Relevant bibliographies by topics / Normalized LMS algorithm (NLMS)

Contents

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

Academic literature on the topic 'Normalized LMS algorithm (NLMS)'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Normalized LMS algorithm (NLMS).'

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 "Normalized LMS algorithm (NLMS)"

1

Dan, Feng, Fan Shangchun, and Zheng Dezhi. "A time-varying signal processing method for Coriolis mass flowmeter based on adaptive filter." Transactions of the Institute of Measurement and Control 40, no. 1 (2016): 261–68. http://dx.doi.org/10.1177/0142331216652955.

Full text
Abstract:
In this paper, the normalized least mean square (NLMS) algorithm, a time-varying signal processing method, is employed in a Coriolis mass flowmeter (CFM) to improve its weak anti-jamming capability. Initially, the fundamental principles of the NLMS algorithm adopted in the adaptive filter are analysed. Then, the NLMS algorithm is applied to analyse the signal processing of the CFM at different flow rates in experiments. By comparing several performance indicators and spectrum diagrams from being filtered by the NLMS algorithm and the least mean square (LMS) algorithm, the results indicate that
APA, Harvard, Vancouver, ISO, and other styles
2

Aali, Seyed Reza, Mohammad Reza Besmi, and Mohammad Hosein Kazemi. "Smart VRP-NLMS algorithm for estimation of power system frequency." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 1 (2019): 362–81. http://dx.doi.org/10.1108/compel-06-2018-0263.

Full text
Abstract:
Purpose The purpose of this paper is to study variation regularization with a positive sequence extraction-normalized least mean square (VRP-NLMS) algorithm for frequency estimation in a three-phase electrical distribution system. A simulation test is provided to validate the performance and convergence rate of the proposed estimation algorithm. Design/methodology/approach Least mean square (LMS) algorithms for frequency estimation encounter problems when voltage contains unbalance, sags and harmonic distortion. The convergence rate of the LMS algorithm is sensitive to the adjustment of the st
APA, Harvard, Vancouver, ISO, and other styles
3

Ahmed, Mamun, and Nasimul Hyder Maruf Bhuyan. "Comparison of LMS and NLMS algorithm with the using of 4 Linear Microphone Array for Speech Enhancement." European Journal of Engineering Research and Science 2, no. 4 (2017): 15. http://dx.doi.org/10.24018/ejers.2017.2.4.326.

Full text
Abstract:
In this paper, we have presented the design, implementation and comparison result of Least Mean Square (LMS) algorithm and Normalized LMS (NLMS) algorithm using a 4 channel microphone array for noise reduction as well as speech enhancement. Adaptive sub band Generalized Side lobe Canceller (GSC) beam former has been used for experiment and analysis. Tested results were done by using one speech signal and a small number of noise sources. The side lobe canceller was evaluated with the adaptation of LMS and NLMS. The overall development of Signal to Noise Ratio (SNR) has been determined from the
APA, Harvard, Vancouver, ISO, and other styles
4

Yu, Zhihua, Yunfei Cai, and Daili Mo. "Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm." Sensors 20, no. 1 (2020): 301. http://dx.doi.org/10.3390/s20010301.

Full text
Abstract:
Adaptive filtering has the advantages of real-time processing, small computational complexity, and good adaptability and robustness. It has been widely used in communication, navigation, signal processing, optical fiber sensing, and other fields. In this paper, by adding an interferometer with the same parameters as the signal interferometer as the reference channel, the sensing signal of the interferometric fiber-optic hydrophone is denoised by two adaptive filtering schemes based on the least mean square (LMS) algorithm and the normalized least mean square (NLMS) algorithm respectively. The
APA, Harvard, Vancouver, ISO, and other styles
5

Girika, Jyoshna, and Md Zia Ur Rahman. "Sign Regressor based Normalized Adaptive Filters for Speech Enhancement Applications." International Journal of Engineering & Technology 7, no. 2.17 (2018): 79. http://dx.doi.org/10.14419/ijet.v7i2.17.11563.

