Relevant bibliographies by topics / Iterative receiver

Academic literature on the topic 'Iterative receiver'

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Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Iterative receiver"

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Qiao, Gang, Zeeshan Babar, Feng Zhou, Lu Ma, and Xue Li. "Low-Complexity Progressive MIMO-OFDM Receiver for Underwater Acoustic Communication." Symmetry 11, no. 3 (March 11, 2019): 362. http://dx.doi.org/10.3390/sym11030362.

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Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) proves to be a better choice for high speed underwater acoustic (UWA) communication as it increases the data rate and solves the bandwidth limitation issue; however, at the same time, it increases the design challenges and complexity of the receivers. Inter-Symbol Interference (ISI) and Inter-Carrier Interference (ICI) are introduced in the received signal by the extended multipath and Doppler shifts along with different types of noises due to the noisy acoustic channel. Here we propose two iterative receivers: one is ICI unaware iterative MIMO-OFDM receiver, which uses a novel cost function threshold based soft information decision feedback method. The second one is ICI aware progressive iterative MIMO-OFDM receiver, which adapts and increases the progressions according to the level of ICI present in the received signal, while fully utilizing the soft information from the previous iterations, therefore reducing the complexity. Orthogonal Matching pursuit (OMP) channel estimation, low density parity check (LDPC) decoding and minimum mean square error (MMSE) equalization schemes are exploited by both the receivers. The proposed receivers are analyzed and compared with the standard Alamouti MIMO receiver as a reference and also compared with the non-iterative, basic turbo iterative and non-progressive iterative MIMO receivers. Simulations and experimental results prove the efficiency and effectiveness of the proposed receivers.
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Qiao, Gang, Zeeshan Babar, Lu Ma, and Xue Li. "Cost Function based Soft Feedback Iterative Channel Estimation in OFDM Underwater Acoustic Communication." Infocommunications journal, no. 1 (2019): 29–37. http://dx.doi.org/10.36244/icj.2019.1.4.

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Underwater Acoustic (UWA) communication is mainly characterized by bandwidth limited complex UWA channels. Orthogonal Frequency Division Multiplexing (OFDM) solves the bandwidth problem and an efficient channel estimation scheme estimates the channel parameters. Iterative channel estimation refines the channel estimation by reducing the number of pilots and coupling the channel estimator with channel decoder. This paper proposes an iterative receiver for OFDM UWA communication, based on a novel cost function threshold driven soft decision feedback iterative channel technique. The receiver exploits orthogonal matching pursuit (OMP) channel estimation and low density parity check (LDPC) coding techniques after comparing different channel estimation and coding schemes. The performance of the proposed receiver is verified by simulations as well as sea experiments. Furthermore, the proposed iterative receiver is compared with other non-iterative and soft decision feedback iterative receivers.
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Ligorría, Juan Pablo, and Charles J. Ammon. "Iterative deconvolution and receiver-function estimation." Bulletin of the Seismological Society of America 89, no. 5 (October 1, 1999): 1395–400. http://dx.doi.org/10.1785/bssa0890051395.

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Abstract We describe and apply an iterative, time-domain deconvolution approach to receiver-function estimation and illustrate the reliability and advantages of the technique using synthetic- and observation-based examples. The iterative technique is commonly used in earthquake time-function studies and offers several advantages in receiver-function analysis such as intuitively stripping the largest receiver-function arrivals from the observed seismograms first and then the details; long-period stability by a priori constructing the deconvolution as a sum of Gaussian pulses; and easy generalization to allow multiwaveform deconvolution for a single receiver-function estimate.
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Shan, Shuwei, Hanwen Luo, and Wentao Song. "Iterative receiver for OFDM-SDMA system." Journal of Electronics (China) 21, no. 5 (September 2004): 359–65. http://dx.doi.org/10.1007/bf02687936.

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El Chall, Rida, Fabienne Nouvel, Maryline Hélard, and Ming Liu. "Performance and Complexity Evaluation of Iterative Receiver for Coded MIMO-OFDM Systems." Mobile Information Systems 2016 (2016): 1–22. http://dx.doi.org/10.1155/2016/7642590.

