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  1. 741

    Nonlinear Demodulation and Channel Coding in EBPSK Scheme by Xianqing Chen, Lenan Wu

    Published 2012-01-01
    “…The extended binary phase shift keying (EBPSK) is an efficient modulation technique, and a special impacting filter (SIF) is used in its demodulator to improve the bit error rate (BER) performance. However, the conventional threshold decision cannot achieve the optimum performance, and the SIF brings more difficulty in obtaining the posterior probability for LDPC decoding. …”
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  2. 742

    Alternative Approach for Combination of Fingers in Underwater Acoustic Communication by Ji-Hong Son, Eun-Hye Jeon, Ki-Man Kim, Dong-Won Lee, Tae-Doo Park

    Published 2016-04-01
    “…In this paper, we propose a more reliable rake receiver based on BER (bit error rate) of training sequence duration. We conducted simulations and lake trials to evaluate the performance of the proposed method. …”
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  3. 743

    Flood Diversion Algorithm for Anticollision in RFID System by Hua Huo, Jun Qiang Liu, Yong Jie Wang

    Published 2015-04-01
    “…Simulation experiment results show that FDAC is superior to the dynamic frame slotted (DFS) Aloha algorithm, the binary-retreat tree algorithm (BRT) and the dynamic binary-search tree (DBST) algorithm, in the performances of data bits transmission, identification time delay, and energy consumption by the reader.…”
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  4. 744

    MM-LoRa-Mod: A non-coherent LoRa modulation scheme for underwater acoustic communications by YU Xiao, XU Weikai, SUN Haixin, LIU Qi

    Published 2024-09-01
    “…Through the evaluation of MM-LoRa-Mod’s bit error rate performance in multipath channels, Watermark underwater acoustic channels, and shallow water acoustic channels, excellent anti-multipath fading and anti-Doppler frequency shift capabilities were demonstrated, indicating the high reliability of MM-LoRa-Mod in underwater acoustic communication scenarios.…”
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  5. 745

    Research on Performance of Fiber-Based Multiple Apertures Receiver System with PPM Modulation by Kangning LI, Xu FENG, Jianwen GAO, Jing Ma

    Published 2021-06-01
    “…The performance of fi ber-based FSO with multiple apertures receiver system was studied for pulse position modulation (PPM) .Expressions of PPM modulated signal-to-noise ratio (SNR) and bit-error rate (BER) for fi ber-based FSO multiple apertures receiver system were presented based on the probability density function of Gamma-Gamma intencity distribution and non–central chisquare fi ber coupling effi ciency distribution under atmospheric infl uence.Selection combining (SC), equal gain combining (EGC) and maximum ratio combining (MRC) were considered to be three signal combining methods for multiple apertures receiver system.The BER performance of 4PPM modulted SC, EGC and MRC fi ber-based multiple apertures receiver system and single aperture receiver system with the same total aperture area were comparative analyzed by Monte Carlo simulation.The BER performance of fi ber-based multiple apertures receiver systems in 4PPM and 8PPM modulation modes were directly compared for diff erent combining methods.…”
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  6. 746

    Critical spin chains and loop models with $PSU(n)$ symmetry by Paul Roux, Jesper Lykke Jacobsen, Sylvain Ribault, Hubert Saleur

    Published 2025-01-01
    “…Its spectrum is similar to those of the $O(n)$ and Potts CFTs, but a bit simpler. We conjecture that the $O(n)$ CFT is a $\mathbb{Z}_2$ orbifold of the $PSU(n)$ CFT, where $\mathbb{Z}_2$ acts as complex conjugation.…”
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  7. 747

    Tingkat Pengetahuan dan Perilaku Pencegahan Coronavirus Disease 2019 (COVID-19) Pada Masyarakat Sulawesi Utara by Lenny Gannika, Erika Emnina Sembiring

    Published 2020-10-01
    “…This research was delivered by filling the online questionnaire that can be access through https://bit.ly/3gOVe5h. The data analyzed by using pearson chi square test. …”
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  8. 748

    Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption by Chao Li, Mengna Shi, Yanqi Zhou, Erfu Wang