Full text
Abstract:
Removal of noise components of speech signals in mobile applications is an important step to facilitate high resolution signals to the user. Throughout the communication method the speech signals are tainted by numerous non stationary noises. The Least Mean Square (LMS) technique is a fundamental adaptive technique usedbroadly in numerouspurposes as anoutcome of its plainness as well as toughness. In LMS technique, an importantfactor is the step size. It bewell-known that if the union rate of the LMS technique will be rapidif the step size is speedy, but the steady-state mean square error (MSE
APA, Harvard, Vancouver, ISO, and other styles
6

Irid, Sidi Mohammed Hadj, Mohammed Hicham Hachemi, Haroun Errachid Adardour, and Mourad Hadjila. "Spectrum Sensing with VSS-NLMS Process in Femto/Macro-cell Environments." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 5185. http://dx.doi.org/10.11591/ijece.v8i6.pp5185-5194.

Full text
Abstract:
<p>Handover is a process that allows a mobile node to change its attachment point. A mobile node connected to a network can, in order to improve the quality of service, have the need to leave it to connect to a cell either of the same network or of a new network. The present paper introduce three techniques using adaptive Variable Step-Size Least Mean Square (VSSLMS) filter combined with spectrum sensing probability method to detect the triggering of handover in heterogeneous LTE networks. These techniques are Normalized LMS (NLMS), Kwong-NLMS and Li-NLMS. The simulation environment is c
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Fengsui, Qisheng Wang, Furong Liu, Jingang Chen, Linjun Fu, and Fa Zhao. "Improved NLMS-based adaptive denoising method for ECG signals." Technology and Health Care 29, no. 2 (2021): 305–16. http://dx.doi.org/10.3233/thc-202659.

Full text
Abstract:
BACKGROUND: Traditional least mean square algorithm (LMS) tends to converge faster and thus the larger the steady-state error of the algorithm. OBJECTIVE: In order to solve this issue, an improved adaptive normalized least mean square (NLMS) ECG signal denoising algorithm is proposed through utilizing the NLMS and the least mean square algorithm with added momentum term (MLMS). METHODS: The algorithm firstly performs LMS adaptive filtering on the original ECG signal. Then, the algorithm uses the relative error of the prior error signal and the posterior error signal before and after filtering
APA, Harvard, Vancouver, ISO, and other styles
8

Costa, Eduardo A., Sérgio J. Almeida, Mônica L. Matzenauer, and Mateus B. Fonseca. "Gray Encoded Harmonics Power Line Interference Cancelling Structure Using LMS and NLMS Adaptive Algorithms." Journal of Integrated Circuits and Systems 9, no. 1 (2014): 36–47. http://dx.doi.org/10.29292/jics.v9i1.387.

Full text
Abstract:
This paper proposes the implementation of a Gray encoded structure for harmonics power line interference cancelling. The structure uses dedicated hardware architecture for the Least Mean Square (LMS) adaptive filtering algorithm, as well as its normalized version (NLMS). In the used scheme, from a 60Hz reference signal, the algorithms are able to estimate the superior harmonics, using after these results for the cancelling of interferences related to the signal of interest. In this work, the proposed adaptive filtering architectures and the harmonics generator block use a Hybrid encoding in it
APA, Harvard, Vancouver, ISO, and other styles
9

Javed, Shazia, and Noor Atinah Ahmad. "A Stochastic Total Least Squares Solution of Adaptive Filtering Problem." Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/625280.

Full text
Abstract:
An efficient and computationally linear algorithm is derived for total least squares solution of adaptive filtering problem, when both input and output signals are contaminated by noise. The proposed total least mean squares (TLMS) algorithm is designed by recursively computing an optimal solution of adaptive TLS problem by minimizing instantaneous value of weighted cost function. Convergence analysis of the algorithm is given to show the global convergence of the proposed algorithm, provided that the stepsize parameter is appropriately chosen. The TLMS algorithm is computationally simpler tha
APA, Harvard, Vancouver, ISO, and other styles
10

RYU, GEUN-TAEK, DAE-SUNG KIM, DAE-YOUNG LEE, SUNG-HWAN HAN, and HYEON-DEOK BAE. "CONVERGENCE IMPROVEMENT OF ADAPTIVE LATTICE ALGORITHM WITH FUZZY BASED ADAPTIVE GAIN." Journal of Circuits, Systems and Computers 09, no. 01n02 (1999): 125–32. http://dx.doi.org/10.1142/s0218126699000116.

