Relevant bibliographies by topics / Additive white Gaussian noise channel

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

Academic literature on the topic 'Additive white Gaussian noise channel'

Author: Grafiati
Published: 3 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Additive white Gaussian noise channel"

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ISAKA, Motohiko. "Oblivious Transfer from the Additive White Gaussian Noise Channel." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93-A, no. 2 (2010): 516–25. http://dx.doi.org/10.1587/transfun.e93.a.516.

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Ping Hou, B. J. Belzer, and T. R. Fischer. "Shaping gain of the partially coherent additive white Gaussian noise channel." IEEE Communications Letters 6, no. 5 (2002): 175–77. http://dx.doi.org/10.1109/4234.1001655.

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Honary, B., F. Ali, and M. Darnell. "Information capacity of additive white gaussian noise channel with practical constraints." IEE Proceedings I Communications, Speech and Vision 137, no. 5 (1990): 295. http://dx.doi.org/10.1049/ip-i-2.1990.0041.

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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 (PMFs) for the channels in use. Optimized PMFs are obtained, which balance the effects of additive amplified spontaneous emission noise and nonlinear interference. The obtained PMFs cannot be modeled by the conventional Maxwell-Boltzmann PMFs and outperform optimal choices of these in all the investigated channels. Suboptimal choices of constellation shapes are associated with increased nonlinear effects in the form of non-Gaussian noise. For dispersion-managed channels, a reach gain in 2 spans is seen and across the three channel types, gains of >0.1 bits/symbol over unshaped quadrature-amplitude modulation (QAM) are seen using channel-optimized probablistic shaping.
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Zhou, Yuqian, Jianbo Jiao, Haibin Huang, Jue Wang, and Thomas Huang. "Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 10085–86. http://dx.doi.org/10.1609/aaai.v33i01.330110085.

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Discriminative learning based denoising model trained with Additive White Gaussian Noise (AWGN) performs well on synthesized noise. However, realistic noise can be spatialvariant, signal-dependent and a mixture of complicated noises. In this paper, we explore multiple strategies for applying an AWGN-based denoiser to realistic noise. Specifically, we trained a deep network integrating noise estimating and denoiser with mixed Gaussian (AWGN) and Random Value Impulse Noise (RVIN). To adapt the model to realistic noises, we investigated multi-channel, multi-scale and super-resolution approaches. Our preliminary results demonstrated the effectiveness of the newly-proposed noise model and adaptation strategies.
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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 simulation is that modulation with binary phase shift keying (BPSK), and iterative decoding based on pipeline log-likelihood rate belief propagation (LLRBP) algorithm. Finally, it is shown that RC-LDPC convolutional codes have good bit-rate-error (BER) performance and can effectively reduce the impact of noise.
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Lev, Omri, and Anatoly Khina. "Energy-Limited Joint Source–Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level." Entropy 25, no. 11 (2023): 1522. http://dx.doi.org/10.3390/e25111522.

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We consider the problem of transmitting a Gaussian source with minimum mean square error distortion over an infinite-bandwidth additive white Gaussian noise channel with an unknown noise level and under an input energy constraint. We construct a universal joint source–channel coding scheme with respect to the noise level, that uses modulo-lattice modulation with multiple layers. For each layer, we employ either analog linear modulation or analog pulse-position modulation (PPM). We show that the designed scheme with linear layers requires less energy compared to existing solutions to achieve the same quadratically increasing distortion profile with the noise level; replacing the linear layers with PPM layers offers an additional improvement.
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Abedi, O., and M. C. E. Yagoub. "Performance Comparison of UWB Pulse Modulation Schemes under White Gaussian Noise Channels." International Journal of Microwave Science and Technology 2012 (October 2, 2012): 1–9. http://dx.doi.org/10.1155/2012/590153.

