Relevant bibliographies by topics / Decision Feedback Equalizer

Academic literature on the topic 'Decision Feedback Equalizer'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Decision Feedback Equalizer.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Decision Feedback Equalizer"

1

Tuzlukov, Vyacheslav. "Generalized Receiver with Decision-Feedback Equalizer for Multicode Wideband DS-CDMA." WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS 21 (September 1, 2022): 202–22. http://dx.doi.org/10.37394/23201.2022.21.23.

Full text
Abstract:
In the present paper, a chip-level minimum mean-square-error (MMSE) decision-feedback equalizer for the downlink receiver of multicode wideband direct sequence code-division multiple access (DS-CDMA) wireless communication systems over frequency-selective channels is investigated. Firstly, the MMSE per sym-bol achievable by an optimal decision-feedback equalizer is derived, assuming that all interchip interference (ICI) of the desired user can be eliminated. The MMSE of the decision-feedback equalizer is always less than or at most equal to that of linear equalizers. When all the active codes belong to the desired user, the ideal deci-sion-feedback equalizer is able to eliminate multicode interference and approach the performance of the single-code case at high signal-to-noise ratio (SNR) range. Secondly, we apply the hypothesis-feedback equalizer or tentative-chip decision-feedback equalizer in the multicode scenario. The tentative-chip decision-feedback equ-alizer outperforms the chip-level linear equalizer and the decision-feedback equalizer that only feeds back the symbols already decided. The performance gain increases with SNR, but decreases with the number of active codes owned by the other users. When all the active codes are assigned to the desired user, the tentative-chip decision-feedback equalizer eliminates the multicode interference and achieves single-user performance at the high SNR, similarly, to the ideal decision-feedback equalizer. The asymptotic performance of the decision-feed-back equalizer is confirmed through the bit error rate (BER) simulation over various channels.
APA, Harvard, Vancouver, ISO, and other styles
2

Bergmans, J. W. M., J. O. Voorman, and H. W. Wong-Lam. "Dual decision feedback equalizer." IEEE Transactions on Communications 45, no. 5 (May 1997): 514–18. http://dx.doi.org/10.1109/26.592548.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sewter, Jonathan, and Anthony Chan Carusone. "Equalizer Architectures for 40-Gb/s Optical Systems Limited by Polarization-Mode Dispersion." International Journal of High Speed Electronics and Systems 15, no. 03 (September 2005): 549–66. http://dx.doi.org/10.1142/s0129156405003326.

Full text
Abstract:
An analysis of first-order polarization-mode dispersion (PMD) effects in a 40-Gb/s optical system is used to compare different electronic equalizer architectures as potential PMD compensators. Both linear and nonlinear equalizers are considered employing symbol-spaced and fractionally-spaced taps. It is found that a decision feedback equalizer consisting of a 3-tap symbol-spaced feedforward equalizer and a 1-tap feedback equalizer effectively eliminates PMD as the dominant length-limiting factor in most 40-Gb/s optical systems. Such an equalizer would entail less complexity than several previously reported electronic PMD compensators.
APA, Harvard, Vancouver, ISO, and other styles
4

Kongara, G., D. P. Taylor, and P. A. Martin. "Space-Frequency Decision Feedback Equalizer." IEEE Transactions on Vehicular Technology 60, no. 4 (May 2011): 1626–39. http://dx.doi.org/10.1109/tvt.2011.2131159.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

HANUMOLU, PAVAN KUMAR, GU-YEON WEI, and UN-KU MOON. "EQUALIZERS FOR HIGH-SPEED SERIAL LINKS." International Journal of High Speed Electronics and Systems 15, no. 02 (June 2005): 429–58. http://dx.doi.org/10.1142/s0129156405003259.

Full text
Abstract:
In this tutorial paper we present equalization techniques to mitigate inter-symbol interference (ISI) in high-speed communication links. Both transmit and receive equalizers are analyzed and high-speed circuits implementing them are presented. It is shown that a digital transmit equalizer is the simplest to design, while a continuous-time receive equalizer generally provides better performance. Decision feedback equalizer (DFE) is described and the loop latency problem is addressed. Finally, techniques to set the equalizer parameters adaptively are presented.
APA, Harvard, Vancouver, ISO, and other styles
6

Arie, Dana, and Gilad Katz. "Electrical Equalization Analysis of PAM-4 Transmission in Short-Reach Optical Systems." Applied Sciences 12, no. 4 (February 21, 2022): 2255. http://dx.doi.org/10.3390/app12042255.

