Relevant bibliographies by topics / Additive White Gaussian Noise (AWGN)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Additive White Gaussian Noise (AWGN)'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Additive White Gaussian Noise (AWGN)"

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Zhou, Yuqian, Jianbo Jiao, Haibin Huang, Jue Wang, and Thomas Huang. "Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 10085–86. http://dx.doi.org/10.1609/aaai.v33i01.330110085.

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Discriminative learning based denoising model trained with Additive White Gaussian Noise (AWGN) performs well on synthesized noise. However, realistic noise can be spatialvariant, signal-dependent and a mixture of complicated noises. In this paper, we explore multiple strategies for applying an AWGN-based denoiser to realistic noise. Specifically, we trained a deep network integrating noise estimating and denoiser with mixed Gaussian (AWGN) and Random Value Impulse Noise (RVIN). To adapt the model to realistic noises, we investigated multi-channel, multi-scale and super-resolution approaches.
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Liu, Haoqiang, Hongbo Zhao, Xiaowen Chen, and Wenquan Feng. "An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments." PLOS ONE 16, no. 5 (2021): e0250930. http://dx.doi.org/10.1371/journal.pone.0250930.

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Modern navigation satellite communication has the characteristic of high transmitting rate. To avoid bit errors in data transmission, low density parity check (LDPC) codes are widely recognized as efficient ways for navigation communication. Conventionally, the LDPC decoding is applied for additive white Gaussian noise (AWGN) channel and degrades severely while facing the impulsive noise. However, navigation communication often suffers from impulsive interference due to the occurrence of high amplitude “spikes”. At this time, the conventional Gaussian noise assumption is inadequate. The impuls
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Kittisuwan, Pichid. "Medical image denoising using simple form of MMSE estimation in Poisson–Gaussian noise model." International Journal of Biomathematics 09, no. 02 (2016): 1650020. http://dx.doi.org/10.1142/s1793524516500200.

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Poisson–Gaussian noise is the basis of image formation for a great number of imaging systems used in variety of applications, including medical and astronomical imaging. In wavelet domain, the application of Bayesian estimation method with generalized Anscombe transform in Poisson–Gaussian noise reduction algorithm has shown remarkable success over the last decade. The generalized Anscombe transform is exerted to convert the Poisson–Gaussian noise into an additive white Gaussian noise (AWGN). So, the resulting data can be denoised with any algorithm designed for the removal of AWGN. Here, we p
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Huang, Chengwei, Guoming Chen, Hua Yu, Yongqiang Bao, and Li Zhao. "Speech Emotion Recognition under White Noise." Archives of Acoustics 38, no. 4 (2013): 457–63. http://dx.doi.org/10.2478/aoa-2013-0054.

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Abstract Speaker‘s emotional states are recognized from speech signal with Additive white Gaussian noise (AWGN). The influence of white noise on a typical emotion recogniztion system is studied. The emotion classifier is implemented with Gaussian mixture model (GMM). A Chinese speech emotion database is used for training and testing, which includes nine emotion classes (e.g. happiness, sadness, anger, surprise, fear, anxiety, hesitation, confidence and neutral state). Two speech enhancement algorithms are introduced for improved emotion classification. In the experiments, the Gaussian mixture
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Baharuddin, Baharuddin, Rudy Fernandez, Hanalde Andre, Rina Angraini, and Fitrilina. "Analisa Kinerja Quadrature Amplitude Modulation (QAM) pada Kanal Additive White Gaussian Noise (AWGN)." JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER 14, no. 1 (2024): 9–16. http://dx.doi.org/10.33369/jamplifier.v14i1.30477.