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In this paper, and for the first time, the performance of various ultra wideband pulse modulation schemes are discussed and compared in terms of narrowband interference robustness, symbol error rate, system complexity, data rate, and maximum transmit power with respect to transceiver distance and channel capacity. The channel model is the UWB IEEE 802.15.3a multipath indoor channel model under additive white Gaussian noise. The transmit power was evaluated by integrating the fifth derivative of the power spectrum density of the Gaussian pulse over the whole bandwidth.
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MARIÑO, INÉS P., CELSO GREBOGI, and EPAMINONDAS ROSA. "RECONSTRUCTION OF INFORMATION-BEARING CHAOTIC SIGNALS IN ADDITIVE WHITE GAUSSIAN NOISE: PERFORMANCE ANALYSIS AND EVALUATION." International Journal of Bifurcation and Chaos 11, no. 10 (2001): 2631–35. http://dx.doi.org/10.1142/s021812740100367x.

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Chaotic signals can be used as carriers of information in communication systems since they own some redundancy that can be exploited to reconstruct missing or distorted parts of a waveform that has been transmitted through a communication channel. In this paper, we extend our previous results for the ideal noise free channel [Mariño et al., 1999] to a more general situation where additive white Gaussian noise corrupts the information-bearing chaotic signal.
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Chen, Shaolei, Liangliang Zhu, Zhaoyang Zhang, Xiaoming Chen, and Kedi Wu. "Accumulate rateless codes and their performances over additive white Gaussian noise channel." IET Communications 7, no. 4 (2013): 372–81. http://dx.doi.org/10.1049/iet-com.2012.0315.

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Dissertations / Theses on the topic "Additive white Gaussian noise channel"

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

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (leaves 215-216).<br>We present a new perspective on additive white Gaussian noise (AWGN) channels that separates user and channel attributes. Following this separation, various questions concerning achievability and successive decoding can be reformulated as properties of the set of user attributes, which can be determined independently of the actual channel noise. To obtain these properties directly, we introduce a graphical framework called the power diagram. Based on graphical manipulations in this framework, our results on N-user multi-access channels include the following: 1. simplifying the achievability condition to an algorithm requiring 0 (N In N) computations 2. simplifying the check of whether a given rate tuple is decodable with simple successive decoding (to be defined) to an algorithm requiring 0(N ln N) computations 3. developing a technique for power-reduced successive decoding, accompanied by the set of rate tuples for which such a technique is applicable, and an algorithm that checks whether a given rate tuple is decodable with this technique requiring O(N In N) computations 4. presenting a class of graphical constructions for splitting any achievable rate tuple into a set of virtual users that allows successive decoding. These constructions deal with rate tuples not on the dominant face in a natural way, whereas previous works have viewed these rate tuples as a somewhat ad hoc extension of the dominant face results 5. presenting a class of graphical constructions that facilitate successive decoding to any achievable rate tuple using the time-sharing technique, improving the known upper bound on decoding complexity (using this combination of techniques) to 2N - !<br>by Li Shu.<br>Ph.D.
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Ni, Li. "Non-equiprobable multi-level coding for the additive white Gaussian noise channel with Tikhonov phase error." Online access for everyone, 2005. http://www.dissertations.wsu.edu/Dissertations/Fall2005/l%5Fni%5F120905.pdf.

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

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Ng, Jimmy Hon-yuen. "Estimation of error rates and fade distributions on a Rayleigh fading channel with additive white Gaussian noise." Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/26318.

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Several characteristics of the Rayleigh fading channel are examined. A digital Rayleigh fading simulator is used to generate the (fading) signal envelope from which various statistics are derived. Based on the simulation results, a simple model is proposed in order to estimate the block error rate of a block of N data bits transmitted over the Rayleigh fading channel in the presence of additive white Gaussian noise. This model gives an average estimation error of about 4 % over the range of blocksizes N = 63, 127, 255, 511, 1023, 2047 (bits), average signal-to-noise ratios 70 = 5 to 35 (dB) and fading frequencies f[sub D] = 10 to 90 (Hz) corresponding to vehicle speeds of 8 to 71 MPH at a radio carrier frequency of 850 MHz. A second somewhat more complex model for estimating the block error rate is found to yield a lower average estimation error of 2.4 % over the same set of simulated data. The probability distributions of the fade rate and the fade duration are also examined. Empirical models are derived for the estimation of the probability mass function of the fade rate and the probability density function of the fade duration. These empirical models allow fairly accurate estimates without the need for cosdy and time-consuming simulations. The probability of m-bit errors in an N-bit block is an important parameter in the design of error-correcting codes for use on the mobile radio channel. However, such probabilities are difficult to determine without performing extensive simulation or field trials. An approach to estimate them empirically is proposed.<br>Applied Science, Faculty of<br>Electrical and Computer Engineering, Department of<br>Graduate
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Chen, Brian. "Efficient communication over additive white Gaussian noise and intersymbol interference channels using chaotic sequences." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/40151.

