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

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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8

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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9

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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11

Li, Chang, Yu Liu, Juan Cheng, et al. "Hyperspectral Unmixing with Bandwise Generalized Bilinear Model." Remote Sensing 10, no. 10 (2018): 1600. http://dx.doi.org/10.3390/rs10101600.

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Generalized bilinear model (GBM) has received extensive attention in the field of hyperspectral nonlinear unmixing. Traditional GBM unmixing methods are usually assumed to be degraded only by additive white Gaussian noise (AWGN), and the intensity of AWGN in each band of hyperspectral image (HSI) is assumed to be the same. However, the real HSIs are usually degraded by mixture of various kinds of noise, which include Gaussian noise, impulse noise, dead pixels or lines, stripes, and so on. Besides, the intensity of AWGN is usually different for each band of HSI. To address the above mentioned i

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Thakur, Mohit, and Gerhard Kramer. "Quasi-Concavity for Gaussian Multicast Relay Channels." Entropy 21, no. 2 (2019): 109. http://dx.doi.org/10.3390/e21020109.

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Standard upper and lower bounds on the capacity of relay channels are cut-set (CS), decode-forward (DF), and quantize-forward (QF) rates. For real additive white Gaussian noise (AWGN) multicast relay channels with one source node and one relay node, these bounds are shown to be quasi-concave in the receiver signal-to-noise ratios and the squared source-relay correlation coefficient. Furthermore, the CS rates are shown to be quasi-concave in the relay position for a fixed correlation coefficient, and the DF rates are shown to be quasi-concave in the relay position. The latter property character

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13

Zhang, Xiaoyue. "Performance analysis of GFSK modulation over AWGN channel." Applied and Computational Engineering 37, no. 1 (2024): 52–60. http://dx.doi.org/10.54254/2755-2721/37/20230469.

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This paper analyses the performance of Gaussian Frequency Shift Keying (GFSK) modulation in Additive White Gaussian Noise (AWGN) channels. Using MATLAB 2022b for simulations, the study explores GFSK modulation principles, the role of Gaussian low-pass filters, the characteristics reflected by Power Spectral Density (PSD), and the influence of Bit Time-Bandwidth Product (BT) on Bit Error Rate (BER). It has been observed that the Gaussian filter restricts sidelobe amplitudes and enhances spectral efficiency. Through varying BT values, it is observed that higher BT values correlate with lower BER

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Kittisuwan, Pichid. "Image enhancement via MMSE estimation of Gaussian scale mixture with Maxwell density in AWGN." Journal of Innovative Optical Health Sciences 09, no. 02 (2016): 1650021. http://dx.doi.org/10.1142/s1793545816500218.

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In optical techniques, noise signal is a classical problem in medical image processing. Recently, there has been considerable interest in using the wavelet transform with Bayesian estimation as a powerful tool for recovering image from noisy data. In wavelet domain, if Bayesian estimator is used for denoising problem, the solution requires a prior knowledge about the distribution of wavelet coefficients. Indeed, wavelet coefficients might be better modeled by super Gaussian density. The super Gaussian density can be generated by Gaussian scale mixture (GSM). So, we present new minimum mean squ

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Rojas, Alejandro J. "Stabilizability of nonminimum phase unstable plants with arbitrary multiplicity over AWGN channels." Sba: Controle & Automação Sociedade Brasileira de Automatica 23, no. 4 (2012): 404–14. http://dx.doi.org/10.1590/s0103-17592012000400002.

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In the present paper we obtain the infimal signal-to-noise ratio (SNR) required for the stabilizability of a linear output feedback loop over an additive white Gaussian noise (AWGN) channel in closed-form. The focus on AWGN channels allow us to then define the minimal channel capacity required for stabilizability. Finally, the infimal SNR for stabilizability also allow us to identify in closed-form the related stabilizing Hermitian positive semidefinite solution to the continuous-time algebraic Riccati equation of LQ control with vanishing state weight and repeated eigenvalues.

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Ni'amah, Khoirun, Muhammad Panji Kusuma Praja, and Yuninda Dwianti Marimbun. "Comparative Analysis of 16-QAM and 64-QAM Modulation in Additive White Gaussian Noise and Rayleigh Fading Channels." CESS (Journal of Computer Engineering, System and Science) 7, no. 1 (2021): 90. http://dx.doi.org/10.24114/cess.v7i1.26729.