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Pada kanal komunikasi, sinyal informasi yang dikirimkan akan selalu mengalami gangguan karena adanya derau yang menyebabkan terjadinya kesalahan pendeteksian sinyal sehingga terjadi perubahan bit atau simbol pada sisi penerima. Hal ini menyebabkan konstelasi sinyal di sisi penerima tidak sama dengan konstelasi sinyal di sisi pengirim. Pada penelitian ini diteliti pengaruh derau AWGN pada sinyal yang dikirim. Untuk itu akan dibuat suatu pemodelan, simulasi dan analisis untuk mengamati pengaruh derau AWGN terhadap unjuk kerja sistem modulasi 16 QAM. Unjuk kerja tersebut dapat diketahui dari nila
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Senatorov, L. A., V. V. Khvorenkov, and A. V. Savelyev. "Evaluation of Additive White Gaussian Noise Influence on the Energy Stealthiness of Complex Signals." Vestnik IzhGTU imeni M.T. Kalashnikova 26, no. 3 (2023): 75–81. http://dx.doi.org/10.22213/2413-1172-2023-3-75-81.

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While designing special-purpose radio communication systems, it is important to take into account the work of potential adversaries or intruders who have electronic warfare and electronic countermeasure, whose task is to disrupt radio communications or intercept transmitted messages. Today, a number of methods are known to counteract electronic warfare, the main of them are aimed to avoid destructive influences of radio warfare. In this area, the issue of creating “uncompromising” radio transmitting devices is promising. The term “incompromising” means that a radio transmitting device is capab
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Zhou, Yuqian, Jianbo Jiao, Haibin Huang, et al. "When AWGN-Based Denoiser Meets Real Noises." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 13074–81. http://dx.doi.org/10.1609/aaai.v34i07.7009.

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Discriminative learning based image denoisers have achieved promising performance on synthetic noises such as Additive White Gaussian Noise (AWGN). The synthetic noises adopted in most previous work are pixel-independent, but real noises are mostly spatially/channel-correlated and spatially/channel-variant. This domain gap yields unsatisfied performance on images with real noises if the model is only trained with AWGN. In this paper, we propose a novel approach to boost the performance of a real image denoiser which is trained only with synthetic pixel-independent noise data dominated by AWGN.
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Arora, Sahil, and Nirvair Neeru. "Speech Identification using GFCC, Additive White Gaussian Noise (AWGN) and Wavelet Filter." International Journal of Computer Applications 146, no. 9 (2016): 17–24. http://dx.doi.org/10.5120/ijca2016910854.

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Varuzhan, Harutyun Baghdasaryan. "Clean and Noisy Datasets Generation for DeepSpeech Open-Source Speech-To-Text Engine Based on Google Translate API." Journal of Scientific and Engineering Research 8, no. 2 (2021): 23–25. https://doi.org/10.5281/zenodo.10574882.

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<strong>Abstract</strong> Speech-to-text engines use both clean and noisy datasets to train models for best performance. But for some languages (for example, Armenian language) there is no enough data for training. The purpose of this article is to design a tool that can generate both clean and noisy(additive white Gaussian noise(AWGN) and real-world noise(RWN)) datasets for DeepSpeech speech-to-text engine using Google Translate's text-to-speech API feature that can convert text to normal and slow speech.
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Brychkov, Yu A., and N. V. Savischenko. "Capacity of a communication channel with quadrature phase-shift keying and phase quantization." Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki 166, no. 3 (2024): 306–19. http://dx.doi.org/10.26907/2541-7746.2024.3.306-319.

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The influence of the number of phase quantization levels L on the capacity CM,L of a communication channel with additive white Gaussian noise (AWGN) was studied in a communication system using QPSK (4-PSK).
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Dissertations / Theses on the topic "Additive White Gaussian Noise (AWGN)"

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Shu, Li 1970. "A power interval perspective on additive white Gaussian noise (AWGN) channels." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9118.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (leaves 215-216).<br>We present a new perspective on additive white Gaussian noise (AWGN) channels that separates user and channel attributes. Following this separation, various questions concerning achievability and successive decoding can be reformulated as properties of the set of user attributes, which can be determined independently of the actual channel noise. To obtain these properties directly, we introduce a graphical framework calle
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Argyriou, Andreas. "Probability of symbol error for coherent and non-coherent detection of M-ary frequency-shift keyed (MFSK) signals affected by co-channel interference and additive white Gaussian noise (AWGN) in a fading channel." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA376826.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 2000.<br>Thesis advisor(s): Lebaric, Jovan; Robertson, Clark. Includes bibliographical references (p. 289). Also available online.
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Čermák, Josef. "Modelování rušení pro xDSL." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217281.