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Argyriou, Andreas. "Probability of symbol error for coherent and non-coherent detection of M-ary frequency-shift keyed (MFSK) signals affected by co-channel interference and additive white Gaussian noise (AWGN) in a fading channel." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA376826.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 2000.<br>Thesis advisor(s): Lebaric, Jovan; Robertson, Clark. Includes bibliographical references (p. 289). Also available online.
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Erdogan, Ahmet Yasin. "Analysis of the effects of phase noise and frequency offset in orthogonal frequency division multiplexing (OFDM) systems." Thesis, Monterey California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1712.

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Approved for public release, distribution is unlimited<br>Orthogonal frequency division multiplexing (OFDM) is being successfully used in numerous applications. It was chosen for IEEE 802.11a wireless local area network (WLAN) standard, and it is being considered for the fourthgeneration mobile communication systems. Along with its many attractive features, OFDM has some principal drawbacks. Sensitivity to frequency errors is the most dominant of these drawbacks. In this thesis, the frequency offset and phase noise effects on OFDM based communication systems are investigated under a variety of channel conditions covering both indoor and outdoor environments. The simulation performance results of the OFDM system for these channels are presented.<br>Lieutenant Junior Grade, Turkish Navy
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DeRieux, David A. "Investigation of spectral-based techniques for classification of wideband transient signals in additive white Gaussian noise." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA282954.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 1994.<br>Thesis advisor(s): Ralph Hippenstiel, Monique P. Fargues. "March 1994." Includes bibliographical references. Also available online.
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Fougias, Nikolaos. "High speed network access to the last-mile using fixed broadband wireless." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FFougias.pdf.

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Thesis (M.S. in Information Technology Management and M.S. in Computer Science)--Naval Postgraduate School, March 2004.<br>Thesis advisor(s): Burt Lundy. Includes bibliographical references (p. 99-100). Also available online.
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Chen, Jui-Chun. "A virtual RSNS direction finding antenna system." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FChen%5FJui.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, Dec. 2004.<br>Thesis Advisor(s): David C. Jenn, Phillip E. Pace. Includes bibliographical references (p. 69-70). Also available online.
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Books on the topic "Additive white Gaussian noise channel"

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

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Book chapters on the topic "Additive white Gaussian noise channel"

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

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

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

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

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

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"Appendix A: Proof of the Channel Capacity of the Additive White Gaussian Noise Channel." In Digital Communications 1. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119232421.app1.

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Juwiler, Irit, Michael Vinnik, Ron Brown, and Nathan Blaunstein. "Integration of Fiberoptic and Radio Frequency Channels for Hybrid 5G MIMO Network." In 5G and 6G Broadband Communication Networks - Challenges, Trends, and Opportunities [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1002523.

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

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This chapter provides an overview of the information theoretic foundations of cooperative communications. Earlier information theoretic achievements, as well as the more recent developments, are discussed. The analysis accounts for full/half-duplex node, and for multiple relays. Various channel models such as discrete memoryless, additive white Gaussian noise (AWGN), and fading channels are considered. Cooperative communication protocols are investigated using capacity, diversity, and diversity-multiplexing tradeoff (DMT) as performance metrics. Overall, this chapter provides a comprehensive view on the foundations of and the state-of-the-art reached in the theory of cooperative communications.
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Li Xiao-Fei, He Di, and Chen Xiao-Hua. "PMDA-Schemed EM Channel Estimator for OFDM Systems." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-722-1-267.