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This reseach simulates and analyzes paramaters bit error rate (BER) of 16-QAM and 64-QAM modulation on Additive White Gaussian Noise and Rayleigh Fading channels. This research aims to determine 5G modulation with the level of data quality after the transmission process is carried out. The modulation simulation results obtained will be compared with the theoretical bit error rate (BER). The simulation results obtained from the two channel scenarios used are 16-QAM modulation reaching BER 10-4, AWGN channel only requires 15 dB Eb/N0 and for Rayleigh Fading channel it requires 38 dB Eb/N0. The B

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17

Chen, Chao-Yang, Weihua Gui, Zhi-Hong Guan, Shaowu Zhou, and Cailun Huang. "Optimal Tracking Performance of MIMO Discrete-Time Systems with Network Parameters." Discrete Dynamics in Nature and Society 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/6826130.

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The optimal regulation properties of multi-input and multioutput (MIMO) discrete-time networked control systems (NCSs), over additive white Gaussian noise (AWGN) fading channels, based on state space representation, are investigated. The average performance index is introduced. Moreover, the regulation performance is measured by the control energy and the error energy of the system, and fundamental limitations are obtained. Two kinds of network parameters, fading and the additive white Gaussian noise, are considered. The best attainable regulation performance limitations can be obtained by the

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Hu, Rong, Haonan Zhang, and Huan Yang. "Feedback Approach for the Relay Channel with Noisy Feedback and Its Security Analysis." Entropy 26, no. 8 (2024): 651. http://dx.doi.org/10.3390/e26080651.

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Relay channels capture the essence of several important communication scenarios such as sensor network and satellite communication. In this paper, first, we propose an efficient coding scheme for an additive white Gaussian noise (AWGN) relay channel in the presence of AWGN feedback, which generalizes the conventional scheme for the AWGN relay channel with noiseless feedback by introducing a lattice-based strategy to eliminate the impact of the feedback channel noise on the performance of the original scheme. Next, we further extend the proposed scheme to the multi-input single-output (MISO) fa

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Brychkov, Yu A., and N. V. Savischenko. "Multivariate Rayleigh, Rice, and \ Nakagami distributions and their applications in communication theory." Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki 166, no. 2 (2024): 127–46. http://dx.doi.org/10.26907/2541-7746.2024.2.127-146.

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A method was developed to calculate the symbol and bit error probabilities for coherent diversity reception of multi-position signal structures in a communication channel with additive white Gaussian noise (AWGN) and general fading described by the multivariate Rayleigh and Nakagami distributions, as well as the bivariate Rice distribution.

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Enayet Ullah, Shaikh, Md Golam Rashed, and Most Farjana Sharmin. "Encrypted message transmission in a QO-STBC encoded MISO wireless Communication system under implementation of low complexity ML decoding algorithm." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 2 (2012): 53–58. http://dx.doi.org/10.24297/ijct.v2i1.2617.

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In this paper, we made a comprehensive BER simulation study of a quasi- orthogonal space time block encoded (QO-STBC) multiple-input single output(MISO) system. The communication system under investigation has incorporated four digital modulations (QPSK, QAM, 16PSK and 16QAM) over an Additative White Gaussian Noise (AWGN) and Raleigh fading channels for three transmit and one receive antennas. In its FEC channel coding section, three schemes such as Cyclic, Reed-Solomon and Â½-rated convolutionally encoding have been used. Under implementation of merely low complexity ML decoding based channel

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Wang, Yifei, Huili Fan, Xuebo Zhang, et al. "A Viterbi Decoder under Class A Modeled Noise in Shallow Water." Wireless Communications and Mobile Computing 2022 (June 23, 2022): 1–10. http://dx.doi.org/10.1155/2022/1956938.

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A traditional Viterbi decoder is primarily optimized for additive white Gaussian noise (AWGN). With the AWGN channel, it offers good decoding performance. However, the underwater acoustic communication (UAC) channel is extremely complicated. In addition to white noise, there are a variety of artificial and natural impulse noise that occur suddenly. The traditional Viterbi decoder cannot obtain the optimum performance under this case. In order to solve this problem, this paper introduces a novel Viterbi decoder with the impulsive noise, which is considered to be subjected to Middleton Class A d

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Sehba, Yousuf, and Arushi Baradwaj Er. "Image Filtering Based on GMSK." International Journal of Trend in Scientific Research and Development 2, no. 6 (2018): 33–35. https://doi.org/10.31142/ijtsrd18403.

