Log in

Relevant bibliographies by topics / Blind equalization

Academic literature on the topic 'Blind equalization'

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

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Blind equalization.'

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 "Blind equalization"

1

Litwin, L. R. "Blind channel equalization." IEEE Potentials 18, no. 4 (1999): 9–12. http://dx.doi.org/10.1109/45.796095.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Icart, Sylvie, Pierre Comon, and Ludwig Rota. "Blind paraunitary equalization." Signal Processing 89, no. 3 (March 2009): 283–90. http://dx.doi.org/10.1016/j.sigpro.2008.08.014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Xiao, Ying, and Rui Ruan. "CMA Blind Equalization with Variable Momentum Based on Nonlinear Transformation Function." Applied Mechanics and Materials 602-605 (August 2014): 2658–61. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2658.

Full text

Abstract:

For the contradiction between convergence rate and convergence precision in the CMA blind equalization with the fixed momentum factor, a variable momentum CMA blind equalization is proposed The output error power of the blind equalizer is acted as the parameter, which control the adjustment of the momentum factor adaptively based on nonlinear transformation function. The algorithm can obtain faster convergence rate and higher convergence precision, also the performance of the blind equalization is improved. The simulation results show that, compared with the CMA blind equalization with the fixed momentum factor, CMA blind equalization with variable momentum based on nonlinear transform can obtain better performance

APA, Harvard, Vancouver, ISO, and other styles

4

Cai, Wei Ju. "Improved Blind Equalization Algorithm and Simulation." Applied Mechanics and Materials 325-326 (June 2013): 1645–48. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1645.

Full text

Abstract:

This paper focuses on the constant modulus Busgang blind equalization algorithm (CMA blind equalization algorithm in Constant, The Modulus Algorithm). Analysis of the convergence performance of the traditional CMA blind equalization algorithm, the fixed step size, convergence speed and convergence of mutual constraint between the precision of its application under great restrictions is demonstrated in the paper. In order to solve this contradiction, this paper presents a CMA blind equalization algorithm based on the mean square error (MSE Mean Square Error).

APA, Harvard, Vancouver, ISO, and other styles

5

Ghosh, Monisha. "Maximum-likelihood blind equalization." Optical Engineering 31, no. 6 (1992): 1224. http://dx.doi.org/10.1117/12.57516.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Gustafsson, F., and B. Wahlberg. "Identifiability in Blind Equalization." IFAC Proceedings Volumes 26, no. 2 (July 1993): 409–12. http://dx.doi.org/10.1016/s1474-6670(17)48296-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Itoh, Katsuko, Tetsuya Shimamura, and Jouji Suzuki. "Prefiltering for blind equalization." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 78, no. 9 (September 1995): 1–11. http://dx.doi.org/10.1002/ecjc.4430780901.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Sun, Yongjun, Liangting Zhu, Dongmin Li, and Zujun Liu. "Convex Combination of SISO Equalization and Blind Source Separation for MIMO Blind Equalization." Wireless Personal Communications 106, no. 3 (March 13, 2019): 1397–409. http://dx.doi.org/10.1007/s11277-019-06221-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Xiao, Ying, and Rui Ruan. "CMA Blind Equalization with Quasi-Newton Algorithm in Underwater Acoustic Channels Based on Simplified Cost Function." Advanced Materials Research 989-994 (July 2014): 1865–68. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.1865.

Full text

Abstract:

The CMA cost function is simplified to meet the second norm form, and a new CMA blind equalization based on quasi-newton algorithm is proposed. Since the CMA cost function does not meet the second norm form, it is difficult to use quasi-newton algorithm to update the blind equalizer directly based on the cost function of CMA. If the cost function is simplified to meet the second norm form, it can use quasi-newton algorithm to update the blind equalizer directly. Thus, the convergence rate and convergence precision of CMA blind equalization can be improved effectively. Simulation results under the acoustic channels show that CMA blind equalization with quasi-newton algorithm based on the simplified cost function has faster convergence rate and less steady state residual error, which has practical value in the blind equalization of fast time-varying underwater acoustic channels

APA, Harvard, Vancouver, ISO, and other styles

10

Pan, Zihao, Chen Xie, Heng Wang, Yimin Wei, and Daoxing Guo. "Blind Turbo Equalization of Short CPM Bursts for UAV-Aided Internet of Things." Sensors 22, no. 17 (August 29, 2022): 6508. http://dx.doi.org/10.3390/s22176508.