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Multiple-input multiple-output (MIMO) technology in combination with channel coding technique is a promising solution for reliable high data rate transmission in future wireless communication systems. However, these technologies pose significant challenges for the design of an iterative receiver. In this paper, an efficient receiver combining soft-input soft-output (SISO) detection based on low-complexity K-Best (LC-K-Best) decoder with various forward error correction codes, namely, LTE turbo decoder and LDPC decoder, is investigated. We first investigate the convergence behaviors of the iterative MIMO receivers to determine the required inner and outer iterations. Consequently, the performance of LC-K-Best based receiver is evaluated in various LTE channel environments and compared with other MIMO detection schemes. Moreover, the computational complexity of the iterative receiver with different channel coding techniques is evaluated and compared with different modulation orders and coding rates. Simulation results show that LC-K-Best based receiver achieves satisfactory performance-complexity trade-offs.
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Jiang, Hong Rui, and Kyung Sup Kwak. "Space–Time Block Coding Iterative Multiuser Receiver." Journal of Circuits, Systems and Computers 12, no. 01 (February 2003): 19–30. http://dx.doi.org/10.1142/s0218126603000817.

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We present a multiuser receiver for CDMA systems with the combination of turbo channel coding and space–time block coding. A turbo scheme based on multiuser detection, soft interference cancellation and decoding is provided, and the algorithms for space–time decoding and separately interference suppressing are derived in this paper. The multiuser detection consists of multiuser interference suppression and single-user space–time decoding. Then we develop the iterative multiuser receiver based on the soft estimates of the interfering users' symbols. Moreover, simulation is given to verify the effectiveness of the multiuser receiver.
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Wang, Yinzhi, and Gary L. Pavlis. "Generalized iterative deconvolution for receiver function estimation." Geophysical Journal International 204, no. 2 (December 16, 2015): 1086–99. http://dx.doi.org/10.1093/gji/ggv503.

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Lyu, Yibo, Lin Wang, Guofa Cai, and Guanrong Chen. "Iterative Receiver for $M$-ary DCSK Systems." IEEE Transactions on Communications 63, no. 11 (November 2015): 3929–36. http://dx.doi.org/10.1109/tcomm.2015.2425877.

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Kim, Y. J. D., and J. Bajcsy. "Iterative receiver for faster-than-Nyquist broadcasting." Electronics Letters 48, no. 24 (November 22, 2012): 1561–62. http://dx.doi.org/10.1049/el.2012.3346.

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Lehnigk-Emden, T., U. Wasenmüller, C. Gimmler, and N. Wehn. "Analysis of iteration control for turbo decoders in turbo synchronization applications." Advances in Radio Science 7 (May 18, 2009): 139–44. http://dx.doi.org/10.5194/ars-7-139-2009.

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Abstract. Wireless data transmission results in frequency and phase offsets of the signal in the receiver. In addition, the received symbols are corrupted by noise. Therefore, synchronization and channel coding are vital parts of each receiver in digital communication systems. By combining the phase and frequency synchronization with an advanced iterative channel decoder (inner loop) e.g. turbo codes in an iterative way (outer loop), the communications performance can be further increased. This principle is referred to as turbo synchronization. The energy consumption and the peak throughput of the system depend on the number of iterations for both loops. An advanced iteration control can decrease the mean number of needed iterations by detecting correctly decoded blocks. This leads to a dramatic energy saving or to an increase of throughput. In this paper we present a new stopping criterion for decodable blocks for turbo decoding in interrelation with turbo synchronization. Furthermore the implementation complexity of the turbo decoder is shown on a Xilinx FPGA.
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Dissertations / Theses on the topic "Iterative receiver"

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Nguyen, Xuan Huan Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "OFDM receiver design with iterative techniques." Awarded by:University of New South Wales. School of Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/26776.