Full text
Abstract:
Inclusive and intensive performance analysis of electrical equalizers in a short-reach optical system using four-level pulse amplitude modulation (PAM-4) is presented in this paper. Two equalizers are used—a feedforward equalizer and decision feedback equalizer using the least mean square algorithm. The sensitivity to cut-off frequency for the transmitter and receiver filters, fiber length and number of equalizers taps in the means of the bit error rate vs. optical input power are shown. The analysis reveals the considerable impact of the filters’ bandwidth, particularly in the receiver, on the equalizer performance. These results and their reasons are analyzed and broadly discussed.
APA, Harvard, Vancouver, ISO, and other styles
7

Kim, D. W., S. H. Han, M. S. Eun, J. S. Choi, and Y. S. Cho. "An adaptive decision feedback equalizer using error feedback." IEEE Transactions on Consumer Electronics 42, no. 3 (1996): 468–77. http://dx.doi.org/10.1109/30.536144.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Goupil, Alban, and Jacques Palicot. "An efficient blind decision feedback equalizer." IEEE Communications Letters 14, no. 5 (May 2010): 462–64. http://dx.doi.org/10.1109/lcomm.2010.05.092150.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Chen, S., B. Mulgrew, and S. McLaughlin. "Adaptive Bayesian equalizer with decision feedback." IEEE Transactions on Signal Processing 41, no. 9 (1993): 2918–27. http://dx.doi.org/10.1109/78.236513.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Zhang, Sumin, Shu Li, and Donglin Su. "Adaptive support vector machine decision feedback equalizer." Journal of Systems Engineering and Electronics 22, no. 3 (June 2011): 452–61. http://dx.doi.org/10.3969/j.issn.1004-4132.2011.03.013.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Decision Feedback Equalizer"

1

Senol, Sinan. "Performance Comparison Of Adaptive Decision Feedback Equalizer And Blind Decision Feedback Equalizer." Master's thesis, METU, 2004. http://etd.lib.metu.edu/upload/1023746/index.pdf.

Full text
Abstract:
The Decision Feedback Equalizer (DFE) is a known method of channel equalization which has performance superiority over linear equalizer. The best performance of DFE is obtained, commonly, with training period which is used for initial acquisiton of channel or recovering changes in the channel. The training period requires a training sequence which reduces the bit transmission rate or is not possible to send in most of the situations. So, it is desirable to skip the training period. The Unsupervised (Blind) DFE (UDFE) is such a DFE scheme which has no training period. The UDFE has two modes of operation. In one mode, the UDFE uses Constant Modulus Algorithm (CMA) to perform channel acquisition, blindly. The other mode is the same as classical decision-directed DFE. This thesis compares the performances of the classical trained DFE method and the UDFE. The performance comparison is done in some channel environments with the problem of timing error present in the received data bearing signal. The computer aided simulations are done for two stationary channels, a time-varying channel and a frequency selective Rayleigh fading channel to test the performance of the relevant equalizers. The test results are evaluted according to mean square error (MSE), bit-error rate (BER), residual intersymbol interference (RISI) performances and equalizer output diagrams. The test results show that the UDFE has an equal or, sometimes, better performance compared to the trained DFE methods. The two modes of UDFE enable it to solve the absence of training sequence.
APA, Harvard, Vancouver, ISO, and other styles
2

Chandramouli, Soumya. "A Novel Analog Decision-Feedback Equalizer in CMOS for Serial 10-Gb/sec Data Transmission Systems." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19847.

