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

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Zemanate Zuñiga, Juan Camilo, Julián Andrés Muñoz Hidalgo, and Victor Manuel Quintero Flórez. "ANÁLISIS DEL DESEMPEÑO DE UN SISTEMA DE COMUNICACIONES CON MODULACIÓN 16/64 QAM BASADO EN HARDWARE RECONFIGURABLE." Revista de Investigaciones Universidad del Quindío 25, no. 1 (2014): 99–112. http://dx.doi.org/10.33975/riuq.vol25n1.159.

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En el presente artículo se analiza el desempeño de un sistema de comunicaciones banda base con Modulación de Amplitud en Cuadratura (QAM, Quadrature Amplitude Modulation), implementado sobre un Arreglo de Compuertas Programables de Campo (FPGA, Field Programmable Gate Arrays), a partir de la Tasa de Error de Bit (BER, Bit Error Rate) y del comportamiento del hardware reconfigurable.El sistema de comunicaciones banda base consideró un canal de Ruido Blanco Gaussiano Aditivo (AWGN, Additive White Gaussian Noise) y las modulaciones 16 QAM y 64 QAM. Se diseñó a través de la herramienta System Gene

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2

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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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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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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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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6

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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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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8

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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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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10

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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11

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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12

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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13

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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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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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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16

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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17

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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18

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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19

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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20

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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21

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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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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23

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, 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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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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26

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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Ghareeb, Ibrahim, та Amani Atiani. "Bit Error Rate Analysis of Mobile Ad Hoc Networks over η − µ Fading Channels". مجلة جامعة فلسطين التقنية خضوري للأبحاث 2, № 2 (2021): 25–34. http://dx.doi.org/10.53671/ptukrj.v2i2.31.

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In this paper the performance analysis of Mobile ad hoc networks (MANETs) is conducted for a differential QPSK (DQPSK) signals with post-detection equal gain combining (EGC) receiver operating over additive white Gaussian noise (AWGN) as well as for slow frequency nonselective η − µ fading channels, in which the diversity branches can have unequal signal-to-noise ratios (SNRs) as well as different severity parameters. The average bit error probability (ABEP) is evaluated using MGF-based approach. The average BER per multi-hop route of MANETs for this communication is studied.

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Ghareeb, Ibrahim, та Amani Atiani. "Bit Error Rate Analysis of Mobile Ad Hoc Networks over η − µ Fading Channels". مجلة جامعة فلسطين التقنية للأبحاث 2, № 2 (2021): 25–34. http://dx.doi.org/10.53671/pturj.v2i2.31.

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In this paper the performance analysis of Mobile ad hoc networks (MANETs) is conducted for a differential QPSK (DQPSK) signals with post-detection equal gain combining (EGC) receiver operating over additive white Gaussian noise (AWGN) as well as for slow frequency nonselective η − µ fading channels, in which the diversity branches can have unequal signal-to-noise ratios (SNRs) as well as different severity parameters. The average bit error probability (ABEP) is evaluated using MGF-based approach. The average BER per multi-hop route of MANETs for this communication is studied.

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Abdulhamid, Mohanad F., and Onyango Ben Sewe. "Performance of UWB-WBAN System Over Awgn Channel." Technological Engineering 15, no. 1 (2018): 20–25. http://dx.doi.org/10.1515/teen-2018-0004.

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Abstract The major constraints in the design of Wireless Body Area Network(WBAN) can be attributed to the battery autonomy, need for high data rate services and low interference from the devices operating within the industrial, scientific and medical (ISM) bands. To meet the demand for high data rate services and low power spectral density to avoid ISM band interference, an ultra-wide band(UWB) system based technology has been proposed. This paper focuses on the design and demonstration of an UWB modem to be used in the WBAN applications and the evaluation of its performance in a near-real wor

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30

SINGH, GOPAL, and H. N. MISHRA. "Noise Minimization in Wireless Network." Material Science Research India 9, no. 2 (2012): 239–42. http://dx.doi.org/10.13005/msri/090210.