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Image Denoising is an important pre processing task which is used before further processing of image. The purpose of denoising is to remove the noise while retaining the edges and other detailed features. This noise gets introduced during the process of acquisition, transmission and reception and storage and retrieval of the data. Due to this there is degradation in visual quality of image. The noises which are of major considerations are Additive White Gaussian Noise AWGN and Impulsive Noise. Sehba Yousuf | Er. Arushi Baradwaj "Image Filtering Based on GMSK" Published in Internation

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Yuan, Quan, Zhenyun Peng, Zhencheng Chen, Yanke Guo, Bin Yang, and Xiangyan Zeng. "Medical Image Denoising Algorithm Based on Sparse Nonlocal Regularized Weighted Coding and Low Rank Constraint." Scientific Programming 2021 (June 7, 2021): 1–6. http://dx.doi.org/10.1155/2021/7008406.

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Medical image information may be polluted by noise in the process of generation and transmission, which will seriously hinder the follow-up image processing and medical diagnosis. In medical images, there is a typical mixed noise composed of additive white Gaussian noise (AWGN) and impulse noise. In the conventional denoising methods, impulse noise is first removed, followed by the elimination of white Gaussian noise (WGN). However, it is difficult to separate the two kinds of noises completely in practical application. The existing denoising algorithm of weight coding based on sparse nonlocal

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Al Bassam, Nizar, and Oday Jerew. "Design and Implementation of a Chaotic Scheme in Additive White Gaussian Noise Channel." Journal of Computer Networks and Communications 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5976282.

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A new chaotic scheme named Flipped Chaotic On-Off Keying (FCOOK) is proposed for binary transmission. In FCOOK, the low correlation value between the stationary signal and its mirrored version is utilized. Transmitted signal for binary 1 is a chaotic segment added to its time flipped (mirrored) version within one bit duration, while in binary 0, no transmission takes place within the same bit duration. The proposed scheme is compared with the standard chaotic systems: Differential Chaos Shift Keying (DCSK) and Correlation Delay Shift Keying (CDSK). The Bit Error Rate (BER) of FCOOK is studied

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Li, Yongsong, Zhengzhou Li, Kai Wei, Weiqi Xiong, Jiangpeng Yu, and Bo Qi. "Noise Estimation for Image Sensor Based on Local Entropy and Median Absolute Deviation." Sensors 19, no. 2 (2019): 339. http://dx.doi.org/10.3390/s19020339.

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Noise estimation for image sensor is a key technique in many image pre-processing applications such as blind de-noising. The existing noise estimation methods for additive white Gaussian noise (AWGN) and Poisson-Gaussian noise (PGN) may underestimate or overestimate the noise level in the situation of a heavy textured scene image. To cope with this problem, a novel homogenous block-based noise estimation method is proposed to calculate these noises in this paper. Initially, the noisy image is transformed into the map of local gray statistic entropy (LGSE), and the weakly textured image blocks

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Zhang, Hong, and Wei Ping Ma. "Research on Overlapped Time Division Multiplexing in the Amplify-and-Forward Cooperative Mode." Applied Mechanics and Materials 713-715 (January 2015): 1103–6. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1103.

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In order to improve spectrum efficiency of cooperative communication system, Overlapped Time Division Multiplexing (OVTDM) is applied to Amplify-and-Forward (AF) cooperative communication system. The simulation results under Additive White Gaussian Noise (AWGN) channel show that the performance of new system is superior to that of corresponding AF cooperative communication system.

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Wu, Yan Jun, Xue Lu Yao, and Jiang Xia. "Analysis on Ranging and Velocity Measurement Performance of DS/FH Hybrid Spread Spectrum Signal." Advanced Materials Research 989-994 (July 2014): 4050–53. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4050.

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The measurement performance with the interference is presented with the new DS/FH hybrid spread spectrum signal system. The DS/FH system model is established. The change of the SNR ratio is obtained by analyzing the characteristics of three kinds of interference signal such as partial-band noise jamming (PBNJ), wide-band noise jamming (WBNJ) and additive white Gaussian noise (AWGN). Then the ranging and velocity measurement performance is got through the simulation.