Full text
Abstract:
The choice of the adaptive gain is important to the performance of LMS-based adaptive filters. Depending on application areas, the realization structure of the filters is also important. This letter presents an adaptive lattice algorithm which adjusts the adaptive gain of LMS using fuzzy if-then rules determined by matching input and output variables during adaptation procedure. In each lattice filter stage, this filter adjusts the adaptive gain as the output of the fuzzy logic which has two input variables, normalized squared forward prediction error and one step previous adaptive gain. The p
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Normalized LMS algorithm (NLMS)"

1

Deyneka, Alexander. "Metody ekvalizace v digitálních komunikačních systémech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218963.

Full text
Abstract:
Tato práce je psaná v angličtině a je zaměřená na problematiku ekvalizace v digitálních komunikačních systémech. Teoretická část zahrnuje stručné pozorování různých způsobů návrhu ekvalizérů. Praktická část se zabývá implementací nejčastěji používaných ekvalizérů a s jejich adaptačními algoritmy. Cílem praktické části je porovnat jejich charakteristiky a odhalit činitele, které ovlivňují kvalitu ekvalizace. V rámci problematiky ekvalizace jsou prozkoumány tři typy ekvalizérů. Lineární ekvalizér, ekvalizér se zpětnou vazbou a ML (Maximum likelihood) ekvalizér. Každý ekvalizér byl testován na mo
APA, Harvard, Vancouver, ISO, and other styles
2

Silva, Wilander Testone Pereira da. "Modelagem Estocástica: Teoria, Formulação e Aplicações do Algoritmo LMS." Universidade Federal do Maranhão, 2016. http://tedebc.ufma.br:8080/jspui/handle/tede/301.

Full text
Abstract:
Made available in DSpace on 2016-08-17T14:52:41Z (GMT). No. of bitstreams: 1 Dissertacao-WilanderTestonePereiraSilva.pdf: 3903191 bytes, checksum: b91ff906a27937df64d75b330c6ea137 (MD5) Previous issue date: 2016-03-11<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>In this dissertation we present a research in aspects of stochastic modeling, convergence and applications of least mean square (LMS) algorithm, normalized least mean square (NLMS) algorithm and proportionate normalized least mean square (PNLMS) algorithm. Specifically, the aim is to address the LMS algorithm i
APA, Harvard, Vancouver, ISO, and other styles
3

Ikuma, Takeshi. "Non-Wiener Effects in Narrowband Interference Mitigation Using Adaptive Transversal Equalizers." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26772.

Full text
Abstract:
The least mean square (LMS) algorithm is widely expected to operate near the corresponding Wiener filter solution. An exception to this popular perception occurs when the algorithm is used to adapt a transversal equalizer in the presence of additive narrowband interference. The steady-state LMS equalizer behavior does not correspond to that of the fixed Wiener equalizer: the mean of its weights is different from the Wiener weights, and its mean squared error (MSE) performance may be significantly better than the Wiener performance. The contributions of this study serve to better understand thi
APA, Harvard, Vancouver, ISO, and other styles
4

Johansson, Sven. "Active Control of Propeller-Induced Noise in Aircraft : Algorithms & Methods." Doctoral thesis, Karlskrona, Ronneby : Blekinge Institute of Technology, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00171.

Full text
Abstract:
In the last decade acoustic noise has become more and more regarded as a problem. In cars, boats, trains and aircraft, low-frequency noise reduces comfort. Lightweight materials and more powerful engines are used in high-speed vehicles, resulting in a general increase in interior noise levels. Low-frequency noise is annoying and during periods of long exposure it causes fatigue and discomfort. The masking effect which low-frequency noise has on speech reduces speech intelligibility. Low-frequency noise is sought to be attenuated in a wide range of applications in order to improve comfort and s
APA, Harvard, Vancouver, ISO, and other styles
5

Huang, Shih-Chuan, and 黃世全. "Theoretical Analysis of the Square-Error-Based Regularization for Normalized LMS Algorithm." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/96370699691272634006.

