firstly, a measurement scheme based on high frame rate image is designed, the position information is obtained by processing the image of the marked point, and the target impact velocity is obtained according to the time difference between frames; Then an error model is established,

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Mahdi Hashim2, Kadhim, and Kwakib Saadun Naif1. "Automatic Lip reading for decimal digits using ResNet50 Model." Journal of Education for Pure Science- University of Thi-Qar 12, no. 2 (2023): 308–16. http://dx.doi.org/10.32792/jeps.v12i2.196.

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Lip reading is a method to understand speech through the movement of the lips, as audio speech is notinclusive of all Categories of society, especially the hearing impaired or people in noisy environments.Lip reading is the best and alternative solution to this problem. Our proposed system solves this problemby taking a video of the person speaking with digits. Then the pre-processing process is carried out byViola Jones algorithm, by cutting the video into a sequential frame, then detecting the face, then themouth, deducting the mouth region of interest(ROI), and inserting the mouth frame int

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Huang, Yichen, Hao Lin, and Di Zhang. "Analysis of the baud rate of the UART to affects the data." Highlights in Science, Engineering and Technology 61 (July 30, 2023): 200–205. http://dx.doi.org/10.54097/hset.v61i.10295.

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This article explores the impact of different baud rates on Universal Asynchronous Receiver/Transmitter (UART) asynchronous serial communication. It discusses the frame format and calculation method of baud rate error, as well as the main reasons for error, such as clock error, sampling error, line noise, data bit error, and software delay. To ensure reliable communication, it is essential to test and debug the actual baud rate and adjust it accordingly. The study found that higher expected baud rates resulted in higher baud rate errors, affecting transmission distance, speed, reliability, and

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16

Yin, Huiwen, Sida Li, Zhiping Huang, and Jie Chen. "A Novel Data-Aided Frame Synchronization Method Based on Hough Transform for Optical Communications." Photonics 7, no. 3 (2020): 65. http://dx.doi.org/10.3390/photonics7030065.

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In optical communication systems, frame synchronization is essential for subsequent operations, such as error correction and payload extraction. Various methods, so far, have been proposed in the published literature, but the performance is unsatisfactory under high bit error rate (BER) conditions. We present, in this work, a novel data-aided frame synchronization technique for optical packet transmission systems, in which the transmitter sends a sequence of packets with a specific synchronization word periodically inserted, and the receiver blindly recognizes the synchronization word to attai

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17

BANDOH, Yukihiro, Seishi TAKAMURA, Hirohisa JOZAWA, and Yoshiyuki YASHIMA. "Generalized Theoretical Modeling of Inter-Frame Prediction Error for High Frame-Rate Video Signal Considering Integral Phenomenon." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93-A, no. 8 (2010): 1442–52. http://dx.doi.org/10.1587/transfun.e93.a.1442.

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18

Traill, Declan. "The Problem With the Relativity of Simultaneity." Applied Physics Research 14, no. 1 (2022): 26. http://dx.doi.org/10.5539/apr.v14n1p26.

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Relativity claims that the simultaneity between two (or more) observers, each traveling in different Inertial Reference Frames (IRFs) is such that for two spaceships moving through space at a high-speed relative to one another &ldquo;inside the frame of reference of Ship A, everything is moving normally, but everything over on Ship B appears to be moving slower (and vice versa)&rdquo;. However, as I will explain, this interpretation leads to an inconsistency which cannot be true. I point out the error being made in the interpretation of Minkowski diagrams that leads to this inconsisten

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19

Castillo-Soria, Francisco Ruben, Daniel Pacheco-Bautista, and Miguel Sánchez-Meraz. "Frame, bit and chip error rate evaluation for a DSSS communication system." Ingeniería, investigación y tecnología 9, no. 3 (2008): 271–77. http://dx.doi.org/10.22201/fi.25940732e.2008.09n3.020.

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LIU, HONGMEI, JIWU HUANG, and YUN Q. SHI. "DWT-BASED VIDEO DATA HIDING ROBUST TO MPEG COMPRESSION AND FRAME LOSS." International Journal of Image and Graphics 05, no. 01 (2005): 111–33. http://dx.doi.org/10.1142/s0219467805001689.