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Recent advances in iterative signal processing have allowed communication systems to obtain near optimal performance with manageable complexity. The idea of iteratively exchanging the reliability information among the components within a receiver to improve overall performance is known as the turbo concept or turbo processing. Based on the principle of turbo processing, this thesis investigates the key issues in designing a receiver for high data rate multicarrier wireless systems. The particular focus is on the orthogonal frequency division multiplexing (OFDM) technique which can be potentially targeted for the 4th generation communication systems. The first part of the thesis addresses the primary issues in an OFDM receiver such as channel estimation, carrier frequency offset (CFO) compensation, and decoding. Since the optimal solutions require a high load of computation, iterative algorithms are generally desirable. The soft information from the decoder/detector can be efficiently incorporated into the channel estimator/CFO compensator, which consequently results in better performance of the receiver. The thesis provides a framework of iterative algorithms for OFDM receivers in which the converged performances are close to those of the optimal solutions. In the second part of the thesis, the iterative algorithms for the spatial diversity channels, or in other words, multiple input multiple output (MIMO) channels, are investigated. Together with capacity potential, MIMO channels bring in some new challenges. With a number of antennas on both the transmitting and receiving sides, inter-antenna and co-antenna interference is the arising concern in addition to the conventional intersymbol interference problem. Also, most of the optimal signal processing algorithms within a receiver have complexities which are at least proportionally if not exponentially increasing with the number of antennas. This creates challenges for implementing signal processing algorithms at the receiver. We therefore investigate and design manageable-complexity iterative algorithms for spatial diversity channels. In particular, we develop novel decision feedback detectors for the single user scenario, and then propose a jointly iterative multiuser detection and cell-related interference cancellation scheme for the multiuser scenario. Again, it is verified that the iterative algorithms can be effectively used as near-optimal solutions for OFDM system with spatial diversity channels.
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Schmitt, Lars. "On iterative receiver algorithms for concatenated codes /." Aachen : Shaker, 2008. http://d-nb.info/98808757X/04.

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Mathur, Avinash. "Iterative LDPC CDMA receiver with EM estimation." Thesis, Wichita State University, 2007. http://hdl.handle.net/10057/1547.

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This thesis proposed a scheme of obtaining an estimate of channel coefficient and noise power spectral density (PSD), using iterative expectation-maximization (EM) channel estimation, based on a low-density parity-check (LDPC) code-division multiple-access receiver. At the receiver, an initial estimate was obtained with the aid of pilot symbols. Pilot bits were distributed among subframes followed by spreading and binary phase-shift keying. Subsequent values of channel coefficient and noise PSD both were updated iteratively by the soft feedback from the LDPC decoder. The updated channel coefficient and noise PSD were iteratively passed to the LDPC decoder, which resulted in improved decoding accuracy. The algorithm was tested on both a single user for constant noise PSD and a more realistic multiuser environment for a time-varying interference-plus-noise PSD estimation.
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering
"July 2007."
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Mathur, Avinash Kwon Hyuck M. "Iterative LDPC CDMA receiver with EM estimation /." Thesis, A link to full text of this thesis in SOAR, 2007. http://hdl.handle.net/10057/1547.

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Sun, Kyung Tae (John) Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Selective detection in an iterative soft interference cancellation receiver." Awarded by:University of New South Wales. School of Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/35224.

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This thesis proposes an idea to selectively detect the code bits in an iterative soft interference cancellation multiuser receiver. It is of a great interest to reduce the complexity of the multiuser detectors in order to achieve faster multiuser communication systems. Although the suboptimum detector has much less complexity than the optimum, the detections are made on each code bit of all users through-out every iteration. Selective detection greatly reduces the amount of calculation by re-detecting only the unreliably detected code bits from the second iteration. Simulation results show that the number of detections is significantly reduced, while the performance is maintained. Necessary background information to understand the working principles of the iterative soft cancellation receiver is presented as well. Selective detection may also be used in any other receiver structures with iterative procedures to provide much less complexity. Hence, it is able to handle much more complicated receiver structures, or implement the system to a mobile device where the computational ability is much less than at the base station.
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Schmitt, Lars [Verfasser]. "On Iterative Receiver Algorithms for Concatenated Codes / Lars Schmitt." Aachen : Shaker, 2008. http://d-nb.info/1161312811/34.

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Tervo, V. (Valtteri). "Joint multiuser power allocation and iterative multi-antenna receiver design." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526207292.