    Published 2021-01-01
    “…Finally, the signal is extracted using the Levi flight strategy based on kurtosis and the quantum particle swarm optimization optimized by the greedy algorithm (KLG-QPSO). The bit error rate and similarity coefficient of the voice signal are extracted by testing the source voice signal SA1, SA2, and SI943 under different SNR, and the similarity coefficient, uncertainty, and disorder of the observed signal and the source voice signal SA1, SA2, and SI943 verify the effectiveness of the proposed speech signal extraction method and the security of quantum chaos used in speech signal encryption.…”
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  9. 749

    A combined method of formation of a cryptographic key with secret modification of the results of synchronization of artificial neural networks by M. L. Radziukevich

    Published 2021-10-01
    “…The proposed combined formation consists of two stages: the formation of partially coinciding binary sequences using synchronized artificial neural networks and the elimination of mismatched bits by open comparison of the parities of bit pairs. …”
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  10. 750

    Efficient Recovery of Linear Predicted Coefficients Based on Adaptive Steepest Descent Algorithm in Signal Compression for End-to-End Communications by Abel Kamagara, Abbas Kagudde, Baris Atakan

    Published 2025-01-01
    “…Our results show substantial recovery efficiency with noise variance between 0 and y × 10E − 3, where y lies between 0 and 10 using the modeled performance metrics of bit error rate, symbol error rate, and mean square error. …”
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  11. 751

    Performance on ICI Self-Cancellation in FFT-OFDM and DCT-OFDM System by Shilpi Gupta, Upena Dalal, Vishnu Narayan Mishra

    Published 2015-01-01
    “…The paper investigates new ICI self-cancellation technique to mitigate the effect of ICI in FFT-OFDM and compares it to DCT based OFDM system in terms of bit error rate (BER) and carrier to interference ratio (CIR). …”
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  12. 752

    SCMA High-Dimensional Codebook Design Based on VBR-GAM by Xu DENG, Ke CHU, Lidong ZHU

    Published 2023-03-01
    “…At the physical layer, sparse code multiple access (SCMA) technology is used to solve the problem of massive user access.In the current research on SCMA, in addition to the research on SCMA multi-user detection technology, more attention will be paid to the design of SCMA system codebooks.SCMA codebook with good performance can not only improve its anti noise performance in the process of multi-user detection, but also reduce the detection complexity.The traditional codebook design scheme is mainly researched on low-dimensional codebooks, and most of the designed codebook schemes are based on QAM, TCM, and Lattice, while few people have set foot in and studied high-dimensional codebooks.A new codebook design - Golden Angle Modulation (GAM) was mainly focused on, and on this basis, proposed a Variable Bit Rate (VBR) GAM codebook design method.The simulation results showed that the VBR-GAM codebook could fl exibly met the needs of diff erent services.With the increased of the modulation order, the VBR-GAM codebook had better performance than the traditional GAM codebook.…”
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  13. 753

    New Channel Estimation Algorithm for Non-Sample-Spaced Channels in Fast Time-Varying OFDM System by 刘顺兰, 汪佳丽

    Published 2015-09-01
    “…The simulation results show that the bit error rate and channel mean square error of the proposed algorithm are both effectively improved.…”
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  14. 754

    Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

    Published 2023-06-01
    “…In order to achieve better test performance, researches on the randomness test strategies based on deep learning were conducted, including the batch average strategy proposed by EUROCRYPT 2021 and the selection strategy for data unit size.By introducing the randomness statistical test model based on deep learning methods, the statistical distribution and test power expression of two test strategies were theoretically derived, and it was pointed out that: (i) the batch average strategy could amplify the prediction accuracy of the model, but it was prone to an increase in the probability of the second type of error in statistics, instead reducing the statistical test power; (ii) the smaller data units of the deep model generally obtained the more powerful statistical tests.Based on the above understanding, a new bit-level deep learning model was proposed for randomness statistical tests, which gained the advantage of prediction with 80 times fewer parameters and 50% samples, compared with the previous work on linear congruent generator (LCG) algorithm, and achieved significant prediction advantages with 10~20 times fewer parameters by extending the model to apply to 5~7 rounds of Speck, compared with the model proposed by Gohr.…”
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  15. 755

    Study on adaptive modulation in D2D communications over Nakagami-m fading channel by Xiaoping ZENG, Haiwei MAO, Fan YANG, Xin JIAN, Shiqi LI, Xin JIANG, Wei FANG

