Academic literature on the topic 'Digital predistortion'

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Journal articles on the topic "Digital predistortion"

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Zhang, Rui, and Zhi Bin Zeng. "Undersampling Digital Predistortion Compensation Technology Based on Broadband Signals." Applied Mechanics and Materials 543-547 (March 2014): 2381–84. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2381.

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Nonlinearity of power amplifier always results in spectrum spreading on input signal. When using digital predistortion technology to compensate power amplifier's nonlinearity, the required sampling frenquence for the output signal of amplifier is times of the original signal. The undersampling predistortion method can reduce the sampling frequency requirements. However, for the broadband signal, due to the significant memory effect of the power amplifier, the performance of undersampling digital predistortion is not satisfactory. In order to improve the undesirable predistortion performamce, this paper presents two kinds of undersampling digital predistortion compensation methods. For different sampling frequencies, the predistortion performances of these two kinds of compensation methods are different.
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Kim, W. J., K. J. Cho, S. P. Stapleton, and J. H. Kim. "Baseband derived RF digital predistortion." Electronics Letters 42, no. 8 (2006): 468. http://dx.doi.org/10.1049/el:20060606.

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Melczarsky, Ilan, Pere L. Gilabert, Valeria Di Giacomo, Eduard Bertran, and Fabio Filicori. "Behavioral modeling and linearization of a millimeter-wave power amplifier." International Journal of Microwave and Wireless Technologies 1, no. 2 (April 2009): 127–36. http://dx.doi.org/10.1017/s1759078709000075.

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The use of digital predistortion for linearizing a millimeter-wave power amplifier (PA) is investigated. A PA operating at 38 GHz is designed using an accurate non-quasi-static transistor model, taking into account both short- and long-term memory effects. A realistic test signal is then used for the identification of a nonlinear auto-regressive moving average (NARMA) behavioral model of the PA. The NARMA-based digital predistorter is then derived and formulated in terms of basic predistortion cells, especially suitable for efficient implementation in an FPGA. The performance of the predistortion solution is preliminarily assessed by means of computer simulations.
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Petushkov, S. V. "ADAPTIVE PREDISTORTION DEVICE OF THE SATELLITE TRANSMITTERS." H&ES Research 12, no. 6 (2020): 11–17. http://dx.doi.org/10.36724/2409-5419-2020-12-6-11-17.

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The improvement of energetic and spectral characteristics of the satellite transmitters which act in the harsh space environment with the help of the predistortion linearization becomes more and more actual task. The proposed adaptive predistortion device is based on the correlation evaluation of the nonlinear distortion level at the output of the power amplifier. The device allows to provide more effective linearization in the conditions with changing characteristics of the satellite transmitter within the lifetime of the satellite at the orbit in difference to the systems with advance tuning. The proposed technical solution has a higher reliability and simplified technical implementation in comparison with the analogs due to lack of the preliminary analog and digital processing of the RF signal. The simplified algorithm which requires lesser logical capacity in the digital microcircuits than conventional adaptive algorithms was developed for the modeling of the adaptive predistortion device. The proposed algorithm of changing the parameters of the predistortion linearizer requires less mathematical calculations within one iteration cycle, which is based on the determination of the cross-correlation function gradient rise direction. The obtained results of proposed predistortion linearizer modeling show that the process of two-dimension adaptation based on the developed algorithm is monosemantic and leads to the recovery of the linearizer’s non-linear characteristics optimal tune. The adaptation process leads to the lowering of the intermodulation distortion at the output of the power amplifier in a few adaptation cycles. It is worth noting that the process of the optimization and selection of the two parameters of the predistortion linearizer in the amplifier flows the same way whatever if the analog of digital implementation of the linearizer is used.
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Brihuega, Alberto, Lauri Anttila, and Mikko Valkama. "Frequency-Domain Digital Predistortion for OFDM." IEEE Microwave and Wireless Components Letters 31, no. 6 (June 2021): 816–18. http://dx.doi.org/10.1109/lmwc.2021.3062982.

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Jeong, Eui-Rim. "Digital Predistortion Technique for MIMO Transmitters." Journal of Korea Information and Communications Society 37C, no. 12 (December 28, 2012): 1289–95. http://dx.doi.org/10.7840/kics.2012.37c.12.1289.

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Yu, Xin, and Hong Jiang. "Digital Predistortion Using Adaptive Basis Functions." IEEE Transactions on Circuits and Systems I: Regular Papers 60, no. 12 (December 2013): 3317–27. http://dx.doi.org/10.1109/tcsi.2013.2265958.