Full text

Abstract:

With the surge of Internet of Things (IoT) applications using unmanned aerial vehicles (UAVs), there is a huge demand for an excellent complexity/power efficiency trade-off and channel fading resistance at the physical layer. In this paper, we consider the blind equalization of short-continuous-phase-modulated (CPM) burst for UAV-aided IoT. To solve the problems of the high complexity and poor convergence of short-burst CPM blind equalization, a novel turbo blind equalization algorithm is proposed based on establishing a new expectation–maximization Viterbi (EMV) algorithm and turbo scheme. Firstly, a low complexity blind equalization algorithm is obtained by applying the soft-output Lazy Viterbi algorithm within the EM algorithm iteration. Furthermore, a set of initializers that achieves a high global convergence probability is designed by the blind channel-acquisition (BCA) method. Meanwhile, a soft information iterative process is used to improve the system performance. Finally, the convergence, bit error rate, and real-time performance of iterative detection can be further improved effectively by using improved exchange methods of extrinsic information and the stopping criterion. The analysis and simulation results show that the proposed algorithm achieves a good blind equalization performance and low complexity.

APA, Harvard, Vancouver, ISO, and other styles

More sources

Dissertations / Theses on the topic "Blind equalization"

1

Díguele, Daniel. "Blind equalization /." Online version of thesis, 1994. http://hdl.handle.net/1850/11701.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Olasz, Elizabeth Barbara. "Blind phase equalization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/nq20763.pdf.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Abrar, Shafayat. "Blind channel equalization and instantaneous blind source separation." Thesis, University of Liverpool, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540044.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Yang, Jian. "Multimodulus algorithms for blind equalization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25191.pdf.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Kutlu, Mehmet. "Kalman filtering approach to blind equalization." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA276320.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Lim, Sze Chie (Felicia). "Robust multichannel equalization for blind speech dereverberation." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/39566.

Full text

Abstract:

Acoustic reverberation arises from the reflection of sound waves within an enclosed space. It is generally desirable in music reproduction but can be detrimental to speech-related applications. For the human listener, while the early reflections help to improve speech intelligibility, the late reflections have been shown to impair perceived speech quality. For speech processing technologies such as automatic speech recognizers, reverberation reduces accuracy and performance. Dereverberation is therefore an important research topic with interest driven by increasing availability of communication devices and consumer demand. One approach to dereverberation computes a set of equalizing filters that are used to perform the dereverberation processing, given multichannel inputs and estimates of the acoustic impulse responses (AIRs) between the source signal and microphones. However, estimation errors are inevitable in practice and therefore robust channel equalizers are required. This thesis aims to develop such robust algorithms in a manner that is desirable specifically for speech dereverberation. The framework of channel shortening is used, having been previously shown to give promising results. Subband approaches are also investigated to reduce the computational complexity and achieve finer control of dereverberation in separate frequency bands. A second approach to dereverberation steers the look direction of beamformers towards the source. Reverberant sounds from other directions are treated as noise and accordingly suppressed. The motivation behind beamformer design and channel equalization is similar and in this work, a unified framework termed MINTFormer is proposed. The aim is to combine the robustness of beamformers with the potentially perfect dereverberation ability that can be achieved by channel equalization approaches.

APA, Harvard, Vancouver, ISO, and other styles

7

Jain, Vijay. "A new sufficient-order blind equalization scheme." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0006/MQ43652.pdf.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Lambotharan, Sangarapillai. "Algorithms and structures for adaptive blind equalization." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268038.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

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

10

Xanthopoulos, Spyridon. "A novel initialization scheme for blind equalization algorithms." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418896.

Full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

Books on the topic "Blind equalization"

1

Ilow, Jacek. Simulated annealing optimization in blind equalization. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

Zhang, Wen Pian Paul. Transmitter-induced cyclostationarity for blind channel identification and equalization. Ottawa: National Library of Canada, 2000.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Jiang, Yufei, Xu Zhu, Eng Gee Lim, Yi Huang, and Hai Lin. Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24984-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Au, Kelvin Kar-Kin. Semi-blind spatial-temporal equalization for short burst wireless communications. Ottawa: National Library of Canada, 2000.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

Tse, Eloise. Blind equalization with differential detection for channels with ISI and fading. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Ding, Zhi, and Ye Li. Blind Equalization and Identification. Taylor & Francis Group, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Ding, Zhi, and Ye Li. Blind Equalization and Identification. Taylor & Francis Group, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

Ding, Zhi, and Ye Li. Blind Equalization and Identification. Taylor & Francis Group, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

Ding, Zhi, and Ye Li. Blind Equalization and Identification. Taylor & Francis Group, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

Blind Equalization and System Identification. London: Springer-Verlag, 2006. http://dx.doi.org/10.1007/1-84628-218-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