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This work is focused on the subject of the interference modelling for xDSL technologies. First, the xDSL technologies are explained. Following is the presentation and description of the different kinds of the xDSL technologies. The next part deals with the basic parameters of metallic cable lines – especially the primary and secondary parameters. Nowadays wider bandwidths are used for the achievement of higher data transmission rates. During a higher frequency signal transmission a more intensive line attenuation appears. To identify the transfer characteristics of the lines while using an xDS
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Novotný, František. "Analýza a modelování přeslechů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220322.

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The thesis concerns the problem of interference modelling for xDSL technologies and Ethernet. The introduction describes the origin of crosstalk, that arise during the operation of the systems and the physical properties of the lines, therefore, the next section describes the properties of the primary and secondary parameters of the homogenous line and their modelling. In order to achieve higher data rates on the metallic line, systems with larger frequency spectrum are applied, resulting in a greater attenuation of the line. This issue and the characteristics determination of the transmission
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Erdogan, Ahmet Yasin. "Analysis of the effects of phase noise and frequency offset in orthogonal frequency division multiplexing (OFDM) systems." Thesis, Monterey California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1712.

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Approved for public release, distribution is unlimited<br>Orthogonal frequency division multiplexing (OFDM) is being successfully used in numerous applications. It was chosen for IEEE 802.11a wireless local area network (WLAN) standard, and it is being considered for the fourthgeneration mobile communication systems. Along with its many attractive features, OFDM has some principal drawbacks. Sensitivity to frequency errors is the most dominant of these drawbacks. In this thesis, the frequency offset and phase noise effects on OFDM based communication systems are investigated under a variety of
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Chen, Brian. "Efficient communication over additive white Gaussian noise and intersymbol interference channels using chaotic sequences." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/40151.

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Huang, Weizheng. "Investigation on Digital Fountain Codes over Erasure Channels and Additive White Gaussian Noise Channels." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1336067205.

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Ni, Li. "Non-equiprobable multi-level coding for the additive white Gaussian noise channel with Tikhonov phase error." Online access for everyone, 2005. http://www.dissertations.wsu.edu/Dissertations/Fall2005/l%5Fni%5F120905.pdf.

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DeRieux, David A. "Investigation of spectral-based techniques for classification of wideband transient signals in additive white Gaussian noise." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA282954.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 1994.<br>Thesis advisor(s): Ralph Hippenstiel, Monique P. Fargues. "March 1994." Includes bibliographical references. Also available online.
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Ng, Jimmy Hon-yuen. "Estimation of error rates and fade distributions on a Rayleigh fading channel with additive white Gaussian noise." Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/26318.

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Several characteristics of the Rayleigh fading channel are examined. A digital Rayleigh fading simulator is used to generate the (fading) signal envelope from which various statistics are derived. Based on the simulation results, a simple model is proposed in order to estimate the block error rate of a block of N data bits transmitted over the Rayleigh fading channel in the presence of additive white Gaussian noise. This model gives an average estimation error of about 4 % over the range of blocksizes N = 63, 127, 255, 511, 1023, 2047 (bits), average signal-to-noise ratios 70 = 5 to 35 (dB) a
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Books on the topic "Additive White Gaussian Noise (AWGN)"

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Probability of Symbol Error for Coherent and Non-Coherent Detection of M-ary Frequency-Shift Keyed (MFSK) Signals Affected by Co-Channel Interference and Additive White Gaussian Noise (AWGN) in a. Storming Media, 2000.

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Book chapters on the topic "Additive White Gaussian Noise (AWGN)"

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Weik, Martin H. "additive white Gaussian noise." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_319.

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Rosnes, Eirik. "On Linear Programming Decoding on a Quantized Additive White Gaussian Noise Channel." In Cryptography and Coding. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10868-6_2.

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Olapetan, Olawale, and Ifiok Otung. "Implementation and Performance Analysis of Trellis Coded Modulation in Additive White Gaussian Noise." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98827-6_15.

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Singh, Bablu Kumar, and Supriya Vyas. "Performance Comparison of Minimum Shift Keying and Gaussian Minimum Shift Keying in Additive White Gaussian Noise Environment." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8820-4_26.