Full text
Abstract:
碩士<br>元智大學<br>電機工程學系<br>98<br>The main purpose of this thesis is to enhance the performance of the conventional NLMS algorithm and analyze the convergence characteristics of the algorithm. We present a new robust variable regularization parameter NLMS-type algorithm providing fast convergence and low steady-state error. By employing the inverse of weighted square-error as the time-varying regularization parameter, we introduce a new regularization for NLMS algorithms. An approximate analysis of convergence and steady-state performance for zero-mean stationary Gaussian inputs and for nonstation
APA, Harvard, Vancouver, ISO, and other styles
6

Lee, Yu-Ciao, and 李雨樵. "An investigation on the step-size bound of the normalized block LMS algorithm." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/26011913887728085844.

Full text
Abstract:
碩士<br>元智大學<br>電機工程學系<br>99<br>In this thesis, we present an analysis on the step-size bound that guarantees the stability of the normalized block LMS algorithm(NBLMS),and discover that the step-size bound for the NBLMS is not bounded in (0,2) as we know, but is bounded in (0,2L) for convergence, which L is block length. This finding makes NBLMS much more practical. Extensive simulation results are provided to support our analysis.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Normalized LMS algorithm (NLMS)"

1

Givens, Maurice. "Enhanced-Convergence Normalized LMS Algorithm." In Streamlining Digital Signal Processing. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118316948.ch46.

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

K R, Kaviya, and Deepa S. "An Inclusive Survey on Various Adaptive Beam Forming Algorithm for 5G Communications Systems." In Intelligent Systems and Computer Technology. IOS Press, 2020. http://dx.doi.org/10.3233/apc200182.

Full text
Abstract:
There are several existing wireless system in 5G technology, originating interference in same frequency band and degenerate the concert of received signal. Antenna System comprise of different Beam forming methods in which direction of required signal is generated by the beam and nulls and the voids are set in the direction of unwanted signal (Interference). The survey of different blind and non-blind beam forming algorithms are discussed using smart antenna and phased array. It involves Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Recursive Least Square (RLS), Sample Matrix Inversion(SMI), Linear Constrained Minimum Variance (LCMV), Constant Modulus (CMA), Decision feedback equalization based LMS (DFE-LMS) are considered. These algorithms are outlined to be claimed in 5G network to provide good quality, capacity and dealing with coincidence of signals and interference.
APA, Harvard, Vancouver, ISO, and other styles
3

Wu, Yunfeng, and Rangaraj M. Rangayyan. "Noise Cancellation in ECG Signals with an Unbiased Adaptive Filter." In Transdisciplinary Advancements in Cognitive Mechanisms and Human Information Processing. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-553-7.ch022.

Full text
Abstract:
The electrocardiographic (ECG) signal is a transthoracic manifestation of the electrical activity of the heart and is widely used in clinical applications. This chapter describes an unbiased linear adaptive filter (ULAF) to attenuate high-frequency random noise present in ECG signals. The ULAF does not contain a bias in its summation unit and the filter coefficients are normalized. During the adaptation process, the normalized coefficients are updated with the steepest-descent algorithm to achieve efficient filtering of noisy ECG signals. A total of 16 ECG signals were tested in the adaptive filtering experiments with the ULAF, the least-mean-square (LMS), and the recursive-least-squares (RLS) adaptive filters. The filtering performance was quantified in terms of the root-mean-squared error (RMSE), normalized correlation coefficient (NCC), and filtered noise entropy (FNE). A template derived from each ECG signal was used as the reference to compute the measures of filtering performance. The results indicated that the ULAF was able to provide noise-free ECG signals with an average RMSE of 0.0287, which was lower than the second-best RMSE obtained with the LMS filter. With respect to waveform fidelity, the ULAF provided the highest average NCC (0.9964) among the three filters studied. In addition, the ULAF effectively removed more noise, measured by FNE, in comparison with the LMS and RLS filters in most of the ECG signals tested. The issues of adaptive filter setting for noise reduction in ECG signals are discussed at the end of this chapter.
APA, Harvard, Vancouver, ISO, and other styles
4

Ahmed, Qasim Zeeshan, and Lie-Liang Yang. "Comparative Study of Adaptive Multiuser Detections in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5170-8.ch018.