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Abstract This thesis concentrates on joint optimization of transmit power allocation and receive filtering in multiuser, multi-antenna communications. Due to the increasing number of wireless devices, the design of energy-efficient communication links is becoming increasingly important. In cellular mobile communications, reducing the average power consumption in uplink transmission is beneficial for users in order to extend battery life and, hence, energy efficiency in general. However, the power consumption of the high power amplifier (HPA) at the transmitter depends on the peak power of the transmission. This thesis focuses on power allocation problems for single-carrier (SC) frequency division multiple access (FDMA) and orthogonal FDMA (OFDMA) transmission assuming iterative reception. The goal in the first scheme presented in this thesis is to reduce the average power consumption by designing a power allocation method that takes into account the convergence properties of an iterative receiver in multiuser uplink communications. The proposed scheme can guarantee that the desired quality of service (QoS) is achieved after a sufficient number of iterations. Reducing the peak-to-average power ratio (PAPR) in any transmission system is beneficial because it allows the use of inexpensive, energy-efficient power amplifiers. The goal in the second scheme presented in this thesis is to control the PAPR of the transmitted signal. Hence, in addition to the QoS constraint, the instantaneous PAPR constraint is derived for SC-FDMA and OFDMA transmission. Moreover, a statistical approach is considered in which the power variance of the transmitted waveform is controlled. The QoS and PAPR constraints are considered jointly and, therefore, the proposed power allocation strategy jointly takes into account the channel quality and the PAPR characteristics of the power amplifier. However, the PAPR constraint can be adopted to any SC-FDMA or OFDMA framework and it is not restricted to the scheme presented in this thesis. The objective of the optimization problems considered throughout the thesis is to minimize the sum power. The majority of the derived constraints are non-convex and therefore, two alternative successive convex approximations (SCAs) are derived for all the non-convex constraints considered. The numerical results show that the proposed power allocation strategies can significantly reduce the average transmission power of users while allowing flexible PAPR control. Hence, the proposed methods can be used to extend battery life for users and especially improve the QoS at the cell edges
Tiivistelmä Väitöskirjassa tutkitaan lähettimessä tapahtuvan tehoallokoinnin sekä vastaanottimessa tapahtuvan signaalin suodatuksen yhteisoptimointia monikäyttöön suunnatussa langattomassa moniantennikommunikaatiossa. Langattomien laitteiden lukumäärän kasvaessa energiatehokkuuden merkitys tiedonsiirtolinkkien suunnittelussa korostuu. Soluihin perustuvassa langattomassa tietoliikenteessä keskimääräisen tehonkulutuksen pienentäminen ylälinkkilähetyksessä (käyttäjältä tukiasemaan) on tärkeää käyttäjän kannalta, sillä se pidentää laitteen akun kestoa. Lähettimen tehovahvistimen (high power amplifier (HPA)) tehonkulutus on kuitenkin verrannollinen lähetyksen huipputehoon. Väitöskirjassa luodaaan uusia menetelmiä sekä vertaillaan tehoallokointia yhden kantoaallon taajuustason monikäyttöön (single carrier frequency division multiple access (SC-FDMA)) ja ortogonaalisen taajuustason monikäyttöön (orthogonal FDMA (OFDMA)) perustuvissa lähetysteknologioissa. Työn ensimmäisessä osiossa tavoitteena on keskimääräisen tehonkulutuksen pienentäminen monen käyttäjän ylälinkkikommunikaatiossa suunnittelemalla tehoallokointimenetelmä, joka ottaa huomioon iteratiivisen vastaanottimen konvergenssiominaisuudet. Työssä ehdotettu menetelmä takaa vastaanotetun informaation halutun laadun (quality of service (QoS)) riittävän monen vastaanottimessa tehdyn iteraation jälkeen. Huipputehon ja keskitehon suhteen (peak to average power ratio (PAPR)) pienentäminen missä tahansa lähetyksessä on hyödyllistä, sillä sen ansiosta voidaan käyttää energiatehokkaampia ja halvempia tehovahvistimia. Työn jälkimmäisessä osiossa tavoitteena on kontrolloida lähetetyn signaalin huipputehon ja keskitehon suhdetta. Työn ensimmäisessä osiossa esitetyn QoS-rajoitteen lisäksi tehoallokointia rajoitetaan symbolisekvenssikohtaisella PAPR-rajoitteella SCFDMA- ja OFDMA-lähetyksessä. Lisäksi esitetään tilastollinen menetelmä, jossa rajoitetaan lähetetyn signaalin tehon varianssia. Kun käytetään yhtäaikaisesti QoS- ja PAPR-rajoitteita, voidaan tiedonsiirtokanavaan suunnitella optimaalinen tehoallokointi ottaen huomioon tehovahvistimen epälineaarisuudet. Työssä esitetty PAPR-rajoite on kuitenkin geneerinen, ja se voidaan sovittaa mihin tahansa SCFDMA- tai OFDMA- optimointikehykseen. Työssä esitettävien optimointiongelmien tavoitteena on käyttäjien summatehon minimointi. Suurin osa työssä esiintyvistä ongelmista on ei-konvekseja, joten siinä esitetään kaksi vaihtoehtoista peräkkäinen konveksi approksimaatio (successive convex approximation (SCA)) -menetelmää kaikille ei-konvekseille rajoitteille. Numeeriset tulokset osoittavat, että esitetyt tehoallokointimenetelmät pienentävät merkittävästi keskimääräistä tehonkulutusta mahdollistaen lisäksi adaptiivisen PAPR-kontrolloinnin. Väitöskirjassa esitettyjen menetelmien avulla voidaan pidentää mobiilikäyttäjien akun kestoa sekä erityisesti parantaa solun reunakäyttäjien palvelun laatua
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Lillie, Andrew G. "Iterative receiver techniques for high data rate indoor wireless communication systems." Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419135.