Full text
Abstract:
This dissertation develops an unclocked receiver analog decision-feedback equalizer (ADFE) circuit architecture and topology and implements the circuit in 0.18-um CMOS to enable 10-Gb/sec serial baseband data transmission over FR-4 backplane and optical fibre. The ADFE overcomes the first feedback-loop latency challenge of traditional digital and mixed-signal DFEs by separating data re-timing from equalization and also eliminates the need for clock-recovery prior to decision-feedback equalization. The ADFE enables 10-Gb/sec decision-feedback equalization using a 0.18-um CMOS process, the first to do so to the author s knowledge. A tuneable current-mode-logic (CML) feedback-loop is designed to enable first post-cursor cancellation for a range of data-rates and to have external control over loop latency over variations in process, voltage and temperature. CML design techniques are used to minimize current consumption and achieve the required voltage swing for decision-feedback to take place. The all-analog equalizer consumes less power and area than comparable state-of-the art DFEs. The ADFE is used to compensate inter-symbol interference (ISI) for 20 inches of FR-4 backplane and 300 m of multi-mode fibre at 10-Gb/sec. The ADFE also extends the reach of single-mode fibre at 10-Gb/sec to 120 km. The work described in this dissertation advances the state-of-the-art in equalization solutions for multi-Gb/sec serial data transmission and can find applications in several of the 10-Gb/sec Ethernet standards that have been approved recently. The contributions of this work toward future research are also discussed.
APA, Harvard, Vancouver, ISO, and other styles
3

Xiaoqi, Han. "Nonlinear Equalization Based on Decision Feedback Equalizer for Optical Communication System." Miami University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=miami1386170540.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Nassr, Husam, and Kurt Kosbar. "PERFORMANCE EVALUATION FOR DECISION-FEEDBACK EQUALIZER WITH PARAMETER SELECTION ON UNDERWATER ACOUSTIC COMMUNICATION." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/626999.

Full text
Abstract:
This paper investigates the effect of parameter selection for the decision feedback equalization (DFE) on communication performance through a dispersive underwater acoustic wireless channel (UAWC). A DFE based on minimum mean-square error (MMSE-DFE) criterion has been employed in the implementation for evaluation purposes. The output from the MMSE-DFE is input to the decoder to estimate the transmitted bit sequence. The main goal of this experimental simulation is to determine the best selection, such that the reduction in the computational overload is achieved without altering the performance of the system, where the computational complexity can be reduced by selecting an equalizer with a proper length. The system performance is tested for BPSK, QPSK, 8PSK and 16QAM modulation and a simulation for the system is carried out for Proakis channel A and real underwater wireless acoustic channel estimated during SPACE08 measurements to verify the selection.
APA, Harvard, Vancouver, ISO, and other styles
5

Adnan, Rubyet. "Blind Equalization for Tomlinson-Harashima Precoded Systems." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1130.

Full text
Abstract:
At a communications receiver the observed signal is a corrupted version of the transmitted signal. This distortion in the received signal is due to the physical characteristics of the channel, including multipath propagation, the non-idealities of copper wires and impulse noise. Equalization is a process to combat these distortions in order to recover the original transmitted signal. Roughly stated, the equalizer tries to implement the inverse transfer function of the channel while taking into account the channel noise. The equalizer parameters can be tuned to this inverse transfer function using an adaptive algorithm. In many cases, the algorithm uses a training sequence to drive the equalizer parameters to the optimum solution. But, for time-varying channels or multiuser channels the use of a training sequence is inefficient in terms of bandwidth, as bandwidth is wasted due to the periodic re-transmission of the training sequence. A blind equalization algorithm is a practical method to eliminate this training sequence. An equalizer adapted using a blind algorithm is a key component of a bandwidth efficient receiver for broadcast and point-to-multipoint communications. The initial convergence performance of a blind adaptive equalizer depends on the higher-order statistics of the transmitted signal. In modern digital systems, Tomlinson-Harashima precoding (THP) is often used for signal shaping and to mitigate the error propagation problem of a decision feedback equalizer (DFE). The concept of THP comes from pre-equalization. In fact, it is a nonlinear form of pre-equalization, which bounds the higher-order statistics of the transmitted signal. But, THP and blind equalization are often viewed as incompatible equalization techniques. In this research, we give multiple scenarios where blind equalization of a THP-encoded signal might arise. With this motivation we set out to answer the question, can a blind equalizer successfully acquire a THP-encoded signal? We investigate the combination of a Tomlinson-Harashima precoder on the transmitter side and a blind equalizer on the receiver side. By bounding the kurtosis of the THP-encoded signal, we show that THP actually aids the initial convergence of blind equalization. We find that, as the symbol constellation size increases, the THP-encoded signal kurtosis approaches that of a uniform distribution, not a Gaussian. We investigate the compatibility of blind equalization with THP-encoded signals for both SISO and MIMO systems. In a SISO system, conventional blind algorithms can be used to counter the distortions introduced in the received signal. However, in a MIMO system with multiple users, the other users act as interferers on the desired user's signal. Hence, modified blind algorithms need to be applied to mitigate these interferers. For both SISO and MIMO systems, we show that the THP encoder ensures that the signal distribution approaches a non-Gaussian distribution. Using Monte Carlo simulations, we study the effects of Tomlinson-Harashima precoding on the performance of Bussgang-type blind algorithms and verify our theoretical analysis. The major contributions of this thesis are: • A demonstration that a blind equalizer can successfully acquire a THP-encoded signal for both SISO and MIMO systems. We show that THP actually aids blind equalization, as it ensures that the transmitted signal is non-Gaussian. • An analytical quantification of the effects of THP on the transmitted signal statistics. We derive a novel bound on the kurtosis of the THP-encoded signal. • An extension of the results from a single-user SISO scenario to multiple users and a MIMO scenario. We demonstrate that our bound and simulated results hold for these more general cases. Through our work, we have opened the way for a novel application of training sequence-less equalization: to acquire and equalize THP-encoded signals. Using our proposed system, periodic training sequences for a broadcast or point-to-multipoint system can be avoided, improving the bandwidth efficiency of the transceiver. Future modem designs with THP encoding can make use of our advances for bandwidth efficient communication systems.
APA, Harvard, Vancouver, ISO, and other styles
6