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The 2Dwhitenoise model has been extended to represent a modified power law that is realistic. It allows for finite moments for the interference.The white noise processes with a decaying power law.Impulse response functions are ideally suited for modeling the network self-interference in an ad hoc network.The nodes are distributed in a plane according to a Poisson point process. A stochastic impulse response function is used to model different random parameters like channel fluctuation, variable transmission power of the nodes etc. For a decaying power law, all the moments of the interference d

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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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Haffane, Ahmed, Abdelhafid Hasni, Mustapha Khelifi, and Boufeldja Kadri. "Convergence analysis of the unpunctured turbo trellis-coded modulation (UTTCM)." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 447. http://dx.doi.org/10.11591/ijeecs.v13.i2.pp447-452.

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In this paper, the performance of the Unpunctured Turbo Trellis-Coded Modulation (UTTCM) over Additive White Gaussian Noise (AWGN) channel is analyzed using the non-binary extrinsic information transfer (EXIT) chart. The exchange of the extrinsic information between the decoder components is tracked, allowing the generation of an EXIT chart, which is a powerful tool for analyzing the convergence behavior of iterative decoding and prediction of convergence position. The Simulation results are compared with the turbo cliff positions on the BER curves.

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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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Kittisuwan, Pichid. "Simple Form of MMSE Estimator for Super-Gaussian Prior Densities." Fluctuation and Noise Letters 14, no. 03 (2015): 1550025. http://dx.doi.org/10.1142/s021947751550025x.

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The denoising method that become popular in recent years for additive white Gaussian noise (AWGN) are Bayesian estimation techniques e.g., maximum a posteriori (MAP) and minimum mean square error (MMSE). In super-Gaussian prior densities, it is well known that the MMSE estimator in such a case has a complicated form. In this work, we derive the MMSE estimation with Taylor series. We show that the proposed estimator also leads to a simple formula. An extension of this estimator to Pearson type VII prior density is also offered. The experimental result shows that the proposed estimator to the or

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Ghauri, Sajjad Ahmed, Ijaz Mansoor Qureshi, Tanveer Ahmed Cheema, and Aqdas Naveed Malik. "A Novel Modulation Classification Approach Using Gabor Filter Network." Scientific World Journal 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/643671.

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A Gabor filter network based approach is used for feature extraction and classification of digital modulated signals by adaptively tuning the parameters of Gabor filter network. Modulation classification of digitally modulated signals is done under the influence of additive white Gaussian noise (AWGN). The modulations considered for the classification purpose are PSK 2 to 64, FSK 2 to 64, and QAM 4 to 64. The Gabor filter network uses the network structure of two layers; the first layer which is input layer constitutes the adaptive feature extraction part and the second layer constitutes the s

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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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Ahmed, Aliyu, and Adeyemi Abel Ajibesin. "Performance of Modulation Techniques over AWGN and Multipath Fading Channels." Advances in Science and Technology 107 (June 28, 2021): 182–93. http://dx.doi.org/10.4028/www.scientific.net/ast.107.182.

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The essence of my paper is to intricately look at data transfer with various modulation techniques over various communication channels. And run simulations to uncover the Bit Error Rate (BER) of various relevant scenarios. I will evaluate the performance of modulation techniques from Binary Phase Shift Keying (BPSK or 2PSK) to 16PSK and other modulation techniques with the consideration of time. Their performance will be evaluated and analyzed by calculating their probability of bit error rate (BER) versus the Energy per bit to spectral noise density (Eb/No) over various wireless channel model

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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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Hansen, Henrik Enggaard, Metodi P. Yankov, Leif Katsuo Oxenløwe, and Søren Forchhammer. "Optimization of Probabilistic Shaping for Nonlinear Fiber Channels with Non-Gaussian Noise." Entropy 22, no. 8 (2020): 872. http://dx.doi.org/10.3390/e22080872.