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In this paper, we propose a blind video data-hiding algorithm in DWT (discrete wavelet transform) domain. It embeds multiple information bits into uncompressed video sequences. The major features of this algorithm are as follows. (1) Development of a novel embedding strategy in DWT domain. Different from the existing schemes based on DWT that have explicitly excluded the LL subband coefficients from data embedding, we embed data in the LL subband for better invisibility and robustness. The underlying idea comes from our qualitative and quantitative analysis of the DWT coefficients magnitude di

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21

Liu, Fei, Yashar Balazadegan Sarvrood, Yue Liu, and Yang Gao. "Stereo visual odometry with velocity constraint for ground vehicle applications." Journal of Navigation 74, no. 5 (2021): 1026–38. http://dx.doi.org/10.1017/s037346332100028x.

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AbstractThis paper proposes a novel method of error mitigation for stereo visual odometry (VO) applied in land vehicles. A non-holonomic constraint (NHC), which imposes physical constraint to the rightward velocity of a land vehicle, is implemented as an observation in an extended Kalman filter (EKF) to reduce the drift of stereo VO. The EKF state vector includes position errors in an Earth-centred, Earth-fixed (ECEF) frame, velocity errors in the camera frame, angular rate errors and attitude errors. All the related equations are described and presented in detail. In this approach, no additio

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22

Chen, Ming Hui, Nan Ni, Xiao Sheng Song, and You Po Su. "Influence of Load Rate on Arching Action of Reinforced Concrete Frame Beams." Applied Mechanics and Materials 157-158 (February 2012): 805–9. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.805.

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The conclusions can be acquired by experimental study and theoretical analysis.Owing to arching action,limit load of reinforced concrete frame beams can be enhanced largely.With the increase of the load rate,the limit carrying capacity of reinforced concrete frame beam and axis force also raise,but the ductility of the components falls.Theory results are basically consistent with experiment results,error is in allow bound.

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23

Chen, Y., L. Yan, and X. Lin. "AN AUTOMATIC KEY-FRAME SELECTION METHOD FOR VISUAL ODOMETRY BASED ON THE IMPROVED PWC-NET." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 567–73. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-567-2020.

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Abstract. In order to quick response to the rapid changes of mobile platforms in complex situations such as speedy changing direction or camera shake, visual odometry/visual simultaneous localization and mapping (VO/VSLAM) always needs a high frame rate vision sensor. However, the high frame rate of the sensor will affect the real-time performance of the odometry. Therefore, we need to investigate how to make a balance between the frame rate and the pose quality of the sensor. In this paper, we propose an automatic key-frame method based on the improved PWC-Net for mobile platforms, which can

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24

Kang, Koohong. "Performance Anomaly of the IEEE 802.11 DCF in Different Frame Error Rate Conditions." Journal of Information Processing Systems 8, no. 4 (2012): 739–48. http://dx.doi.org/10.3745/jips.2012.8.4.739.

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Chatzigeorgiou, I., I. J. Wassell, and R. Carrasco. "Threshold-based frame error rate analysis of MIMO systems over quasistatic fading channels." Electronics Letters 45, no. 4 (2009): 216. http://dx.doi.org/10.1049/el:20093193.

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26

Raja, A., and V. Thulasi Bai. "Frame Error Rate Performance for Adaptive M-QAM / S-OFDM Based Wireless Systems." i-manager's Journal on Communication Engineering and Systems 3, no. 3 (2014): 1–6. http://dx.doi.org/10.26634/jcs.3.3.3176.

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27

Biswas, Sankalita, Biswajit Ghosh, Aniruddha Chandra, and Sanjay Dhar Roy. "Frame error rate for single-hop and dual-hop transmissions in 802.15.4 LoWPANs." International Journal of Electronics 104, no. 8 (2017): 1413–26. http://dx.doi.org/10.1080/00207217.2017.1312706.

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28

Fan, Wei Wei, Bo Li, You Wen Zhang, and Da Jun Sun. "Research of FH-MFSK Underwater Acoustic Communication Based on Non-Binary LDPC Codes." Applied Mechanics and Materials 519-520 (February 2014): 945–52. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.945.