Book chapters on the topic "Blind equalization"

1

Xu, Guanghan. "Blind Equalization and Smart Antennas." In Communications, Computation, Control, and Signal Processing, 155–67. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6281-8_7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Proakis, John G. "Adaptive Algorithms for Blind Channel Equalization." In Linear Algebra for Signal Processing, 139–51. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4228-4_8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Cid-Sueiro, Jesús, Luis Weruaga-Prieto, and Aníbal R. Figueiras-Vidal. "Optimal blind equalization of Gaussian channels." In New Trends in Neural Computation, 605–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56798-4_209.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Park, Hyung-Min, Sang-Hoon Oh, and Soo-Young Lee. "Blind Equalization Using Direct Channel Estimation." In Independent Component Analysis and Blind Signal Separation, 562–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_72.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Lee, Jung-Sik, Jin-Hee Kim, Dong-Kun Jee, Jae-Jeong Hwang, and Ju-Hong Lee. "Blind Equalization Using RBF and HOS." In Intelligent Data Engineering and Automated Learning, 442–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45080-1_59.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Özen, A., A. Güner, O. Çakır, E. Tuğcu, B. Soysal, and I. Kaya. "A Novel Approach for Blind Channel Equalization." In Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 347–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85984-0_43.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Lv, Jun, Tong Li, and Tao Jing. "The Fast Blind Equalization Algorithm with Global Convergence." In Lecture Notes in Computer Science, 440–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31576-3_56.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Labed, Abdenour. "Hybrid Algorithm for Blind Equalization of QAM Signals." In Operations Research Proceedings, 475–80. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00795-3_71.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Weikert, Oomke, Christian Klünder, and Udo Zölzer. "Semi-blind Equalization of Wireless MIMO Frequency Selective Communication Channels." In Independent Component Analysis and Blind Signal Separation, 422–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11679363_53.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Yang, Dalong, Dahai Chen, and Wen Kuang. "Constant Modulus Blind Equalization Analysis for High Speed Implementation." In Lecture Notes in Electrical Engineering, 299–306. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33663-8_30.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Blind equalization"

1

Proakis, John G., and Chrysostomos L. Nikias. "Blind equalization." In San Diego, '91, San Diego, CA, edited by Simon Haykin. SPIE, 1991. http://dx.doi.org/10.1117/12.49767.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

"Optimal Blind Equalization." In Proceedings. 1991 IEEE International Symposium on Information Theory. IEEE, 1991. http://dx.doi.org/10.1109/isit.1991.695087.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Bellini, Sandro. "Blind equalization and deconvolution." In San Diego, '91, San Diego, CA, edited by Simon Haykin. SPIE, 1991. http://dx.doi.org/10.1117/12.49768.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Ghosh, Monisha, and Charles L. Weber. "Maximum-likelihood blind equalization." In San Diego, '91, San Diego, CA, edited by Simon Haykin. SPIE, 1991. http://dx.doi.org/10.1117/12.49776.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Samee, Muhammad Kashif, and Jurgen Gotze. "Blind equalization using Digital Watermarking." In 4th International Symposium on Communications, Control and Signal Processing (ISCCSP 2010). IEEE, 2010. http://dx.doi.org/10.1109/isccsp.2010.5463493.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Wood, S. G., B. p. Paris, and J. K. Nelson. "Blind Equalization Via Sample Sorting." In 2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop. IEEE, 2006. http://dx.doi.org/10.1109/dspws.2006.265433.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Jiang, Xue, Wen-Jun Zeng, Jiayi Chen, Abdelhak M. Zoubir, and Xingzhao Liu. "Blind Equalization Via Polynomial Optimization." In 2020 28th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco47968.2020.9287570.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Jalil, Amir Minayi, Hamidreza Amindavar, and Jean-Pierre Cances. "Blind equalization in wavelet domain." In 2008 IEEE International Symposium on Wireless Communication Systems. IEEE, 2008. http://dx.doi.org/10.1109/iswcs.2008.4726109.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Rao, Wei, Hong Duan, and Yecai Guo. "A New Blind Equalization Algorithm." In 2006 International Conference on Communication Technology. IEEE, 2006. http://dx.doi.org/10.1109/icct.2006.341769.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Peng, Hua, and Jing Li. "Turbo Equalization in Blind Receiver." In 2010 International Conference on Communications and Intelligence Information Security (ICCIIS). IEEE, 2010. http://dx.doi.org/10.1109/icciis.2010.47.

Full text

APA, Harvard, Vancouver, ISO, and other styles

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!