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Wan-Jong Kim, S. P. Stapleton, Jong Heon Kim, and C. Edelman. "Digital predistortion linearizes wireless power amplifiers." IEEE Microwave Magazine 6, no. 3 (September 2005): 54–61. http://dx.doi.org/10.1109/mmw.2005.1511914.

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Gonzalez-Serrano, F. J., J. J. Murillo-Fuentes, and A. Artes-Rodriguez. "GCMAC-based predistortion for digital modulations." IEEE Transactions on Communications 49, no. 9 (2001): 1679–89. http://dx.doi.org/10.1109/26.950354.

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Abdelaziz, Mahmoud, Lauri Anttila, Alberto Brihuega, Fredrik Tufvesson, and Mikko Valkama. "Digital Predistortion for Hybrid MIMO Transmitters." IEEE Journal of Selected Topics in Signal Processing 12, no. 3 (June 2018): 445–54. http://dx.doi.org/10.1109/jstsp.2018.2824981.

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Dissertations / Theses on the topic "Digital predistortion"

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Tallmarken, Manne. "Digital Predistortion for Broadcast FM repeaters." Thesis, KTH, Signalbehandling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53778.

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This thesis presents the design and implementation of a memoryless and adaptive digital predistorter used to linearize a power amplier. Specically, it deals with the implementation of a so-called constantgain predistorter, based on a lookup table, on a digital signal processing board built around an FPGA. The board also has two analog-to-digital converters, two digital-to-analog converters and a PIC microcontroller. By means of a high speed USB interface, input/output data to/from the system can be captured and sent to a PC. The adaptation of the constant-gain predistorter is implemented in Matlab by means of comparing the input and output data. When a new lookup table is ready, it is sent to the board for an update. By stimulating the system with a two-tone signal with center frequency of 162:5 MHzand tone spacing of1 MHz , the third order intermodulation product (IM3) was decreased by28 dB. By stimulating the system with an IS95 CDMA signal with center frequency of 162 :5 MHzand channel width of1:3 MHz , the power of the distortion right next to the channel edges were decreased by 24:7 dB.
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Waegemans, R. "Digital electronic predistortion for optical communications." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/20007/.

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The distortion of optical signals has long been an issue limiting the performance of communication systems. With the increase of transmission speeds the effects of distortion are becoming more prominent. Because of this, the use of methods known from digital signal processing (DSP) are being introduced to compensate for them. Applying DSP to improve optical signals has been limited by a discrepancy in digital signal processing speeds and optical transmission speeds. However high speed Field Programmable Gate Arrays (FPGA) which are sufficiently fast have now become available making DSP experiments without costly ASIC implementation possible for optical transmission experiments. This thesis focuses on Look Up Table (LUT) based digital Electronic Predistortion (EPD) for optical transmission. Because it is only one out of many possible implementations of EPD, it has to be placed in context with other EPD techniques and other distortion combating techniques in general, especially since it is possible to combine the different techniques. Building an actual transmitter means that compromises and decisions have to be made in the design and implementation of an EPD based system. These are based on balancing the desire to achieve optimal performance with technological and economic limitations. This is partly done using optical simulations to asses the performance. This thesis describes a novel experimental transmitter that has been built as part of this research applying LUT based EPD to an optical signal. The experimental transmitter consists of a digital design (using a hardware description language) for a pair of FPGAs and an analogue optical/electronic setup including two standard DAC integrated circuits. The DSP in the transmitter compensated for both chromatic dispersion and self phase modulation. We achieved transmission of 10.7 Gb/s non-return-to-zero (NRZ) signals with a +4 dBm launch power over 450 km keeping the required optical-signal-to-noise-ratio (OSNR) for a bit-error-rate of 2x10^{-3} below 11 dB. In doing so we showed experimentally, for the first time, that nonlinear effects can be compensated with this approach and that the combination of FPGA-DAC is a viable approach for an experimental setup.
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Karlsson, Robert. "Digital predistortion of semi-linear power amplifier." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2617.

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In this thesis, a new way of using predisortion for linearization of power amplifiers is evaluated. In order to achieve an adequate power level for the jamming signal, power amplifiers are used in military jamming systems. Due to the nonlinear characteristic of the power amplifier, distortion will be present at the output. As a consequence, unwanted frequencies are subject to jamming. To decrease the distortion, linearization of the power amplifier is necessary.

In the system of interest, a portion of the distorted power amplifier output signal is fed back. Using this measurement, a predistortion signal is synthesized to allow suppression of the unwanted frequency components. The predistortion signal is updated a number of times in order to achieve a good outcome. Simulations are carried out in Matlab for testing of the algorithm.