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Compared with binary-modulation, Multiple-modulation can obtain higher rate of transmission in the condition of same symbol-rate. If using binary channel codes with multiple-modulation, there exists an problem of information-loss of the probability from bit to symbol conversion. Underwater acoustic channel is an multipath, time-variation, high-noise and strong doppler-effect wireless channel, which leads to high error-rate caused by signal distortion. To solve the problems above, we adopt FH-MFSK modulation to overcome the inter-symbol interference by multipath. The PN sequence is used as a fr

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V., Subba Ramaiah, Srinivasa Rao S., and Devaraju V.S.N.Kumar. "Speaker Diarization based on Black-Hole Entropy Fuzzy Clustering using Cepstral Features." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1055–61. https://doi.org/10.35940/ijeat.D7832.049420.

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Speaker diarization is the process of identification of the speaker in an audio sequence. This paper proposed a speaker diarization method using the Black-hole entropy fuzzy clustering and multiple kernel weighted Mel frequency cepstral coefficient (MKMFCC) parameterization. Initially, the MKMFCC descriptor extracted the cepstral features from the input audio signal. These features are used for clustering the speakers as groups for which the BHEFC is used. The feature parameter uses the audio signal containing both the high and low energy frame for speaker indexing that resulted in accurate se

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Coutaud, Ulysse, Martin Heusse, and Bernard Tourancheau. "LoRa Channel Characterization for Flexible and High Reliability Adaptive Data Rate in Multiple Gateways Networks." Computers 10, no. 4 (2021): 44. http://dx.doi.org/10.3390/computers10040044.

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We characterize the LoRa channel in terms of multi-path fading, loss burstiness, and assess the benefits of Forward Error Correction as well as the influence of frame length. We make these observations by synthesizing extensive experimental measurements realized with The Things Network in a medium size city. We then propose to optimize the LoRaWAN Adaptive Data Rate algorithm based on this refined LoRa channel characterization and taking into account the LoRaWAN inherent macro-diversity from multi-gateway reception. Firstly, we propose ADRopt, which adjusts Spreading Factor and frame repetitio

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Masaru, Sawada, Ngoc Nguyen Quang, Mustafa Alhasani Mohammed, Safitri Cutifa, and Sato Takuro. "OFDM synchronization system using wavelet transform for symbol rate detection." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 3 (2020): 1658–70. https://doi.org/10.12928/TELKOMNIKA.v18i3.14834.

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In radio communications, using wavelet signal analysis to recover the symbol rate timing clock of orthogonal frequency-division multiplexing (OFDM) is a new approach that can tolerate signal distortion from intersymbol interference (ISI) and intercarrier interference of encoding digital data on multiple carrier frequencies. Typically, the reception synchronization with wavelet signal analysis in OFDM can improve the performance over the fourier transform-based OFDM. However, a synchronization procedure that is stable against distortion and noise is essential to diminish the symbol synchronizat

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32

Zhang, Chenhao, and Wei Gao. "AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 12 (2025): 13188–96. https://doi.org/10.1609/aaai.v39i12.33439.

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Dynamic point cloud compression (DPCC) is crucial in applications like autonomous driving and AR/VR. Current compression methods face challenges with complexity management and rate control. This paper introduces a novel dynamic coding framework that supports variable bitrate and computational complexities. Our approach includes a slimmable framework with multiple coding routes, allowing for efficient Rate-Distortion-Complexity Optimization (RDCO) within a single model. To address data sparsity in inter-frame prediction, we propose the coarse-to-fine motion estimation and compensation module th

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Chatzoulis, Dimitrios, Costas Chaikalis, Dimitrios Kosmanos, Kostas E. Anagnostou, and George T. Karetsos. "5G V2X Performance Comparison for Different Channel Coding Schemes and Propagation Models." Sensors 23, no. 5 (2023): 2436. http://dx.doi.org/10.3390/s23052436.