Full text
Abstract:
This chapter considers low-complexity detection in hybrid Direct-Sequence Time-Hopping (DS-TH) Ultrawide Bandwidth (UWB) systems. A range of Minimum Mean-Square Error (MMSE) assisted Multiuser Detection (MUD) schemes are comparatively investigated with emphasis on the low-complexity adaptive MMSE-MUDs, which are free from channel estimation. In this contribution, three types of adaptive MUDs are considered, which are derived based on the principles of Least Mean-Square (LMS), Normalized Least Mean-Square (NLMS), and Recursive Least-Square (RLS), respectively. The authors study comparatively the achievable Bit Error-Rate (BER) performance of these adaptive MUDs and of the ideal MMSE-MUD, which requires ideal knowledge about the UWB channels and the signature sequences of all active users. Both the advantages and disadvantages of the various adaptive MUDs are analyzed when communicating over indoor UWB channels modeled by the Saleh-Valenzuela (S-V) channel model. Furthermore, the complexity of the adaptive MUDs is analyzed and compared with that of the single-user RAKE receiver and also with that of the ideal MMSE-MUD. The study and simulation results show that the considered adaptive MUDs constitute feasible detection techniques for deployment in practical UWB systems. It can be shown that, with the aid of a training sequence of reasonable length, an adaptive MUD is capable of achieving a similar BER performance as the ideal MMSE-MUD while requiring a complexity that is even lower than that of a corresponding RAKE receiver.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Normalized LMS algorithm (NLMS)"

1

Ban, Sung Jun, Hyeonwoo Cho, Jae Jin Jeong, and Sang Woo Kim. "A normalized LMF (XE-NLMF) algorithm with variable data-reusing." In Signal Processing (ICICS). IEEE, 2009. http://dx.doi.org/10.1109/icics.2009.5397684.

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

Douglas, S. C., and T. H. Y. Meng. "An optimum NLMS algorithm: performance improvement over LMS." In [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1991. http://dx.doi.org/10.1109/icassp.1991.150826.

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

Akhtar, Muhammad Tahir, and Shakeel Ahmed. "A robust normalized variable tap-length normalized fractional LMS algorithm." In 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2016. http://dx.doi.org/10.1109/mwscas.2016.7870146.

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

Farhang-Boroujeny, B., and S. Gazor. "Performance analysis of transform domain normalized LMS algorithm." In [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1991. http://dx.doi.org/10.1109/icassp.1991.150834.

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

Gao, Wei, Meiru Song, Lihuan Huang, and Lingling Zhang. "Performance Analysis Of Deficient Length Normalized Lms Algorithm." In 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2020. http://dx.doi.org/10.1109/icspcc50002.2020.9259541.

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

Liu, Ligang, Masahiro Fukumoto, and Shiyong Zhang. "A variable parameter improved proportionate normalized LMS algorithm." In APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS). IEEE, 2008. http://dx.doi.org/10.1109/apccas.2008.4745995.

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

Faiz, Mohammed Mujahid Ulla, and Azzedine Zerguine. "Analysis of the Normalized Sign-Sign LMS Algorithm." In 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2021. http://dx.doi.org/10.1109/ssd52085.2021.9429479.

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

Mahmoodzadeh, A., H. R. Abutalebi, and H. Agahi. "Speech enhancement using a Kalman-based normalized LMS algorithm." In 2008 International Symposium on Telecommunications (IST). IEEE, 2008. http://dx.doi.org/10.1109/istel.2008.4651363.

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

Abdaoui, Abderrazak, and Christophe Laot. "Blind DFE based on NLMS algorithm with generalized normalized gradient descent regularization." In OCEANS 2009. IEEE, 2009. http://dx.doi.org/10.23919/oceans.2009.5422117.

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

Islam, Shoriful, Rubaiyat Yasmin, Shihab Kaviraz, and Meftahul Zannat. "Misadjustment Measurement with Normalized Weighted Noise Covariance based LMS Algorithm." In 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2). IEEE, 2019. http://dx.doi.org/10.1109/ic4me247184.2019.9036560.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Normalized LMS algorithm (NLMS)' for particular source types:
Journal articles
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