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Probabilistic constellation shaping is investigated in the context of nonlinear fiber optic communication channels. Based on a general framework, different link types are considered—1. dispersion-managed channels, 2. unrepeatered transmission channels and 3. ideal distributed Raman amplified channels. These channels exhibit nonlinear effects to a degree that conventional probabilistic constellation shaping strategies for the additive white Gaussian (AWGN) noise channel are suboptimal. A channel-agnostic optimization strategy is used to optimize the constellation probability mass functions (PMF

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L, Sruthy, L. Bharathi, and P. Malini. "Selective Spanning With Fast Enumeration Algorithm for MIMO." International Journal of Emerging Research in Management and Technology 6, no. 10 (2017): 79. http://dx.doi.org/10.23956/ijermt.v6i10.70.

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Multiple input multiple output system have been emerged technology to increase channel capacity and a technical breakthrough for high data rate wireless transmission. The main objective of MIMO system is to obtain low Symbol Error Rate (SER) and acceptable computational complexity. The MIMO system cannot be implemented due to complexity problem. The complexity of MIMO system can be reduced by using different detector algorithms. In this paper, the performance of MIMO system over AWGN (Additive White Gaussian Noise) with ZF, MMSE, SD, K best algorithm and SSFE are analyzed using different anten

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Exel, Reinhard. "Receiver Design for Time-Based Ranging with IEEE 802.11b Signals." International Journal of Navigation and Observation 2012 (August 8, 2012): 1–15. http://dx.doi.org/10.1155/2012/743625.

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This paper presents a ranging receiver architecture able to timestamp IEEE 802.11b Wireless LAN signals with sub-100 picosecond precision enabling time-based range measurements. Starting from the signal model, the performance of the proposed architecture is assessed in terms of statistical bounds when perturbed by zero-mean additive white Gaussian noise (AWGN) as well as in case of multipath propagation. Results of the proposed architecture, implemented in a Field Programmable Gate Array-(FPGA-) based prototype, are presented for different environments. For AWGN channels, the prototype system

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Askali, Mohamed, Fouad Ayoub, Idriss Chana, and Mostafa Belkasmi. "Iterative Soft Permutation Decoding of Product Codes." Computer and Information Science 9, no. 1 (2016): 128. http://dx.doi.org/10.5539/cis.v9n1p128.

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<p>In this paper the performance of product codes based on quadratic residue codes is investigated. Our Proposed<br />Iterative decoding SISO based on a soft permutation decoding algorithm (SPDA) as a component decoder.<br />Numerical result for the proposed algorithm over Additive White Gaussian Noise (AWGN) channel is provided.<br />Results show that the turbo effect of the proposed decoder algorithm is established for this family of quadratic<br />residue codes.</p>

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Hussein, Jabbar S., Abdulkadhim A. Salman, and Thmer R. Saeed. "Arabic speaker recognition using HMM." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 1212. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp1212-1218.

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In this paper, a new suggested system for speaker recognition by using hidden markov model (HHM) algorithm. Many researches have been written in this subject, especially by HMM. Arabic language is one of the difficult languages and the work with it is very little, also, the work has been done for text dependent system where HMM is very effective and the algorithm trained at the word level. One the problems in such systems is the noise, so we take it in consideration by adding additive white gaussian noise (AWGN) to the speech signals to see its effect. Here, we used HMM with new algorithm with

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Zhang, Jing Xi. "Optimization of LDPC Codes by Extrinsic Information Transfer Chart." Applied Mechanics and Materials 427-429 (September 2013): 1518–23. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1518.

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The optimization of degree profiles of low-density parity-check (LDPC) code in additive white Gaussian noise (AWGN) multiple access channel (MAC) by fitting the transfer characteristics of variable nodes detector (VND) and that of check nodes detector (CND) is discussed. Extrinsic information transfer (EXIT) characteristics are used for determining the degree profiles based on curve fitting. The convergence the optimized LDPC code is ensured by the EXIT characteristics of VND and CND. Degree profiles are obtained and check matrix is constructed. Simulation results show that the method is varia

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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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Zhang, Lei, Bin Hu, Jun Wu, and Zhong Hua Liu. "Complexity Constrained Detection of Continuous Phase Modulation Based on Breadth-First Method." Applied Mechanics and Materials 263-266 (December 2012): 331–34. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.331.