The evaluation of the new linearization technique shows promising results and that good suppression of distortion components is achieved. Furthermore, new predistortion features are possible to implement, such as predistorsion in selected frequency bands. However, real hardware testing needs to be carried out to confirm the results.

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Ba, Seydou Nourou. "Efficient digital baseband predistortion for modern wireless handsets." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31760.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.
Committee Chair: Altunbasak, Yucel; Committee Co-Chair: Zhou, G. Tong; Committee Member: Al-Regib, Ghassan; Committee Member: Kenney, James Stevenson; Committee Member: Ma, Xiaoli; Committee Member: Pan, Ronghua. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Johnson, Daniel Eric. "Adaptive Digital Predistortion with Applications for LMDS Systems." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/34964.

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A limiting factor in the widespread deployment of LMDS systems is the limited distance of current systems. Rain attenuation and limited transmitter power are the primary causes of the limited distance. Adaptive digital predistortion is presented as a method of increasing effective transmitter power.

A background on LMDS link design, non-linear amplification, and predistortion is presented to assist the reader. A developed simulation uses AM-AM and AM-PM characteristics obtained from laboratory measurements of a 28 GHz amplifier to determine the effect of several predistortion implementation options and to confirm the feasibility of the proposed architecture.

The potential impact of this predistortion architecture on LMDS system design is considered. The presented multi-stage predistortion architecture is found to be capable of implementation at Msymbol/second rates utilizing a FPGA or custom IC and a moderate speed digital signal processor.
Master of Science

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Ding, Lei. "Digital predistortion of power amplifiers for wireless applications." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-04022004-020955/unrestricted/ding%5Flei%5F200405%5Fphd.pdf.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2004.
J. Stevenson Kenney, Committee Member ; G. Tong Zhou, Committee Chair ; W. Marshall Leach, Committee Member ; Ye (Geoffrey) Li, Committee Member ; Jianmin Qu, Committee Member. Includes bibliographical references (leaves 100-103).
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Giesbers, David Mathew. "Adaptive digital polynomial predistortion linearisation for RF power amplifiers." Thesis, University of Canterbury. Electrical and Computer Engineering, 2008. http://hdl.handle.net/10092/2044.

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Development of linear modulation schemes has opened the way for spectrally efficient, high speed digital communication systems for voice and data applications. A trend has been to develop ultra wide and wide bandwidth modulation formats, which has meant feedback linearisation schemes (both analogue and digital) are no longer effective. This has in turn led to a number of approaches that involve predistorting the signal prior to amplification, with a characteristic that is the inverse to that of the power amplifier (PA). This thesis presents a polynomial based predistortion for linearisation of an RF PA. The predistortion characteristic is adaptive, using the LMS algorithm to minimise the mean squared error between output of the PA, and a scaled version of the baseband signal. This system can reduce third-order intermodulation by 40 dB when running in real time.
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Barradas, Filipe Miguel Esturrenho. "Modeling and digital predistortion of wireless radio frequency transmitters." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/18661.