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Liu, Qiang. "Rate-compatible LDPC convolutional codes over non-gaussian noise channel." MATEC Web of Conferences 309 (2020): 01010. http://dx.doi.org/10.1051/matecconf/202030901010.

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This paper is aimed to study the characteristics of the underwater acoustic channel with non-Gaussian noise channel. And Gaussian mixture model (GMM) is utilized to fit the background noise over the non-Gaussian noise channel. Furthermore, coding techniques which use a sequence of rate-compatible low-density parity-check (RC-LDPC) convolutional codes with separate rates are constructed based on graph extension method. The performance study of RC-LDPC convolutional codes over non-Gaussian noise channel and the additive white Gaussian noise (AWGN) channel is performed. Study implementation of si

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Salih, Musab Elkheir, Xu Ming Zhang, and Ming Yue Ding. "An Improvement of Non-Local Means Denoising Method in the Presence of Large Noise." Applied Mechanics and Materials 263-266 (December 2012): 223–26. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.223.

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The performance of singular value decomposition (SVD) based nonlocal mean (NLM) denoising method degrades when the noise is high. This paper describes an approach of an improvement of NLM denoising when the noise is large. Instead of SVD, we combine the kernel principal component analysis (KPCA) with NLM. It is demonstrated in terms of peak signal to noise ratio (PSNR) in decibels (dB) that the NLM denoising method is improved using various test images corrupted by large additive white Gaussian noise (AWGN)

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Kirmizitas, Hikmet, and Nurettin Besli. "Image and Texture Independent Deep Learning Noise Estimation Using Multiple Frames." Elektronika ir Elektrotechnika 28, no. 6 (2022): 42–47. http://dx.doi.org/10.5755/j02.eie.30586.

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In this study, a novel multiple frame based image and texture independent Convolutional Neural Network (CNN) noise estimator is introduced. Noise estimation is a crucial step for denoising algorithms, especially for ones that are called “non-blind”. The estimator works for additive Gaussian noise for varying noise levels. The noise levels studied in this work have a standard deviation equal to 5 to 25 increasing 5 by 5. Since there is no database for noisy multiple images to train and validate the network, two frames of synthetic noisy images with a variety of noise levels are created by addin

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Ibrahim, A. H. "Accuracy of Bit Error Probability for W-CDMA System Using Code Tree." Engineering, Technology & Applied Science Research 8, no. 2 (2018): 2834–38. http://dx.doi.org/10.48084/etasr.1991.

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W-CDMA is radio access utilized for 3G cell frameworks. A code tree allocation scheme is one of the most explored channelization techniques, used to improve system performance and capacity through adjustable data rates. This work investigates the accuracy of bit error probability for W-CDMA system using code tree orthogonal variable spreading factor (OVSF) codes, compared to pseudo-noise (PN) codes under various noise conditions, such as additive white Gaussian Noise (AWGN) and Random Noise (RN). Results are carried out theoretically and by computer simulation. The simulation includes the scen

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Hassan, Ibrahim Anwar. "Accuracy of Bit Error Probability for W-CDMA System Using Code Tree." Engineering, Technology & Applied Science Research 8, no. 2 (2018): 2834–38. https://doi.org/10.5281/zenodo.1257843.

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W-CDMA is radio access utilized for 3G cell frameworks. A code tree allocation scheme is one of the most explored channelization techniques, used to improve system performance and capacity through adjustable data rates. This work investigates the accuracy of bit error probability for WCDMA system using code tree orthogonal variable spreading factor (OVSF) codes, compared to pseudo-noise (PN) codes under various noise conditions, such as additive white Gaussian Noise (AWGN) and Random Noise (RN). Results are carried out theoretically and by computer simulation. The simulation includes the scena

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Khmou, Youssef, Said Safi, and Miloud Frikel. "Comparative Study between Several Direction of Arrival Estimation Methods." Journal of Telecommunications and Information Technology, no. 1 (March 30, 2014): 41–48. http://dx.doi.org/10.26636/jtit.2014.1.1004.

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In this paper a comparative study, restricted to one-dimensional stationary case, between several Direction of Arrival (DOA) estimation algorithms of narrowband signals is presented. The informative signals are corrupted by an Additive White Gaussian Noise (AWGN), to show the performance of each method by applying directly the algorithms without pre-processing techniques such as forward-backward averaging or spatial smoothing.