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Channel coding is a fundamental procedure in wireless telecommunication systems and has a strong impact on the data transmission quality. This effect becomes more important when the transmission must be characterised by low latency and low bit error rate, as in the case of vehicle-to-everything (V2X) services. Thus, V2X services must use powerful and efficient coding schemes. In this paper, we thoroughly examine the performance of the most important channel coding schemes in V2X services. More specifically, the impact of use of 4th-Generation Long-Term Evolution (4G-LTE) turbo codes, 5th-Gener

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DUONG, DinhTrieu, Min-Cheol HWANG, Byeong-Doo CHOI, Jun-Hyung KIM, and Sung-Jea KO. "Efficient Frame Error Concealment Using Bilateral Motion Estimation for Low Bit-Rate Video Transmission." IEICE Transactions on Communications E92-B, no. 2 (2009): 461–72. http://dx.doi.org/10.1587/transcom.e92.b.461.

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Liu, Xing‐Cheng, Min‐Wei He, and Guang‐Zhao Zhang. "A hybrid ARQ type‐II turbo‐coding arrangement and its frame error rate performance." Kybernetes 33, no. 2 (2004): 310–14. http://dx.doi.org/10.1108/03684920410514265.

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Ni, Yubo, Feng Liu, Yi Wu, and Xiangjun Wang. "Continuous-Time Fast Motion of Explosion Fragments Estimated by Bundle Adjustment and Spline Representation Using HFR Cameras." Applied Sciences 11, no. 6 (2021): 2676. http://dx.doi.org/10.3390/app11062676.

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This paper introduces a continuous-time fast motion estimation framework using high frame-rate cameras. To recover the high-speed motions trajectory, we inherent the bundle adjustment using a different frame-rate strategy. Based on the optimized trajectory, a cubic B-spline representation was proposed to parameter the continuous-time position, velocity and acceleration during this fast motion. We designed a high-speed visual system consisting of the high frame-rate cameras and infrared cameras, which can capture the fast scattered motion of explosion fragments and evaluate our method. The expe

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Shan, Yiming, Xinyu Pang, Huan Wang, et al. "Distance Measurement and Data Analysis for Civil Aviation at 1000 Frames per Second Using Single-Photon Detection Technology." Sensors 25, no. 13 (2025): 3918. https://doi.org/10.3390/s25133918.

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During high-speed maneuvers, aircraft experience rapid distance changes, necessitating high-frame-rate ranging for accurate characterization. However, existing optical ranging technologies often lack simplicity, affordability, and sufficient frame rates. While dual-station triangulation enables high-frame-rate distance calculation via geometry, it suffers from complex and costly deployment. Conventional laser rangefinders are limited by low repetition rates. Single-photon ranging, using high-frequency low-energy pulses and detecting single reflected photons, offers a promising alternative. Thi

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38

Chen, Xiao, and Feifei Lu. "Adaptive Rate Control Algorithm for H.264/AVC Considering Scene Change." Mathematical Problems in Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/373689.

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Scene change in H.264 video sequences has significant impact on the video communication quality. This paper presents a novel adaptive rate control algorithm with little additional calculation for H.264/AVC based on the scene change expression. According to the frame complexity quotiety, we define a scene change factor. It is used to allocate bits for each frame adaptively. Experimental results show that it can handle the scene change effectively. Our algorithm, in comparison to the JVT-G012 algorithm, reduces rate error and improves average peak signal-noise ratio with smaller deviation. It ca

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Hong, Zhu, Qiurong Yan, Zihang Li, Ting Zhan, and Yuhao Wang. "Photon-Counting Underwater Optical Wireless Communication for Reliable Video Transmission Using Joint Source-Channel Coding Based on Distributed Compressive Sensing." Sensors 19, no. 5 (2019): 1042. http://dx.doi.org/10.3390/s19051042.

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To achieve long-distance underwater optical wireless communication, a single photon detector with single photon limit sensitivity is used to detect the optical signal at the receiver. The communication signal is extracted from the discrete single photon pulses output from the detector. Due to fluctuation of photon flux and quantum efficiency of photon detection, long-distance underwater optical wireless communication has the characteristics that the link is easily interrupted, the bit error rate is high, and the burst error is large. To achieve reliable video transmission, a joint source-chann

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Chiman, Kwan, Larkin Jude, Budavari Bence, Shang Eric, and D. Tran Trac. "Perceptually Lossless Compression with Error Concealment for Periscope and Sonar Videos." Signal & Image Processing: An International Journal (SIPIJ) 10, February (2019): 1–14. https://doi.org/10.5281/zenodo.3187693.