Wickert, Mark, Shaheen Samad, and Bryan Butler. "AN ADAPTIVE BASEBAND EQUALIZER FOR HIGH DATA RATE BANDLIMITED CHANNELS." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604050.

Full text
Abstract:
ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California
Many satellite payloads require wide-band channels for transmission of large amounts of data to users on the ground. These channels typically have substantial distortions, including bandlimiting distortions and high power amplifier (HPA) nonlinearities that cause substantial degradation of bit error rate performance compared to additive white Gaussian noise (AWGN) scenarios. An adaptive equalization algorithm has been selected as the solution to improving bit error rate performance in the presence of these channel distortions. This paper describes the design and implementation of an adaptive baseband equalizer (ABBE) utilizing the latest FPGA technology. Implementation of the design was arrived at by first constructing a high fidelity channel simulation model, which incorporates worst-case signal impairments over the entire data link. All of the modem digital signal processing functions, including multirate carrier and symbol synchronization, are modeled, in addition to the adaptive complex baseband equalizer. Different feedback and feed-forward tap combinations are considered as part of the design optimization.
APA, Harvard, Vancouver, ISO, and other styles
7

Liu, Yizhou. "ELECTRICAL EQUALIZATION FOR MULTIMODE FIBER SYSTEMS." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1484004535118825.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

McGinty, Nigel, and nigel mcginty@defence gov au. "Reduced Complexity Equalization for Data Communication." The Australian National University. Research School of Information Sciences and Engineering, 1998. http://thesis.anu.edu.au./public/adt-ANU20050602.122741.

Full text
Abstract:
Optimal decision directed equalization techniques for time dispersive communication channels are often too complex to implement. This thesis considers reduced complexity decision directed equalization that lowers complexity demands yet retains close to optimal performance. The first part of this dissertation consists of three reduced complexity algorithms based on the Viterbi Algorithm (VA) which are: the Parallel Trellis VA (PTVA); Time Reverse Reduced State Sequence Estimation (TR-RSSE); and Forward-Backward State Sequence Detection (FBSSD). The second part of the thesis considers structural modifications of the Decision Feedback Equalizer (DFE), which is a special derivative of the VA, specifically, optimal vector quantization for fractionally spaced DFEs, and extended stability regions for baud spaced DFEs using passivity analysis are investigated.¶ For a special class of sparse channels the VA can be decomposed over a number of independent parallel trellises. This decomposition will be called the Parallel Trellis Viterbi Algorithm and can have lower complexity than the VA yet it retains optimal performance. By relaxing strict sparseness constraints on the channel a sub-optimal approach is proposed which keeps complexity low and obtains good performance.¶ Reduced State Sequence Estimation (RSSE) is a popular technique to reduce complexity. However, its deficiency can be the inability to adequately equalize non-minimum phase channels. For channels that have energy peaks in the tail of the impulse response (post-cursor dominant) RSSE's complexity must be close to the VA or performance will be poor. Using a property of the VA which makes it invariant to channel reversal, TR-RSSE is proposed to extend application of RSSE to post-cursor dominant channels.¶ To further extend the class of channels suitable for RSSE type processing, FBSSD is suggested. This uses a two pass processing method, and is suited to channels that have low energy pre and post-cursor. The first pass generates preliminary estimates used in the second pass to aid the decision process. FBSSD can range from RSSE to TR-RSSE depending on parameter settings.¶ The DFE is obtained when the complexity of RSSE is minimized. Two characterizing properties of the DFE, which are addressed in this thesis, are feedback and quantization. A novel fractionally spaced (FS) DFE structure is presented which allows the quantizer to be generalized relative to the quantizer used in conventional FS-DFEs. The quantizer can be designed according to a maximum a posteriori criterion which takes into account a priori statistical knowledge of error occurrences. A radically different quantizer can be obtained using this technique which can result in significant performance improvements.¶ Due to the feedback nature of the DFE a form of stability can be considered. After a decision error occurs, a stable DFE will, after some finite time and in the absence of noise, operate error free. Passivity analysis provides sufficient conditions to determine a class of channels which insures a DFE will be stable. Under conditions of short channels and small modulation alphabets, it is proposed that conventional passivity analysis can be extended to account for varying operator gains, leading to weaker sufficient conditions for stability (larger class of channels).
APA, Harvard, Vancouver, ISO, and other styles
9