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Channel estimation is a challenging problem in an Orthogonal frequency division multiplexing (OFDM) system, where is met with frequency-selective Rayleigh fading. The Poor man's Data Augmentation (PMDA) estimator is proposed to efficiently estimate the channel impulse response (CIR) making use of multipath fading channels with additive white Gaussian noise (AWGN). A modest number of pilot tones is used to efficiently improve the channel estimation by the use of the PMDA estimator to obtain the initial estimation for the iterative procedure. Using Cramer-Rao-like-lower (CRLB) estimator as the unbiased channel estimation criterion, simulation results illustrate that the bit error rate (BER) performance and the mean square error (MSE) performance estimated by the PMDA algorithm are better than those used by the EM estimator and reveals that the convergence of PMDA estimator is faster than the EM estimators.
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Zribi, Amin, Sonia Zaibi, Ramesh Pyndiah, and Ammar Bouallègue. "Chase-Like Decoding of Arithmetic Codes with Applications." In Intelligent Computer Vision and Image Processing. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3906-5.ch003.

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Motivated by recent results in Joint Source/Channel (JSC) coding and decoding, this paper addresses the problem of soft input decoding of Arithmetic Codes (AC). A new length-constrained scheme for JSC decoding of these codes is proposed based on the Maximum a posteriori (MAP) sequence estimation criterion. The new decoder, called Chase-like arithmetic decoder is supposed to know the source symbol sequence and the compressed bit-stream lengths. First, Packet Error Rates (PER) in the case of transmission on an Additive White Gaussian Noise (AWGN) channel are investigated. Compared to classical arithmetic decoding, the Chase-like decoder shows significant improvements. Results are provided for Chase-like decoding for image compression and transmission on an AWGN channel. Both lossy and lossless image compression schemes were studied. As a final application, the serial concatenation of an AC with a convolutional code was considered. Iterative decoding, performed between the two decoders showed substantial performance improvement through iterations.
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Conference papers on the topic "Additive white Gaussian noise channel"

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

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Wernersson, Niklas, and Mikael Skoglund. "Nonlinear distributed source-channel coding over orthogonal additive white Gaussian noise channels." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4960123.

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Isaka, Motohiko, and Seiya Kawata. "On secret key agreement from the additive white Gaussian noise channel." In 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2009). IEEE, 2009. http://dx.doi.org/10.1109/pimrc.2009.5450139.

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Boyle, Kevin P., Philip J. Lin, and Christopher C. Yu. "Rateless unequal error protection codes for the additive white Gaussian noise channel." In MILCOM 2009 - 2009 IEEE Military Communications Conference. IEEE, 2009. http://dx.doi.org/10.1109/milcom.2009.5379769.

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Ping Hou, B. J. Belzer, and T. R. Fischer. "On the capacity of the partially coherent additive white gaussian noise channel." In IEEE International Symposium on Information Theory, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isit.2003.1228388.

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Brannstrom, F., and L. K. Rasmussen. "Non-data-aided parameter estimation in an additive white gaussian noise channel." In Proceedings. International Symposium on Information Theory, 2005. ISIT 2005. IEEE, 2005. http://dx.doi.org/10.1109/isit.2005.1523582.

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

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Hussain, I., Ming Xiao, and L. K. Rasmussen. "Error Floor Analysis of LT Codes over the Additive White Gaussian Noise Channel." In 2011 IEEE Global Communications Conference (GLOBECOM 2011). IEEE, 2011. http://dx.doi.org/10.1109/glocom.2011.6133650.

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Nuha, Hilal H., Tafta Zani, Muhammad Fadhly Ridha, and Adiwijaya. "Binary Data Correction Simulation Using Convolutional Code on Additive White Gaussian Noise Channel." In 2022 International Conference on Data Science and Its Applications (ICoDSA). IEEE, 2022. http://dx.doi.org/10.1109/icodsa55874.2022.9862932.

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Saranya, M., and S. Sathya. "Optimized transmission for multiple input multiple output interference channel with additive white Gaussian noise." In 2014 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2014. http://dx.doi.org/10.1109/iccsp.2014.6949984.

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