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We present a video compression framework that has two key features. First, we aim at achieving perceptually lossless compression for low frame rate videos (6 fps). Four well-known video codecs in the literature have been evaluated and the performance was assessed using four well-known performance metrics. Second, we investigated the impact of error concealment algorithms for handling corrupted pixels due to transmission errors in communication channels. Extensive experiments using actual videos have been performed to demonstrate the proposed framework

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Chopra, Shakti Raj, Akhil Gupta, Sudeep Tanwar, Calin Ovidiu Safirescu, Traian Candin Mihaltan, and Ravi Sharma. "Multi-User Massive MIMO System with Adaptive Antenna Grouping for Beyond 5G Communication Network." Mathematics 10, no. 19 (2022): 3621. http://dx.doi.org/10.3390/math10193621.

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Error-correcting codes with limited errors and higher spectral efficiency are the main concern for wireless communications. In the current situation, research is increasing daily to satisfy the growing demand for users with improved QoS. Adaptive Antenna Grouping (AAG) with a multilevel space–time trellis coding scheme in the Multi-User Massive MIMO system is the better option to provide flexible data transfer speeds, encoding gains, and gain in diversity with improved spectral efficiency and low decoding complexity, including the power optimization by reduced SNR at the same Symbol Error Rate

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Elwekeil, Mohamed, Taotao Wang, and Shengli Zhang. "Deep Learning for Joint Adaptations of Transmission Rate and Payload Length in Vehicular Networks." Sensors 19, no. 5 (2019): 1113. http://dx.doi.org/10.3390/s19051113.

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Recently, vehicular networks have emerged to facilitate intelligent transportation systems (ITS). They enable vehicles to communicate with each other in order to provide various services such as traffic safety, autonomous driving, and entertainments. The vehicle-to-vehicle (V2V) communication channel is doubly selective, where the channel changes within the transmission bandwidth and the frame duration. This necessitates robust algorithms to provide reliable V2V communications. In this paper, we propose a scheme that provides joint adaptive modulation, coding and payload length selection (AMCP

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OHTERU, Shoko, and Keiji KISHINE. "Throughput Estimation Method in Burst ACK Scheme for Optimizing Frame Size and Burst Frame Number Appropriate to SNR-Related Error Rate." IEICE Transactions on Communications E93-B, no. 3 (2010): 590–99. http://dx.doi.org/10.1587/transcom.e93.b.590.

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Chuang, Yao Tung, Cheng Ta Shen, Yi Lin Hsu, and Sheng Wen Shih. "New Drift Reset Method for Pedestrian Tracking with a Low-Cost IMU." Applied Mechanics and Materials 284-287 (January 2013): 2176–80. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2176.

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In this work, we study the pedestrian position tracking problem using a foot-mounted inertial measurement unit (IMU). The IMU consists of a tri-axis rate-gyro, a tri-axis accelerometer and a tri-axis magnetometer. The magnetometer is used for constructing a global reference frame at the initial phase. The pedestrian orientation and position are estimated by integrating signals of the rate-gyro and the accelerometer. Since the integration operation usually introduces unbounded drift errors, a new drift reset method derived from a constant-ground-normal condition is proposed to compensate for th

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Kim, Sangwoo, Donghyuk Kim, and Sukhoon Oh. "Straightforward Magnetic Resonance Temperature Measurements Combined with High Frame Rate and Magnetic Susceptibility Correction." Bioengineering 10, no. 11 (2023): 1299. http://dx.doi.org/10.3390/bioengineering10111299.