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Turajlić, Emir, and Vedran Karahodzic. "An Adaptive Scheme for X-ray Medical Image Denoising using Artificial Neural Networks and Additive White Gaussian Noise Level Estimation in SVD Domain." In IFMBE Proceedings. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4166-2_7.

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Rashid Ali, Peng Yunfeng, Rooh Ul Amin, and Muhammad Irshad. "Image Denoising Using Wavelet Transform." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2019. https://doi.org/10.3233/978-1-61499-939-3-142.

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Image Denoising method is developed according to the characteristics of energy distribution of noise and wavelet transform. In the first step, through wavelet transform with higher scale, noisy image is decomposed, further in the second step, the square margin of White Gaussian Noise (WGN) or Additive White Gaussian Noise (AWGN) and threshold in high frequency coefficient of wavelet transform with dissimilar scale are shown separately. The coefficients are compared with different values of threshold. At the end, after taking inverse wavelet transform for all coefficient, reconstructed image ha
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"Solution Of The General Harmonic Estirnation Problem (High-Resolution Sinusoid Parameter Estimation)." In Mathematics in Signal Processing V, edited by M. D. Macleod. Oxford University PressOxford, 2002. http://dx.doi.org/10.1093/oso/9780198507345.003.0030.

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Abstract This is a much studied problem, with many important applications. Nevertheless, existing approaches have significant limitations. In many cases, the model order (number of sinusoids) is assumed known, and in most cases Additive White Gaussian Noise (AWGN) is assumed. We present a new method for jointly determining the model order and estimating the si1msoid parameters in white or coloured noise. It is an iterative detection and estimation algorithm. In the mixed spectrum case the detection test requires an estimate of the noise PSD, which is obtained by smoothing the logarithm of the
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Juwiler, Irit, Michael Vinnik, Ron Brown, and Nathan Blaunstein. "Integration of Fiberoptic and Radio Frequency Channels for Hybrid 5G MIMO Network." In 5G and 6G Broadband Communication Networks - Challenges, Trends, and Opportunities [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1002523.

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This work investigates the combination of fiberoptic and wireless radio frequency (RF) channels that enable the transmission of RF signals over an optical medium, which improves the load separation of the entire system and increases its bandwidth. This concept is called a hybrid system. We studied the influence of additive white Gaussian noise (AWGN) and of multiplicative noise over single-input single-output (SISO) and multiple-input multiple-output (MIMO) channels to examine the differences in channel capacity and bandwidth, spectral efficiency and bit error rate (BER). We show that hybrid s
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Yuksel, Melda, and Elza Erkip. "Information Theoretical Limits on Cooperative Communications." In Cooperative Communications for Improved Wireless Network Transmission. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-665-5.ch001.

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This chapter provides an overview of the information theoretic foundations of cooperative communications. Earlier information theoretic achievements, as well as the more recent developments, are discussed. The analysis accounts for full/half-duplex node, and for multiple relays. Various channel models such as discrete memoryless, additive white Gaussian noise (AWGN), and fading channels are considered. Cooperative communication protocols are investigated using capacity, diversity, and diversity-multiplexing tradeoff (DMT) as performance metrics. Overall, this chapter provides a comprehensive v
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De Micco, Luciana, and Hilda Angela Larrondo. "Methodology for FPGA Implementation of a Chaos-Based AWGN Generator." In Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0299-9.ch003.

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Additive White Gaussian Noise (AWGN) generators are a basic tool for the test and measurement of digital systems. One drawback for hardware implementation of the classically used algorithms is that they require the hardware implementation of complex operations (such as sinusoidal and logarithmic functions). In this chapter, a method for the design and hardware implementation of an AWGN generator based on chaotic maps is described. The advantage is that deterministic chaotic systems are described by simple nonlinear equations, and therefore, they are straightforward to implement in hardware. To
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Conference papers on the topic "Additive White Gaussian Noise (AWGN)"

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Pan, Chunpo, Xuefeng Tang, Meng Qiu, et al. "Adaptive Log-Likelihood-Ratio for Optical Channels with Non-Additive-White-Gaussian-Noise." In Optical Fiber Communication Conference. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ofc.2023.th2a.25.