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Kittisuwan, Pichid. "Textural Region Denoising: Application in Agriculture." International Journal of Image and Graphics 18, no. 04 (2018): 1850024. http://dx.doi.org/10.1142/s0219467818500249.

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Geo-science and remote sensing technologies play enormous roles in agriculture nowadays, especially in analysis of data from aerial images such as satellite images and drone images. Most agricultural images contain more textural regions than non-textural regions. Therefore, data management in terms of textural regions is very important. Indeed, additive white Gaussian noise (AWGN) is the fundamental problem in digital image analysis. In wavelet transform, Bayesian estimation is useful in several noise reduction methods. The Bayesian technique requires a prior modeling of noise-free wavelet coe

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Tian, Tian, Kunde Yang, Fei-Yun Wu, and Ying Zhang. "Channel Estimation for Underwater Acoustic Communications in Impulsive Noise Environments: A Sparse, Robust, and Efficient Alternating Direction Method of Multipliers-Based Approach." Remote Sensing 16, no. 8 (2024): 1380. http://dx.doi.org/10.3390/rs16081380.

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Channel estimation in Underwater Acoustic Communication (UAC) faces significant challenges due to the non-Gaussian, impulsive noise in ocean environments and the inherent high dimensionality of the estimation task. This paper introduces a robust channel estimation algorithm by solving an l1−l1 optimization problem via the Alternating Direction Method of Multipliers (ADMM), effectively exploiting channel sparsity and addressing impulsive noise outliers. A non-monotone backtracking line search strategy is also developed to improve the convergence behavior. The proposed algorithm is low in comple

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Ahmed, Anas. "Efficient Filter for EEG Signal Using Non Local Mean Approach." Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), no. 3 (October 8, 2021): 304–19. http://dx.doi.org/10.55562/jrucs.v41i3.189.

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Non Local Mean (NLM) filter has attracted great attention within the images and signal processing field especially in the last ten years. The main contribution of this paper to the field of biomedical signals processing is introducing the straightforward application of the fast NLM filter to EEG signal contaminated with "Additive White Gaussian Noise" (AWGN). The performance of this filter is analysed by evaluating its optimal parameters. All the tests are conducted using actual EEG signal captured from human brain. The performance of this filter is determined using "Output Signal to Noise Rat

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Seybold, Tamara, Marion Knopp, Christian Keimel, and Walter Stechele. "Beyond Standard Noise Models: Evaluating Denoising Algorithms with Respect to Realistic Camera Noise." International Journal of Semantic Computing 08, no. 02 (2014): 145–67. http://dx.doi.org/10.1142/s1793351x14400029.

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The development and tuning of denoising algorithms is usually based on readily processed test images that are artificially degraded with additive white Gaussian noise (AWGN). While AWGN allows us to easily generate test data in a repeatable manner, it does not reflect the noise characteristics in a real digital camera. Realistic camera noise is signal-dependent and spatially correlated due to the demosaicking step required to obtain full-color images. Hence, the noise characteristic is fundamentally different from AWGN. Using such unrealistic data to test, optimize and compare denoising algori

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Kittisuwan, P. "Textural Image Denoising Using Gumbel Random Vectors in Gaussian Noise." International Journal of Image and Graphics 17, no. 01 (2017): 1750003. http://dx.doi.org/10.1142/s0219467817500036.

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Gaussian noise is an important problem in computer vision. The novel methods that become popular in recent years for Gaussian noise reduction are Bayesian techniques in wavelet domain. In wavelet domain, the Bayesian techniques require a prior distribution of wavelet coefficients. In general case, the wavelet coefficients might be better modeled by non-Gaussian density such as Laplacian, two-sided gamma, and Pearson type VII densities. However, statistical analysis of textural image is Gaussian model. So, we require flexible model between non-Gaussian and Gaussian models. Indeed, Gumbel densit

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Molchanov, Pavel, and Alexandr Totsky. "Application of Triple Correlation and Bispectrum for Interference Immunity Improvement in Telecommunications Systems." International Journal of Applied Mathematics and Computer Science 18, no. 3 (2008): 361–67. http://dx.doi.org/10.2478/v10006-008-0032-9.