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Ozgur, Soner. "Reduced Complexity Sequential Monte Carlo Algorithms for Blind Receivers." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10518.

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Monte Carlo algorithms can be used to estimate the state of a system given relative observations. In this dissertation, these algorithms are applied to physical layer communications system models to estimate channel state information, to obtain soft information about transmitted symbols or multiple access interference, or to obtain estimates of all of these by joint estimation. Initially, we develop and analyze a multiple access technique utilizing mutually orthogonal complementary sets (MOCS) of sequences. These codes deliberately introduce inter-chip interference, which is naturally eliminated during processing at the receiver. However, channel impairments can destroy their orthogonality properties and additional processing becomes necessary. We utilize Monte Carlo algorithms to perform joint channel and symbol estimation for systems utilizing MOCS sequences as spreading codes. We apply Rao-Blackwellization to reduce the required number of particles. However, dense signaling constellations, multiuser environments, and the interchannel interference introduced by the spreading codes all increase the dimensionality of the symbol state space significantly. A full maximum likelihood solution is computationally expensive and generally not practical. However, obtaining the optimum solution is critical, and looking at only a part of the symbol space is generally not a good solution. We have sought algorithms that would guarantee that the correct transmitted symbol is considered, while only sampling a portion of the full symbol space. The performance of the proposed method is comparable to the Maximum Likelihood (ML) algorithm. While the computational complexity of ML increases exponentially with the dimensionality of the problem, the complexity of our approach increases only quadratically. Markovian structures such as the one imposed by MOCS spreading sequences can be seen in other physical layer structures as well. We have applied this partitioning approach with some modification to blind equalization of frequency selective fading channel and to multiple-input multiple output receivers that track channel changes. Additionally, we develop a method that obtains a metric for quantifying the convergence rate of Monte Carlo algorithms. Our approach yields an eigenvalue based method that is useful in identifying sources of slow convergence and estimation inaccuracy.
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Fonseca, dos Santos André. "Efficient receiver methods for coded systems under channel uncertainty." Dresden Vogt, 2010. http://d-nb.info/1001706269/04.

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Books on the topic "Iterative receiver"

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Wymeersch, Henk. Iterative Receiver Design. Cambridge University Press, 2007.

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Wymeersch, Henk. Iterative Receiver Design. Cambridge University Press, 2007.

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Wymeersch, Henk. Iterative Receiver Design. Cambridge University Press, 2010.

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Iterative Receiver Design. Cambridge University Press, 2007.

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Wymeersch, Henk. Iterative Receiver Design. Cambridge University Press, 2008.

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Wymeersch, Henk. Iterative Receiver Design. Cambridge University Press, 2007.

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Harford Vargas, Jennifer. Plotting Justice. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190642853.003.0005.