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An adaptive LLR calculation algorithm is proposed for non-additive-white-Gaussian-noise (non-AWGN) optical channels. The noise distribution is continuously up-dated based on previous decisions. The performance is tested experimentally using 16-QAM and soft-DQPSK systems.
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Farforovskiy, Dmitriy. "ANALYSIS OF THE EFFECTIVENESS OF CURRENT NOISE-RESISTANT CODES TO INCREASE THE BANDWIDTH OF COMMUNICATION NETWORKS." In CAD/EDA/SIMULATION IN MODERN ELECTRONICS 2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/conferencearticle_5e028214ad4217.57376820.

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The analysis of existing methods of noise-resistant coding is carried out using MATLAB Simulink in terms of efficiency for working in the communication channel with additive white Gaussian noise (AWGN).
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King, Horace L. "Performance Analysis and Formulation of Turbo codes on Additive White Gaussian Noise (AWGN) and Rayleigh fading channels." In TENCON 2006 - 2006 IEEE Region 10 Conference. IEEE, 2006. http://dx.doi.org/10.1109/tencon.2006.343931.

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Khalid Abdulwahab, Walled, and Ihsan H. Abdulqadder. "Flexible Polar Decoder for Fading Channel." In 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION ENGINEERING AND COMPUTER SCIENCE (CIC-COCOS'24). Cihan University-Erbil, 2024. http://dx.doi.org/10.24086/cocos2024/paper.1319.

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This study provided a flexible successive cancellation List (FL-SCL) decoding for polar codes, where some decoding pathways were pruned using a path metric. Two distinct path metric criteria were used to accomplish the pruning. The best threshold values are determined via a straightforward optimization process based on a design signal-to-noise power ratio (design-SNR). To evaluate FL-SCL performance and complexity with successive cancellation list (SCL) decoder, simulation experiments were run over flat fading channel and Additive White Gaussian Noise (AWGN) channel. The findings showed that,
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C. Dike, Blessing, and Cajetan M. Akujuobi. "A Study of Cooperative and Non-Cooperative Wideband Spectrum Sensing Radio Networks in the Cognitive Radio 5G Era." In 10th International Conference on Computer Science, Engineering and Information Technology. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.141903.

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The advent of 5G technologies has ushered in unprecedented demands for efficient spectrum utilization to accommodate a surge in data traffic and diverse communication services. In this context, accurate and reliable spectrum sensing is crucial. We investigated wideband spectrum sensing strategies by comparing non-cooperative cognitive radio (CR) approaches with cooperative methods across multiple sub-bands. Our research led to the development of a sophisticated cooperative wideband spectrum sensing framework that incorporates a K-out-of-N fusion rule at the fusion center to make optimal decisi
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Robinson, P. E., and Y. Roodt. "Blind deconvolution of Gaussian blurred images containing additive white Gaussian noise." In 2013 IEEE International Conference on Industrial Technology (ICIT 2013). IEEE, 2013. http://dx.doi.org/10.1109/icit.2013.6505824.

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Al-Ghaib, Huda, and Reza Adhami. "On the digital image additive white Gaussian noise estimation." In 2014 International Conference on Industrial Automation, Information and Communications Technology (IAICT). IEEE, 2014. http://dx.doi.org/10.1109/iaict.2014.6922089.

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Li, Yiqian, Ertem Tuncel, and Jie Chen. "Optimal tracking over an additive white Gaussian noise channel." In 2009 American Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/acc.2009.5160637.

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Liu, Wei. "Additive white Gaussian noise level estimation based on block SVD." In 2014 IEEE Workshop on Electronics, Computer and Applications (IWECA). IEEE, 2014. http://dx.doi.org/10.1109/iweca.2014.6845781.

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Kadampot, Ishaque Ashar, Mehrdad Tahmasbi, and Matthieu R. Bloch. "Codes for Covert Communication over Additive White Gaussian Noise Channels." In 2019 IEEE International Symposium on Information Theory (ISIT). IEEE, 2019. http://dx.doi.org/10.1109/isit.2019.8849662.

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