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Doutoramento em Engenharia Electrotécnica
Nos atuais sistemas de telecomunicações, os transmissores de rádio-frequência são desenvolvidos tendo maioritariamente em conta a eficiência da conversão da potência fornecida da fonte em potência de rádio-frequência. Este tipo de desenho resulta em amplificadores de potência com características de transmissão não-lineares, que distorcem severamente o envelope de informação no processo de amplificação, gerando distorção fora da banda. Para corrigir este problema utiliza-se um processo de compensação não linear, sendo que a pré-distorção digital se tem favorecido pela sua flexibilidade e precisão. Este método é tipicamente aplicado de uma forma cega, por força bruta até se obter a compensação desejada. No entanto, quando o método se mostra ineficaz, como se verificou em amplificadores de potência baseados em transístores de nitreto de gálio, é difícil saber o que modificar nos sistemas para os tornar de novo úteis. De forma a compreender e desenhar sistemas de pré-distorção digital robustos é necessário, por um lado, perceber o comportamento dos amplificadores de rádio-frequência, por outro, perceber as limitações e relações entre os modelos digitais e o comportamento real do amplificador. Nesse sentido, esta tese explora e descreve estas relações de forma a suportar a escolha de modelos de pré-distorção, desenvolve novos modelos baseados no comportamento dos transístores, e propõe métodos de caracterização para os amplificadores de RF.
In current telecommunication systems, the main concern when developing the radio frequency transmitter is power efficiency. This type of design generally leads to a highly nonlinear transmission characteristic, mainly due to the radio frequency power amplifier. This nonlinear transmission severely distorts the information envelope, leading to spectral regrowth, out-of-band distortion. To correct this problem a nonlinear compensation process is employed. For this application, digital predistortion is generally favored for its flexibility and accuracy. Digital predistortion is mostly applied in a blind manner, using brute force until the desired compensation is achieved. Because of this, when the method fails, as it has in gallium nitride based power amplifiers, it is difficult to modify the system to achieve the desired results. To understand and design robust predistortion systems, it is both necessary to have knowledge of the power amplifiers’ behavior, on one hand, and understand the limitations and relations between the digital models and these behaviors, on the other. To do this, this thesis explores and describes these relationships, granting support to the digital predistortion model choice, it further develops new predistortion models based on the physics of the transistors’ behaviors, and it proposes methods for the characterization of radio frequency power amplifiers.
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Huang, Jeffrey B. "Exploring predistortion training algorithms in a Cartesian feedback-trained digital predistortion system for RF power amplifier linearization." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36799.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 117-118).
A Cartesian feedback-trained digital predistortion system for RF power amplifier linearization offers many advantages with its combination of two different linearization techniques. This thesis describes such a system, focusing on the important issue of predistorter training. It examines and analyzes in great detail the promising loop filter pre-charging optimization and the tradeoffs associated with such training, developing a model that provides many valuable system design insights. In order establish a means to experimentally verify the theory and explore predistortion training algorithms, this thesis presents the design, development, and characterization of a mock-up prototype that models the essential features of the actual Cartesian feedback-trained digital predistortion system. The mock-up serves as a standalone proof-of-concept system that demonstrates the benefits and tradeoffs of loop filter pre-charging in predistorter training. It confirms the theory while also revealing practical issues pertaining to the limits on performance.
by Jeffrey B. Huang.
M.Eng.
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Mengozzi, Mattia. "Direct Learning Power Amplifier Digital Predistortion using Multi-Objective Optimization." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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All’interno di una stazione radio base l’amplificatore di potenza a radiofrequenza (RF PA) è di gran lunga l’elemento più importante dal punto di vista energetico, dato che il suo compito è quello di fornire al segnale la potenza necessaria per essere trasmesso. Di conseguenza sono state sviluppate numerose tecniche per aumentare l’efficienza e la linearità dei PA. Ad esempio, le architetture di Envelope Tracking (ET) migliorano l’efficienza complessiva del sistema modulando la tensione di alimentazione in banda base (LF), mentre la digital predistortion (DPD) ne incrementa la linearità distorcendo il segnale RF in ingresso. In generale, possiamo dire che il comportamento di un transistor dipende dalle terminazioni che ad esso vengono mostrate alla frequenza della portante e alle sue armoniche, inclusa la dc. L’obiettivo della tesi è quello di fornire un approccio generale al problema dell’ottimizzazione di un RF PA: in cui lo scopo sia manipolare le terminazioni del dispositivo per massimizzare una o più figure di merito (FoM), come la potenza media traferita al carico, l'efficienza e linearità complessiva. Quindi viene proposto un metodo di ottimizzazione numerica multiobiettivo che ottimizzi una o più FoM di un PA manipolando il segnale si sorgente RF e quello di alimentazione LF. Il problema viene trattato come un metodo generalizzato di DPD, dove i coefficienti complessi del predistorsore rappresentano le variabili manipolate dall'algoritmo di ottimizzazione numerica. Vengono quindi mostrati dei risultati di simulazione, comparando le prestazioni ottenute con questo metodo con quelle di un ET PA linearizzato con DPD basata su un'architettura di learning indiretto (ILA DPD). Infine, vengono mostrati dei risultati preliminari di misura su un PA al nitruro di gallio (GaN), in cui viene ottimizzato solo segnale di sorgente RF. I risultati raggiunti mostrano come questa tecnica possa superare le prestazioni ottenibili con una classica ILA DPD.
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Books on the topic "Digital predistortion"

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Xu, Xiangqing. A pipelined baseband digital predistortion architecture for RF amplifier linearization. 1995.

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Book chapters on the topic "Digital predistortion"

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Li, Lin, Amanullah Ghazi, Jani Boutellier, Lauri Anttila, Mikko Valkama, and Shuvra S. Bhattacharyya. "Evolutionary Multiobjective Optimization for Digital Predistortion Architectures." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 498–510. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40352-6_41.

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Xie, Dian, and Zhibin Zeng. "A New Adaptive Method for Digital Predistortion Using NLMS and RLS." In Communications in Computer and Information Science, 261–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31965-5_31.