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This paper solves the problem of high detection complexity of continuous phase modulation (CPM) signals over additive white Gaussian noise (AWGN) channel. A complexity constrained sequence detection method for CPM is provided using breadth-first maximum-likelihood sequence detection. The derived result is to reserve only those states which are closest to the received signal in the Euclidean distance after retain one best path for every state. Compared with the maximum-likelihood detector based on Viterbi Algorithm (VA), a significant reduction in complexity is obtained by the suggested detecto

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Liu, Wei Cai, Yuan An Liu, Kai Ming Liu, and Yu Meng Guo. "A Modified DFT-Based Channel Estimator Using Dual-Tree Complex Wavelet Denoising for OFDM Systems with Null Carriers." Applied Mechanics and Materials 668-669 (October 2014): 1215–18. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1215.

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In this paper, we present a modified discrete Fourier transform (DFT)-based channel estimator for orthogonal frequency-division multiplexing (OFDM) systems with null carriers. Due to the channel leakage, the conventional DFT-based estimator has the problem of error floor. In order to suppress the leakage, we adopt the optimal leakage suppression method. Moreover, a novel denoising method based on dual-tree complex wavelet is proposed to further improve the performance. Simulation results show that the proposed channel estimator can effectively overcome the performance degradation caused by the

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Zahra, Anam, and Qasim Umar Khan. "Performance Comparison of Digitized Quaternion Modulation with other Modulation Schemes." ITM Web of Conferences 27 (2019): 01004. http://dx.doi.org/10.1051/itmconf/20192701004.

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In wireless networks signal’s security from noise has been a very challenging issue, primarily because of the broadcast nature of communication. This paper focuses on digitized Quaternion Modulation (QM) which gives better performance as compared to QPSK, QAM and QFSK. We compare the performance of quaternion modulation with other modulation schemes in terms of BER using idealistic Additive White Gaussian Noise AWGN channel. This scheme can be used in applications such as Global Positioning System (GPS), satellite and space communication system to reduce errors. The simulation results show sup

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Rabin, A. V., M. A. Dobroselskij, and V. A. Lipatnikov. "RESEARCH OF CHARACTERISTICS OF NOISE IMMUNITY WITH USE OF ORTHOGONAL CODING." Issues of radio electronics, no. 10 (October 20, 2018): 80–85. http://dx.doi.org/10.21778/2218-5453-2018-10-80-85.

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In the digital communication systems for noise immunity's increase with the fixed code rate it is proposed to use an additional orthogonal coding developed by the authors. It is an analogue of convolutional coding over the rational numbers' field. Transmission of digital signals in Additive white Gaussian noise (AWGN) channel and fading channels is considered including a joint use of the orthogonal and correcting codes (block and convolutional). It is shown that losses in signal-to-noise ratio can be significantly reduced by use of orthogonal coding. By increase of matrices' order, on which ba

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Oyetola, Oluwadamilola Kehinde, Ayodeji Akinsoji Okubanjo, Alexander Akpofure Okandeji, Peter Olufemi Alao, Martins O. Osifeko, and Omowunmi Grace Olasunkanmi. "SYMBOL ERROR PROBABILITY OF 16-QAM SYSTEM OVER AWGN AND RAYLEIGH FADING CHANNELS." African Journal of Science and Nature 7 (November 6, 2020): 29. http://dx.doi.org/10.46881/ajsn.v7i0.154.

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Wireless communication had transformed the mode of human interactions in recent times, distance is no longer a barrier as messages can be sent several miles apart within few seconds. In addition, the pervasive adoption of mobile communication system had engendered researchers to device new and effective technologies to enhance Quality of Service (QOS) offered by service providers. This is obvious in the deployment of trending mobile generations such as 2G, 3G and 4G systems for high speed voice and data services. Nevertheless, these systems are still embattled with unpredictable impairment suc

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