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This chapter explores how the novel can plot out fantasies of justice, using Héctor Tobar’s novel The Tattooed Soldier to demonstrate how the novel can challenge mass impunity in the Americas. The novel’s protagonist takes advantage of the chaos of the Rodney King uprisings in Los Angles to shoot and kill the Guatemalan military soldier who murdered his wife and son and who received counterinsurgency training at the United States’ School of the Americas. These diverse acts of rage against institutionalized impunity are comparatively illuminated in the novel via intersecting plot lines, rotating points of view, disruptive flashbacks, iterative events, and shifting geographies. The chapter further unpacks the political and formal valences of plot, arguing that the novel’s structure is at odds with the two main protagonists’ narrative desires. Though the novel’s revenge plot is resolved, the novel does not resolve the larger plot for justice; the chapter ends by considering alternative means of generating social transformation and attaining justice.
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Advances in Electronics and Electron Physics (Advances in Imaging and Electron Physics). Academic Press, 1989.

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Hawkes, Peter W. Advances in Electronics and Electron Physics (Advances in Imaging and Electron Physics). Academic Press, 1986.

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Hawkes, Peter W. Advances in Electronics and Electron Physics (Advances in Imaging and Electron Physics). Academic Press, 1986.

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Book chapters on the topic "Iterative receiver"

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Biglieri, Ezio, Alessandro Nordio, and Giorgio Taricco. "Space-time coding with iterative receiver interfaces." In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 233–46. Providence, Rhode Island: American Mathematical Society, 2003. http://dx.doi.org/10.1090/dimacs/062/13.

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Xiao, Weijie, Qiong Li, Xinxue Zhao, and Qiang Gao. "Iterative Receiver with Joint Channel Estimation and Decoding in LTE Downlink." In Pervasive Computing and the Networked World, 647–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37015-1_56.

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Claussen, Holger, Hamid Reza Karimi, and Bernard Mulgrew. "A Low Complexity Iterative Receiver based on Successive Cancellation for MIMO." In Mobile and Wireless Communications, 105–12. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35618-1_13.

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Wu, Sheng, Linling Kuang, Xincong Lin, and Baosheng Sun. "Iterative Receiver with Gaussian and Mean-Field Approximation in Massive MIMO Systems." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 300–316. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72823-0_29.

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Wu, Zhihui, Chao Gao, Feng Gao, Junhong Peng, and Jie Wu. "An Iterative Multi-channel DDPSK Receiver for Time-Varying Underwater Acoustic Communications." In Lecture Notes in Electrical Engineering, 1152–60. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8411-4_151.

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Thomas, Joseph, and Evaggelos Geraniotis. "Iterative MMSE Multiuser Detection for Coded CDMA Channels with Multisensor Transmitter and Receiver Arrays." In Multiaccess, Mobility and Teletraffic in Wireless Communications: Volume 4, 107–16. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-5920-4_12.

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Zhang, Yongqiang, Jian Liu, Rui Cao, and Lixin Tian. "Hamming Code Aided Joint Iterative Detection and Decoding Receiver of Polar Coded SCMA System." In Advances in Artificial Intelligence and Security, 458–70. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06767-9_38.

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Bai, Lin, Jinho Choi, and Quan Yu. "MIMO Iterative Receivers." In Low Complexity MIMO Receivers, 143–74. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04984-7_6.

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Bai, Lin, Jinho Choi, and Quan Yu. "Iterative Channel Estimation and Detection." In Low Complexity MIMO Receivers, 215–31. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04984-7_9.

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Bai, Lin, Jinho Choi, and Quan Yu. "Randomized Sampling-Based MIMO Iterative Receivers." In Low Complexity MIMO Receivers, 195–214. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04984-7_8.

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Conference papers on the topic "Iterative receiver"

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Huusko, Jarkko, Juha Karjalainen, and Markku Juntti. "Statistical performance prediction method for an iterative receiver with chase combining." In Iterative Information Processing (ISTC). IEEE, 2010. http://dx.doi.org/10.1109/istc.2010.5613900.

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Choi, Jinho. "Tutorial 1: Iterative Receiver Design." In 2006 10th IEEE Singapore International Conference on Communication Systems. IEEE, 2006. http://dx.doi.org/10.1109/iccs.2006.301357.