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Proton resonance frequency shift (PRFS) is an MRI-based simple temperature mapping method that exhibits higher spatial and temporal resolution than temperature mapping methods based on T1 relaxation time and diffusion. PRFS temperature measurements are validated against fiber-optic thermal sensors (FOSs). However, the use of FOSs may introduce temperature errors, leading to both underestimation and overestimation of PRFS measurements, primarily due to material susceptibility changes caused by the thermal sensors. In this study, we demonstrated susceptibility-corrected PRFS (scPRFS) with a high

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Subramaniam, Jayasri, and Kousik Nalliyanna Goundar Veerappan. "CODING SCHEME IN NETWORKS USING QUASI CYCLIC LOW DENSITY PARITY CHECK CODES GENERATION WITH SVM." ICTACT Journal on Data Science and Machine Learning 5, no. 4 (2024): 703–6. https://doi.org/10.21917/ijdsml.2024.0144.

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Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) codes are highly effective error correction codes due to their structured sparsity, providing low complexity and superior error performance. However, improving their performance with modern classification techniques remains a challenge. This study integrates Support Vector Machine (SVM) generation with QC-LDPC codes to optimize error correction efficiency. The proposed approach combines the robust coding properties of QC-LDPC codes with SVM’s decision boundary characteristics, enhancing decoding accuracy. Simulation results show that for a code l

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Chouksey, Sagar, Mayur Ghadle, Abdul Rasheed, and Shaikh Khursheed Mohd Murtaza. "PERFORMANCE AND ANALYSIS OF REED-SOLOMAN CODES FOR EFFICIENT COMMUNICATION SYSTE." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 1 (2013): 1249–54. http://dx.doi.org/10.24297/ijct.v10i1.3327.

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In wireless communication systems reducing bit/frame/symbol error rate is critical. If bit error rates are high then in wireless communication system our aim is to minimize error by employing various coding methods on the data transferred. Various channel coding for error detection and correction helps the communication system designers to reduce the effects of a noisy data transmission channel. In this paper our focus is to study and analysis of the performance of Reed-Solomon code that is used to encode the data stream in digital communication. The performances were evaluated by applying to

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Brieva, Jorge, Hiram Ponce, and Ernesto Moya-Albor. "A Contactless Respiratory Rate Estimation Method Using a Hermite Magnification Technique and Convolutional Neural Networks." Applied Sciences 10, no. 2 (2020): 607. http://dx.doi.org/10.3390/app10020607.

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The monitoring of respiratory rate is a relevant factor in medical applications and day-to-day activities. Contact sensors have been used mostly as a direct solution and they have shown their effectiveness, but with some disadvantages for example in vulnerable skins such as burns patients. For this reason, contactless monitoring systems are gaining increasing attention for respiratory detection. In this paper, we present a new non-contact strategy to estimate respiratory rate based on Eulerian motion video magnification technique using Hermite transform and a system based on a Convolutional Ne

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Wicaksono, Agung, and Eka Setia Nugraha. "Desain Modem Sistem Komunikasi Digital HF Berbasis Software Defined Radio." Edu Komputika Journal 8, no. 1 (2021): 21–30. http://dx.doi.org/10.15294/edukomputika.v8i1.47297.

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Sistem komunikasi High Frequency (HF) bekerja menggunakan gelombang radio pada frekuensi 3-30 MHz yang merambat dalam bentuk skywave dengan bantuan lapisan ionosfer. Sistem komunikasi HF saat ini masih terbatas pada pengiriman suara, diharapkan dapat mengirimkan pesan berupa teks dengan menerapkan sistem komunikasi digital. Penelitian ini melaporkan desain modem sistem komunikasi digital HF menggunakan perangkat Software Defined Radio (SDR) untuk implementasi yang mudah. Modulasi dan Demodulasi memiliki peranan penting dalam sistem komunikasi digital. Evaluasi sistem dilakukan dengan eksperime

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Zhu, Libin, and Lihui Liu. "Effect Measurement for Human Motion Rehabilitation Training Using Improved Deep Reinforcement Learning and IoT Networks." Security and Communication Networks 2022 (June 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/3548675.

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Measuring the effect of human motion rehabilitation training is important to help persons develop motion rehabilitation training plans. The current human motion rehabilitation training effect measurement algorithm has the problems of too large gap between the smoothness of the motion speed curve and the reality, high key frame extraction error rate, low measurement accuracy, long measurement time, and low satisfaction. Therefore, this paper proposes a human motion rehabilitation training effect measurement algorithm using improved deep reinforcement learning and Internet of Things (IoT) networ

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