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Application of Triple Correlation and Bispectrum for Interference Immunity Improvement in Telecommunications SystemsThis paper presents a new noise immunity encoding/decoding technique by using the features of triple correlation and bispectrum widely employed in digital signal processing systems operating in noise environments. The triple correlation-and bispectrum-based encoding/decoding algorithm is tested for a digital radio telecommunications binary frequency shift keying system. The errorless decoding probability was analyzed by means of computer simulation for the transmission and recept

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El Ouargui, Ismail, Said Safi, and Miloud Frikel. "Minimum Array Elements for Resolution of Several Direction of Arrival Estimation Methods in Various Noise-Level Environments." Journal of Telecommunications and Information Technology 2 (June 29, 2018): 87–94. http://dx.doi.org/10.26636/jtit.2018.119417.

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The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capability to resolve two closely spaced signals. In this paper, authors present and discuss the minimum number of array elements needed for the resolution of nearby sources in several DOA estimation methods. In the real world, the informative signals are corrupted by Additive White Gaussian Noise (AWGN). Thus, a higher signal-to-noise ratio (SNR) oﬀers a better resolution. Therefore, we show the performance of each method by applying the algorithms in diﬀerent noise level environments.

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Kittisuwan, P., and C. Chinrungrueng. "Differential Form of Bivariate MMSE Estimator Based on Gaussian Noise." Journal of Circuits, Systems and Computers 26, no. 01 (2016): 1750008. http://dx.doi.org/10.1142/s0218126617500086.

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In fact, the noise signal is an important problem in signal, circuits and systems. The minimum mean square error (MMSE) estimation technique is useful in several additive white Gaussian noise (AWGN) reduction methods. Original form of MMSE estimator is the integral form. Unfortunately, integral form of MMSE estimator cannot be obtained in simple form for any interesting peaked, heavy-tailed densities (also known as super-Gaussian densities). In this work, we proposed a differential form of bivariate MMSE estimator. The development depends on bivariate Taylor series. The proposed estimator requ

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Malleswari, Pinjala N., Ch Hima Bindu, and K. Satya Prasad. "An Improved Denoising of Electrocardiogram Signals Based on Wavelet Thresholding." Journal of Biomimetics, Biomaterials and Biomedical Engineering 51 (June 14, 2021): 117–29. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.51.117.

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Electrocardiogram (ECG) is the most important signal in the biomedical field for the diagnosis of Cardiac Arrhythmia (CA). ECG signal often interrupted with various noises due to non-stationary nature which leads to poor diagnosis. Denoising process helps the physicians for accurate decision making in treatment. In many papers various noise elimination techniques are tried to enhance the signal quality. In this paper a novel hybrid denoising technique using EMD-DWT for the removal of various noises such as Additive White Gaussian Noise (AWGN), Baseline Wander (BW) noise, Power Line Interferenc

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Farooq, Muhammad Umar, Alexandre Graell i Amat, and Michael Lentmaier. "Threshold Computation for Spatially Coupled Turbo-Like Codes on the AWGN Channel." Entropy 23, no. 2 (2021): 240. http://dx.doi.org/10.3390/e23020240.

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In this paper, we perform a belief propagation (BP) decoding threshold analysis of spatially coupled (SC) turbo-like codes (TCs) (SC-TCs) on the additive white Gaussian noise (AWGN) channel. We review Monte-Carlo density evolution (MC-DE) and efficient prediction methods, which determine the BP thresholds of SC-TCs over the AWGN channel. We demonstrate that instead of performing time-consuming MC-DE computations, the BP threshold of SC-TCs over the AWGN channel can be predicted very efficiently from their binary erasure channel (BEC) thresholds. From threshold results, we conjecture that the s

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Chen, Zhenxing, Jiaheng Liu, Shuang Li, and Seog Geun Kang. "New 3D 16-Ary Signal Constellations and Their Symbol Error Probabilities in AWGN and Rayleigh Fading Channels." Wireless Communications and Mobile Computing 2018 (August 13, 2018): 1–6. http://dx.doi.org/10.1155/2018/7178631.

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Two three-dimensional (3D) 16-ary signal constellations having extended lattice structures are presented in this paper. The theoretical symbol error probabilities (SEPs) of the new constellations in additive white Gaussian noise (AWGN) and Rayleigh fading channel are derived. Computer simulation confirms that the closed-form expressions for average SEPs of the constellations in the AWGN channel are very accurate. The theoretical SEP upper bounds in the Rayleigh fading channel are very tight. Since the presented constellations have larger minimum Euclidean distance (MED) than the conventional o

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Kittisuwan, Pichid. "Speckle Noise Reduction of Medical Imaging via Logistic Density in Redundant Wavelet Domain." International Journal on Artificial Intelligence Tools 27, no. 02 (2018): 1850006. http://dx.doi.org/10.1142/s0218213018500069.