Gunning, Dan, and Pontus Jernberg. "Estimation of Inter-Cell Interference in 3G Communication Systems." Thesis, Linköpings universitet, Reglerteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71156.

Full text
Abstract:
In this thesis the telecommunication problem known as inter-cell interference is examined. Inter-cell interference originates from users in neighboring cells and affects the users in the own cell. The reason that inter-cell interference is interesting to study is that it affects the maximum data-rates achievable in the 3G network. By knowing the inter-cell interference, higher data-rates can be scheduled without risking cell-instability. An expression for the coupling between cells is derived using basic physical principles. Using the expression for the coupling factors a nonlinear model describing the inter-cell interference is developed from the model of the power control loop commonly used in the base stations. The expression describing the coupling factors depends on the positions of users which are unknown. A quasi decentralized method for estimating the coupling factors using measurements of the total interference power is presented. The estimation results presented in this thesis could probably be improved by using a more advanced nonlinear filter, such as a particle filter or an Extended Kalman filter, for the estimation. Different expressions describing the coupling factors could also be considered to improve the result.
APA, Harvard, Vancouver, ISO, and other styles
10

Mendes, Filho João. "Sobre equalizadores autodidatas de decisão realimentada aplicados a sistemas multiusuário." Universidade Presbiteriana Mackenzie, 2007. http://tede.mackenzie.br/jspui/handle/tede/1450.