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Dickshaw, Divya, and P. Shanthi. "Performance Analysis of Digital Predistortion on Orthogonal Frequency Division Multiplexing Systems." In Sustainable Communication Networks and Application, 183–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34515-0_19.

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Benosman, Meryem M., Hmaeid Shaiek, Yassin Bendimerad, Rafik Zayani, Daniel Roviras, and Fethi T. Bendimerad. "Low Complexity Neural Network Based Digital Predistortion for Memory Power Amplifiers." In Mobile, Secure, and Programmable Networking, 235–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67550-9_16.

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Li, Ke, and Hairan Shi. "A Generalized Sampling Based Method for Digital Predistortion of RF Power Amplifiers." In Lecture Notes in Electrical Engineering, 953–59. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_111.

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Zeng, Zhibin, and Dian Xie. "A New Adaptive Algorithm for Digital Predistortion Using GNGD with Momentum Factor." In Communications in Computer and Information Science, 446–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31965-5_52.

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Yu, Xin, Georg Fischer, and Andreas Pascht. "Stability Enhancement of Digital Predistortion Through Stationary Iterative Methods to Solve System of Equations." In Electromagnetics and Network Theory and their Microwave Technology Applications, 263–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18375-1_19.

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Feng, Xiaoning, Peng Zhang, and Tianxiao Cui. "Effects of Even-Order Nonlinear Terms and Oversampling Rate on Digital Baseband Predistortion Linearization." In Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering, 53–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31698-2_8.

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Baudoin, Genevieve, Olivier Venard, and Dang-Kien Germain Pham. "Digital predistortion." In Digitally Enhanced Mixed Signal Systems, 65–123. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbcs040e_ch3.

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"Baseband Digital Predistortion." In Behavioral Modeling and Predistortion of Wideband Wireless Transmitters, 209–46. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119004424.ch9.

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Conference papers on the topic "Digital predistortion"

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Lei Ding, Zigang Yang, and Hardik Gandhi. "Concurrent dual-band digital predistortion." In 2012 IEEE/MTT-S International Microwave Symposium - MTT 2012. IEEE, 2012. http://dx.doi.org/10.1109/mwsym.2012.6259532.

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Brihuega, Alberto, Lauri Anttila, Mahmoud Abdelaziz, and Mikko Valkama. "Digital Predistortion in Large-Array Digital Beamforming Transmitters." In 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2018. http://dx.doi.org/10.1109/acssc.2018.8645137.

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Wu, Shanying, S. f. Hau, and Yi Zhao. "An adaptive algorithm for digital predistortion." In 2006 10th IEEE Singapore International Conference on Communication Systems. IEEE, 2006. http://dx.doi.org/10.1109/iccs.2006.301452.

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Shi, Zhan, Jianmin Zhou, Hui Li, and Jianming Wu. "Performance analysis for scalar digital predistortion." In 2013 IEEE Topical Conference on Power Amplifiers for Wireless and Radio Applications (PAWR). IEEE, 2013. http://dx.doi.org/10.1109/pawr.2013.6490186.

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Song, Jiajia, and Yuelin Ma. "Wideband platform for digital predistortion validation." In 2011 International Conference on Electronics, Communications and Control (ICECC). IEEE, 2011. http://dx.doi.org/10.1109/icecc.2011.6067874.

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Shi, Zhan, Jianmin Zhou, Hui Li, and Jianming Wu. "Performance analysis for scalar digital predistortion." In 2013 IEEE Radio and Wireless Symposium (RWS). IEEE, 2013. http://dx.doi.org/10.1109/rws.2013.6486650.

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Amiri, M. V., M. Helaoui, and F. M. Ghannouchi. "Streamlined MIMO cross-over digital predistortion." In 2014 IEEE Radio and Wireless Symposium (RWS). IEEE, 2014. http://dx.doi.org/10.1109/rws.2014.6830132.

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Smirnov, A. V. "Optimization of Digital Predistortion with Memory." In 2018 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO). IEEE, 2018. http://dx.doi.org/10.1109/synchroinfo.2018.8456943.

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Lou, Jingyi, and Xiaoxu Qu. "Theoretical Investigation of Digital Predistortion System." In 2015 International Industrial Informatics and Computer Engineering Conference. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/iiicec-15.2015.255.

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Wu, Yibo, Ulf Gustavsson, Alexandre Graell i. Amat, and Henk Wymeersch. "Residual Neural Networks for Digital Predistortion." In GLOBECOM 2020 - 2020 IEEE Global Communications Conference. IEEE, 2020. http://dx.doi.org/10.1109/globecom42002.2020.9322327.

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