    Published 2018-09-01
    “…A novel adaptive modulation based on nondata-aided error vector magnitude (NDA-EVM) was proposed to solve the problem of lower spectral efficiency in device to device (D2D) communication over Nakagami-m fading channel.The NDA-EVM was used to evaluate the channel quality.The relationship between NDA-EVM and symbol error ratio (SER) was derived according to the maximum likelihood method.Thereafter,the adaptive modulation mechanism of MQAM with the SER constraint was designed.Considering the joint effect of finite-length queuing and fading channel,the system packet loss rate and spectral efficiency was analyzed.Theoretical analysis and simulation experiments show that NDA-EVM based adaptive modulation accurately gives the modulation threshold and evaluates the relationship between QoS and packet loss rate,the proposed algorithm improves system spectral efficiency while maintaining low algorithm complexity,spectral efficiency improves by 0.752 bit·(s·Hz)<sup>-1</sup>,compared with traditional algorithm.…”
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  16. 756

    De-noising algorithms for the raised cosine pulse signal using the minimum-energy frame in the discrete signal space by Ying-hai XIE, Wei YANG, Ting-ting FAN

    Published 2012-03-01
    “…The de-noising algorithms were proposed for the raised cosine pulse signal using minimum-energy(wavelet) frame in the discrete signal space.For the given two minimum-energy frames,the decomposition coefficients of sampled sequence appeared significant statistical characteristics difference between the raised cosine pulse signal and additive Gaussian noise under the frames’sub-sequences.Based on this,two threshold de-noising algorithms were provided to makes full use of the merit that the frame was fit for the de-noising work,they removed partial noise component while keeping the component of original signal and got effic nt de-noising result.The simulation results show that,when the modulating method is BPSK and its raised cosine pulse signal is polluted by the additive Gaussian noise,then if add a pre-processing link to denoise the receiving waveform using the algorithms,the receiver can greatly increase the signal-to-noise ratio of receiving signal and have about 3.1dB and 2.7dB performance gain of bit error ratio,respectively.…”
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  17. 757

    Step-by-step classification detection algorithm of SPPM based on K-means clustering by Huiqin WANG, Wenbin HOU, Qingbin PENG, Minghua CAO, Rui HUANG, Ling LIU

    Published 2022-01-01
    “…In view of the high computational complexity in spatial pulse position modulation systems when using maximum likelihood detection algorithm, a step-by-step classification detection algorithm based on K-means clustering was proposed according to the characteristics of signal matrix with spatial pulse position modulation.The signal vector detection algorithm was utilized to detect the index of light source in the training samples.The on K-means clustering algorithm was utilized to acquire the mapping rule between centroid of samples and modulated symbol by offline training.Subsequently, online detection of modulated symbols was achieved based on the mapping rule, and then the index of light sources was detected by exhaustive search.In addition, Monte Carlo method was used to investigate the effects of key parameters such as the number of clusters and initialization times on the system bit error rate (BER) performance.Simulation results demonstrate that the proposed algorithm can achieve an approximate BER performance as the maximum likelihood algorithm on the basis of greatly reducing the computational complexity.Compared with the linear decoding algorithms, the proposed algorithm is also applicable to scenarios where the number of detectors is less than the number of light sources.…”
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  18. 758

    How Influencer Doctors Use Social Media? A Content Analysis on Marketing Communications, Patient Privacy and Ethics by Güldane Zengin

    Published 2023-04-01
    “…This led to so some doctors gaining thousands and millions of followers and becoming “influencer doctors”. Every bit of information that a medical doctor share is important for the followers. …”
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  19. 759

    Noise-augmented chaotic Ising machines for combinatorial optimization and sampling by Kyle Lee, Shuvro Chowdhury, Kerem Y. Camsari

    Published 2025-01-01
    “…We refine the previously proposed coupled chaotic bits (c-bits), which operate deterministically, by introducing noise. …”
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  20. 760

    Design and Performance Analysis of MISO-SRMR-DCSK System over Rayleigh Fading Channels by Gang Zhang, Yi man Hao, Tian qi Zhang

    Published 2018-01-01
    “…To further improve the bit-error-rate (BER) performance over Rayleigh fading channels, the multiple-input single-output SRMR-DCSK (MISO-SRMR-DCSK) is also studied. …”
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