Full text
Abstract:
Made available in DSpace on 2016-03-15T19:37:53Z (GMT). No. of bitstreams: 1 Joao Mendes Filho.pdf: 3436374 bytes, checksum: c1e27ed8da5440d5715cdfb24bb7aa6a (MD5) Previous issue date: 2007-01-24
Fundo Mackenzie de Pesquisa
Due to the growing demand for mobile communications, adaptive equalizers play an important role for enhancing the efficiency of data transmission. In this scenario, the Decision Feedback Equalizer (DFE) stands out. It presents a favorable tradeoff between computational cost and efficient behavior, mainly when compared to Linear Transversal Equalizer. In this work, the blind adaptation of DFE is investigated for the single and multiuser cases. In the single user case, the perfect equalization conditions for the DFE are revisited, considering the absence of noise and feedback of correct decisions. Assuming the joint blind adaptation of the DFE's feedforward and feedback filters, two stochastic gradient algorithms are also revisited. The first is based on the Constant Modulus cost function, subjected to a constraint to avoid degenerate solutions. The second considers the minimization of a cost function that takes into account the probability density function of the equalizers's output. This latter, known in the literature as the Soft Decision-Directed (SDD) algorithm, was proposed for the recovery of signals based on the Quadrature Amplitude Modulation (QAM). From the division of the complex plane into regions containing 4-QAM type constellations, we propose a modification in the SDD algorithm based on the centers of these regions. The resulting algorithm presents a more favorable tradeoff between convergence rate and computational cost. Moreover, in order to mitigate the steady-state mean-square error, we consider concurrent algorithms based on the previous mentioned. As a core of this dissertation, the perfect equalization conditions and the remarked algorithms are extended to the multiuser case. Simulation results point out that the Modified SDD algorithm and its concurrent adaptation with the constrained Constant Modulus Algorithm present advantages in terms of convergence rate for the blind adaptation of DFE in the recovering of QAM signals.
Devido à crescente demanda por comunicações móveis, equalizadores adaptativos autodidatas desempenham um importante papel na melhoria da eficiência da transmissão de dados. Nesse cenário, destaca-se o equalizador de decisão realimentada (DFE - Decision Feedback Equalizer), que apresenta um compromisso favorável entre custo computacional e comportamento eficiente, principalmente quando comparado ao equalizador linear transversal. Neste trabalho, a adaptação autodidata do DFE é investigada tanto no caso mono quanto no multiusuário. Considerando o caso monousuário, revisitam-se as condições de equalização perfeita com o DFE, assumindo realimentação de decisões corretas e ausência de ruído. Revisitam-se também dois algoritmos do gradiente estocástico para adaptação autodidata conjunta dos filtros direto e de realimentação do DFE. O primeiro é baseado na função custo do Módulo Constante com uma restrição imposta, a fim de se evitar soluções degeneradas. O segundo considera a minimização de uma função custo que leva em conta a função densidade de probabilidade do sinal de saída do equalizador. Este último, conhecido na literatura como algoritmo de Decisão Direta Suave (SDD - Soft Decision-Directed), foi proposto para recuperação de sinais com modulação do tipo QAM (Quadrature Amplitude Modulation). A partir da divisão do espaço complexo em regiões contendo constelações do tipo 4-QAM, é proposta uma modificação ao algoritmo SDD baseada nos centros dessas regiões. O algoritmo resultante apresenta uma relação mais favorável entre velocidade de convergência e complexidade computacional. Ainda com o intuito de mitigar o erro quadrático resultante da adaptação autodidata, considera-se a utilização de algoritmos concorrentes baseados nos algoritmos supracitados. Como cerne desta dissertação, as condições de equalização perfeita e os algoritmos abordados são estendidos para o caso multiusuário. Resultados de simulações evidenciam que o algoritmo SDD modificado e sua adaptação concorrente com o algoritmo do Módulo Constante com restrição apresentam vantagens em termos de velocidade de convergência para adaptação autodidata do DFE na recuperação de sinais do tipo QAM.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Decision Feedback Equalizer"

1

Loyd, Welch, and United States. National Aeronautics and Space Administration., eds. Study of a co-designed decision feedback equalizer,deinterleaver and decoder. [Washington, DC: National Aeronautics and Space Administration, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Xiang, Yihai. Design of high-speed adaptive parallel multi-level decision feedback equalizer. 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Loyd, Welch, and United States. National Aeronautics and Space Administration., eds. Study of a co-designed decision feedback equalizer,deinterleaver and decoder. [Washington, DC: National Aeronautics and Space Administration, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Xiang, Yihai. Design of high-speed adaptive parallel multi-level decision feedback equalizer. 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Garg, Adesh. A 1-tap 40-Gbps look-ahead decision feedback equalizer in 0.18-[Mu]M SiGe BiCMOS technology. 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Su, Wenjun. Design of high-speed low-power analog CMOS decision feedback equalizers. 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Su, Wenjun. Design of high-speed low-power analog CMOS decision feedback equalizers. 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Decision Feedback Equalizer"

1

Bury, Andreas, and Jürgen Lindner. "An Improved MMSE Based Block Decision Feedback Equalizer." In Multi-Carrier Spread Spectrum & Related Topics, 345–52. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4463-0_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