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In the digital world, artificial intelligence tools and machine learning algorithms are widely applied in analysis of medical images for identifying diseases and make diagnoses; for example, to make recognition and classification. Speckle noises affect all medical imaging systems. Therefore, reduction in corrupting speckle noises is very important, since it deteriorates the quality of the medical images and makes tasks such as recognition and classification difficult. Most existing denoising algorithms have been developed for the additive white Gaussian noise (AWGN). However, AWGN is not a spe

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Chisab, Raad Farhood. "An active technique for power saving in WSN under additive white gaussian noise channel." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 386–96. https://doi.org/10.11591/ijece.v9i1.pp386-396.

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The WSN works with feature of self-power supply by solar cell or by the battery or together at the same time. Therefore, the power dissipation is the big problem in wireless sensor network (WSN) especially when it is works for long time. The efficient method for reducing the power consumption within working is needed. The process of reducing waste power is one of the top priorities of scientists and designers of wireless sensor networks. The aim of this paper is to find the dominant method to reduce the power consumption in the wireless sensor network in order to stay works for long time and m

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Liu, Mengmeng, Jianhua Zhang, and Ping Zhang. "Outage Probability of Dual-Hop Multiple Antenna Relay Systems with Interference at the Relay and Destination." International Journal of Antennas and Propagation 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/370684.

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This paper analyzes the outage performance of a dual-hop relaying system in which the relay is equipped with multiple antennas, while the source and destination have a single antenna. New exact closed-form expressions for the outage probability of both the amplify-and-forward (AF) and the decode-and-forward (DF) relaying systems are derived, assuming that the relay and destination are impaired by cochannel interferers and additive white Gaussian noise (AWGN). Numerical results are presented to verify the theoretical analysis.

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Nguyen, Tri Minh, Tu Thanh Nguyen, and Phuong Huu Nguyen. "Spectrum sensing in cognitive radio wireless networks for orthogonal freqnency division multiplexing in additive white Gaussian noise channel." Science and Technology Development Journal - Natural Sciences 1, T4 (2017): 180–86. http://dx.doi.org/10.32508/stdjns.v1it4.495.

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Cognitive radio (CR) systems are one of the most interesting topics in recent years. They would enable more efficient use of the spectrum. The main problem of CR is how to dectect exactly the spectrum usage of primary users. There are many ways to do this, such as energy detector (ED), Axell’s detector, the sliding window detector, etc. Among them, cyclostationarity (CS) based dection methods attracted much attention because of their better results in low-SNR regimes. This paper will propose a method based on the autocorrelation property of orthogonal frequency division multiplexing (OFDM) sig

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Chisab, Raad Farhood. "An active technique for power saving in WSN under additive white gaussian noise channel." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 386. http://dx.doi.org/10.11591/ijece.v9i1.pp386-396.

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The work with feature of self-power supply by solar cell or by the battery or together at the same time. Therefore, the power dissipation is the big problem in wireless sensor network (WSN) especially when it is works for long time. The efficient method for reducing the power consumption within working is needed. The process of reducing waste power is one of the top priorities of scientists and designers of wireless sensor networks. The aim of this paper is to find the dominant method to reduce the power consumption in the wireless sensor network in order to stay works for long time and mainta

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T.D., Ebinowen1 Y. K. Abdulrazak2 &. B.O Tijani3. "OPTIMIZATION OF MIMO SYSTEM USING SIC-MMSE IN ADDITIVE WHITE GAUSSIAN NOISE RAYLEIGH FADING CHANNELS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 9 (2018): 146–53. https://doi.org/10.5281/zenodo.1411110.

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Multiple-Input Multiple-Output(MIMO) technology is one of the most promising wireless technologies that can efficiently boost the data transmission rate, improve on system coverage and enhance the link liability. The performance of MIMO system can be improved by using multiple antennas at transmitter and receiver side to provide spatial diversity. The use of multiple antennas at both transmitter and receiver side can considerably increase the channel throughput which makes it irresistible for high data rate wireless applications. In this paper, the effects of the number of transmit and receive

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