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Akhtman, Jos, and Lajos Hanzo. "Iterative Receiver Architectures for MIMO-OFDM." In 2007 IEEE Wireless Communications and Networking Conference. IEEE, 2007. http://dx.doi.org/10.1109/wcnc.2007.157.

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Sendrei, Lukas, Stanislav Marchevsky, Nicola Michailow, and Gerhard Fettweis. "Iterative receiver for clipped GFDM signals." In 2014 24th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2014. http://dx.doi.org/10.1109/radioelek.2014.6828483.

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Park, Sangjoon, Hana Heo, Gyuyeol Kong, and Sooyong Choi. "Iterative receiver based on Kalman filter." In 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2011. http://dx.doi.org/10.1109/mwscas.2011.6026664.

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Rakhimov, Damir, Sai Pavan Deram, Bruno Sokal, Kristina Naskovska, Andre de Almeida, and Martin Haardt. "Iterative Tensor Receiver for MIMO-GFDM systems." In 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2020. http://dx.doi.org/10.1109/sam48682.2020.9104330.

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Mezghani, Amine, Mehdi Rouatbi, and Josef A. Nossek. "An iterative receiver for quantized MIMO systems." In MELECON 2012 - 2012 16th IEEE Mediterranean Electrotechnical Conference. IEEE, 2012. http://dx.doi.org/10.1109/melcon.2012.6196608.

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Man-On Pun, M. Morelli, and C. C. J. Kuo. "A novel iterative receiver for uplink OFDMA." In GLOBECOM '05. IEEE Global Telecommunications Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/glocom.2005.1578244.

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Torrieri, Don, Avinash Mathur, Amitav Mukherjee, and Hyuck M. Kwon. "Iterative EM Estimation Based LDPC CDMA Receiver." In 2006 Fortieth Asilomar Conference on Signals, Systems and Computers. IEEE, 2006. http://dx.doi.org/10.1109/acssc.2006.355163.

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Badiu, Mihai-Alin, Carles Navarro Manchon, Vasile Bota, and Bernard Henri Fleury. "Distributed iterative processing for interference channels with receiver cooperation." In 2012 7th International Symposium on Turbo Codes & Iterative Information Processing (ISTC). IEEE, 2012. http://dx.doi.org/10.1109/istc.2012.6325215.

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Reports on the topic "Iterative receiver"

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Wen, Qingsong, Minzhen Ren, and Xiaoli Ma. Fixed-point Design of the Lattice-reduction-aided Iterative Detection and Decoding Receiver for Coded MIMO Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada586964.

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Zheng, Wanzheng, and Jason Merret. Aerodynamic Survey of Novel eVTOL Configuration Using SU2. Illinois Center for Transportation, August 2022. http://dx.doi.org/10.36501/0197-9191/22-014.

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Abstract:
This report summarizes computational fluid dynamics (CFD) results of electric vertical takeoff and landing (eVTOL) geometries using the SU2 Reynolds-averaged Navier-Stokes (RANS) solver. Geometries were generated based on the Smart Transportation Infrastructure Initiative (STII) Rappor 15th iteration with various rotor-installment solutions. It was found that although open rotors installed on an underwing pylon were superior to shrouded rotors installed in a canoe, the canoe configuration would provide more potential for improvement, and using a canoe door to cover the first rotor opening would reduce the drag experienced by the canoe case below that upon the rod case. Rotor doors were found to be most efficient in reducing drag of the canoe case: Average drag reduction with covering the first rotor and all rotors was 66 and 165 counts, respectively. Changing rotor distributions along the chordwise direction had minimal impact on drag reduction, and placing rotors along the spanwise direction was not advised due to the increase of the projected frontal area. Increasing canoe chord length did not have significant impact on drag reduction; and if rotor doors were implemented, increasing canoe size had negative impact on drag. Rounding rotor edges did not change the aerodynamic performance of the canoe case but promotes vertical air intake when running lifting fans. Drag received by the canoe parabolically correlated to rotor diameter, with 126 counts of drag if the rotor diameter was 0 and 377 counts if the rotor diameter was 2.95 ft. Fuselage and tail added an average 179 counts of drag, and thus the aforementioned differences were still significant in the scale of aerodynamic properties of the full configuration.
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