You, Xingyuan, Lintao Liu, and Haocheng Ding. "Soft Decision Feedback Turbo Equalizer Based on Channel Estimation." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 510–19. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73317-3_60.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Majumder, Saikat. "Adaptive Decision Feedback Equalizer Based on Wavelet Neural Network." In Machine Learning in Signal Processing, 185–212. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003107026-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Pérez-Iglesias, Héctor José, Adriana Dapena, Paula M. Castro, and José A. García-Naya. "Hybrid Channel Estimation Strategy for MIMO Systems with Decision Feedback Equalizer." In Latent Variable Analysis and Signal Separation, 311–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15995-4_39.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Udomsripaiboon, T., and C. Benjangkaprasert. "Variable Step-Size Algorithm on Feedback and Feed-Forward Coefficients for Modified Decision Feedback Equalizer Turbo Code DS/CDMA System." In Advances in Intelligent and Soft Computing, 707–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27966-9_95.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zerguine, Azzedine, and Ahmar Shafi. "Performance of the Multilayer Perceptron-based Decision Feedback Equalizer with Lattice Structure in Non-Linear Channels." In Soft Computing in Communications, 31–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-45090-0_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Khanzada, Tariq Jamil Saifullah, Ali Ramadan Ali, Abdul Qadeer Khan Rajput, and Abbas S. Omar. "A Design and Chronological Survey of Decision Feedback Equalizer for Single Carrier Transmission Compared with OFDM." In Wireless Networks, Information Processing and Systems, 378–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89853-5_41.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

"An Adaptive Decision Feedback Equalizer." In The Best of the Best. IEEE, 2009. http://dx.doi.org/10.1109/9780470546543.ch35.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

"Modulated Code Coded Decision Feedback Equalizer." In Modulated Coding for Intersymbol Interference Channels, 89–146. CRC Press, 2018. http://dx.doi.org/10.1201/9781315214924-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kennedy, R. A., B. D. O. Anderson, and R. R. Bitmead. "STOCHASTIC DYNAMICS OF BLIND DECISION FEEDBACK EQUALIZER ADAPTATION." In Adaptive Systems in Control and Signal Processing 1989, 579–84. Elsevier, 1990. http://dx.doi.org/10.1016/b978-0-08-035727-0.50099-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Decision Feedback Equalizer"

1

Zhao, Junhui, Wei Yang, and Dongming Wang. "Iterative bidirectional decision feedback equalizer." In 2009 IEEE International Conference on Communications Technology and Applications (ICCTA). IEEE, 2009. http://dx.doi.org/10.1109/iccomta.2009.5349130.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mendes Filho, Joao, Magno T. M. Silva, and Maria D. Miranda. "Space-time blind decision feedback equalizer." In 2006 International Telecommunications Symposium. IEEE, 2006. http://dx.doi.org/10.1109/its.2006.4433296.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lin, Yu-Chun, Muh-Tian Shiue, and Shyh-Jye Jou. "10Gbps decision feedback equalizer with dynamic lookahead decision loop." In 2009 IEEE International Symposium on Circuits and Systems - ISCAS 2009. IEEE, 2009. http://dx.doi.org/10.1109/iscas.2009.5118136.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Krstic, V. R., and Z. Petrovic. "Decision Feedback Blind Equalizer with Maximum Entropy." In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1629955.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zhou, Weiwei, and Jill K. Nelson. "Maximum asymptotic efficiency equalizer with decision feedback." In GLOBECOM 2014 - 2014 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7037305.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Balakrishnan, J., and C. R. Johnson. "Bidirectional decision feedback equalizer: infinite length results." In Conference Record. Thirty-Fifth Asilomar Conference on Signals, Systems and Computers. IEEE, 2001. http://dx.doi.org/10.1109/acssc.2001.987729.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Xia, Xiang-Gen. "Modulated-coded zero-forcing decision feedback equalizer." In AeroSense '99, edited by Raghuveer M. Rao, Soheil A. Dianat, and Michael D. Zoltowski. SPIE, 1999. http://dx.doi.org/10.1117/12.351227.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Lee, Yun-Ho, and Saul B. Gelfand. "Noncausal and bidirectional soft decision feedback equalizer." In 2009 6th IEEE Consumer Communications and Networking Conference. "Empowering the Connected Consumer". IEEE, 2009. http://dx.doi.org/10.1109/ccnc.2009.4784791.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Gurnani, Ekta, and Sheena Gupta. "Decision Feedback Equalizer using Artificial Neural Networks." In Proceedings of the International Conference on Advances in Computer Science and Electronics Engineering. Singapore: Research Publishing Services, 2012. http://dx.doi.org/10.3850/978-981-07-1403-1_623.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Huang, Gillian, Andrew Nix, and Simon Armour. "Feedback Reliability Calculation for an Iterative Block Decision Feedback Equalizer." In 2009 IEEE Vehicular Technology Conference (VTC 2009-Fall). IEEE, 2009. http://dx.doi.org/10.1109/vetecf.2009.5378682.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Decision Feedback Equalizer' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography