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Signal Processing: An International Journal (SPIJ)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 1985-2339
Published - Bi-Monthly   |   Established - 2007   |   Year of Publication - 2018

SUBMISSION
April 30, 2019

NOTIFICATION
May 31, 2019

PUBLICATION
June 30, 2019

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CITATION ANALYSIS

SPIJ Citation Impact
(480 - 1) / 121 = 3.959

Refer to Citation Report for 2018 for complete details.
 

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CITATION REPORT FOR SPIJ

Below calculations are based on in-process citations that are extracted through Google Scholar.


Total Citations = 480
Self Citations = 1
Total Publications = 121


Citation Impact
(Total Citations - Self Citations) / Total Publications

Citation Impact
(480 - 1) / 121 = 3.959

 
SR
M-CODE
CITATION
1
Krishnan, R., Wu, W., Bodapati, S., & He, L. Accurate Multi-segment Probability Density Estimation Through Moment Matching.
2
Frieß, J. L. (2016). Einfluss ionisierender Strahlung auf die elektrophysiologischen Eigenschaften kardialer Zellen.
3
Rahman, M., & Choi, G. S. (2016). Hardware Architecture of Complex K-best MIMO Decoder. arXiv preprint arXiv:1602.06009.
4
Rahman, M., & Choi, G. S. (2016). Hardware Architecture of Complex K-best MIMO Decoder. arXiv preprint arXiv:1602.06009.
5
Mrabet, E., Guedri, M., Ichchou, M. N., Ghanmi, S., & Soula, M. (2016). A new reliability based optimization of tuned mass damper parameters using energy approach. Journal of Vibration and Control, 1077546316636361.
6
Sabor, N., Abo-Zahhad, M., Sasaki, S., & Ahmed, S. M. (2016). An Unequal Multi-hop Balanced Immune Clustering protocol for wireless sensor networks. Applied Soft Computing, 43, 372-389.
7
Doush, I. A., Alkhatib, F., & Bsoul, A. A. R. (2016). What we have and what is needed, how to evaluate Arabic Speech Synthesizer?. International Journal of Speech Technology, 1-18.
8
Xu, J. (2016). A new method for reliability assessment of structural dynamic systems with random parameters. Structural Safety, 60, 130-143.
9
Waghmare, K., Kayte, S., & Gawali, B. (2016). Analysis of Pitch and Duration in Speech Synthesis using PSOLA. Analysis, 4(4).
10
Kaladharan, N. English Text to Speech Conversion using Indian Pronunciation.
11
Nasrolahzadeh, M., Mohammadpoori, Z., & Haddadnia, J. (2016). Analysis of mean square error surface and its corresponding contour plots of spontaneous speech signals in Alzheimer's disease with adaptive wiener filter. Computers in Human Behavior, 61, 364-371.
12
Oster, S., Daus, A. W., Erbes, C., Goldhammer, M., Bochtler, U., & Thielemann, C. (2016). Long-term electromagnetic exposure of developing neuronal networks: A flexible experimental setup. Bioelectromagnetics, 37(4), 264-278.
13
Regalia, G., Coelli, S., Biffi, E., Ferrigno, G., & Pedrocchi, A. (2016). A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis. Computational Intelligence and Neuroscience, 2016.
14
Bahja, F., Martino, J., Elhaj, E. I., & Aboutajdine, D. (2016). A corroborative study on improving pitch determination by time–frequency cepstrum decomposition using wavelets. SpringerPlus, 5(1), 1-17.
15
Patil, M. V., & Srinivas, M. C. Fully Automated Artifact Removal for BCI.
16
Twayana, K. S., & Joshi, S. R. (2016). Fuzzy Clustering Based Blind Adaptive OFDM System. Journal of Advanced College of Engineering and Management, 1, 51-58.
17
Biswas, U. (2015). Power Line Interference Removal from ECG Signal Using Notch Filter, Adaptive Filter and Wavelet Packet Transform. American International Journal of Contemporary Scientific Research, 2(6), 17-23.
18
Hong, L., & Kamruzzaman, J. A new convergence rate estimation of general artificial immune algorithm. Journal of Intelligent and Fuzzy Systems.
19
Rodríguez, R., Mexicano, A., Bila, J., Cervantes, S., & Ponce, R. (2015). Feature extraction of electrocardiogram signals by applying adaptive threshold and principal component analysis. Journal of Applied Research and Technology, 13(2), 261-269.
20
Frieß, J. L., Heselich, A., Ritter, S., Haber, A., Kaiser, N., Layer, P. G., & Thielemann, C. (2015). Electrophysiologic and cellular characteristics of cardiomyocytes after X-ray irradiation. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, 777, 1-10.
21
Kayte, S., Waghmare, K., & Gawali, B. Marathi Speech Synthesis: A review.
22
Wahab, W., & Gunawan, D. (2015). A New Selection Method of Anthropometric Parameters in Individualizing Head-Related Impulse Responses. Telkomnika, 13(3).
23
Ricard, B. (2015). U.S. Patent No. 9,113,044. Washington, DC: U.S. Patent and Trademark Office.
24
Sridhar, B., & Tadisetty, S. (2015, June). ERLS non parametric spectrum sensing for CR. In Advance Computing Conference (IACC), 2015 IEEE International (pp. 185-190). IEEE.
25
Satonkar, S. S., Pathak, V. M., & Khanale, P. B. Face Recognition Using Principal Component Analysis and Artificial Neural Network of Facial Images Datasets in Soft Computing.
26
Rahman, M., & Choi, G. S. (2015). Iterative Soft Decision Based Complex K-best MIMO Decoder. Signal Processing: An International Journal (SPIJ), 9(5), 54.
27
Lakshmi, m., raj, p., michael, p., tirupathi, r., gopi krishna, p., & bhavani, k. (2015). an insight into adaptive noise cancellation and comparison of algorithms. Journal of Theoretical & Applied Information Technology, 79(1).
28
Biswas, U., Hasan, K. R., Sana, B., & Maniruzzaman, M. (2015, May). Denoising ECG signal using different wavelet families and comparison with other techniques. In Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on (pp. 1-6). IEEE.
29
Arizabalo, R. D., González-Ávalos, E., & Korvin, G. (2015). Multifractal analysis of atmospheric sub-micron particle data. Atmospheric Research, 154, 191-203.
30
Rosu, M. C., & Hamed, Y. (2015, June). Methods for Denoising the ECG Signal in Wearable Systems. In Electronics, Computers and Artificial Intelligence (ECAI), 2015 7th International Conference on (pp. 1-6). IEEE.
31
Mannapperuma, K., Holton, B. D., Lesniewski, P. J., & Thomas, J. C. (2015). Performance limits of ICA-based heart rate identification techniques in imaging photoplethysmography. Physiological measurement, 36(1), 67.
32
Faek, F. K. (2015). Objective Gender and Age Recognition from Speech Sentences.
33
Pandey, D., & Dewangan, N. (2015, September). Performance analysis of pilot assisted channel estimation in OFDM. In Computer, Communication and Control (IC4), 2015 International Conference on (pp. 1-6). IEEE.
34
Rathinavelu, A., Sandhiya, C., & Saranya, K. (2015). A novel speech synthesizer using 3D facial model with gestures. International Journal on Disability and Human Development, 14(2), 141-146.
35
Mamankar, M. P. V., & Vyawahare, H. R. (2015). Design And Implementation Of Multiposes Face Recognization System.
36
Abukmeil, M. A., Elaydi, H., & Alhanjouri, M. (2015). Palmprint Recognitionvia Bandlet, Ridgelet, Wavelet and Neural Network. Journal of Computer Sciences and Applications, 3(2), 23-28.
37
Ahammed, K., Ershadullah, M., Heru, M. R. I., Islam, S., & Sazzad, Z. P.Design and implementation of digital filter bank to reduce noise and reconstruct the input signals.
38
Sankar, A. B., Madhusudhanan, N., & Selvi, J. A. V. Removal of Noise through ANFIS filtering. International Journal of Applied Engineering Research, 10(51), 2015.
39
Dube-Mawerewere, V. (2015). The Dinosaur of Judicial Disjuncture with Forensic Psychiatric Rehabilitation Processes in Zimbabwe. International Journal of Emergency Mental Health and Human Resilience, 2015.
40
Akkawar, M. A. B., & Burange, M. S. Review And Comparative Study of Face Recognition Using Different Neural Networking algorithm.
41
Jambukia, S. H., Dabhi, V. K., & Prajapati, H. B. (2015, March). Classification of ECG signals using machine learning techniques: A survey. In Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in (pp. 714-721). IEEE.
42
Pirsiavash, A., & Emadi, M. J. (2015, May). A simple channel estimation via biasing OFDM symbols. In Electrical Engineering (ICEE), 2015 23rd Iranian Conference on (pp. 268-273). IEEE.
43
Olubunmi, A. J., Olusayo, O. E., Bola, A. A., & Ayodeji, O. O. Performance Evaluation Of Selected Principal Component Analysis-Based Techniques For Face Image Recognition.
44
Pirsiavash, A., & Emadi, M. J. (2015, May). Rician channel characterization in OFDM systems. In Electrical Engineering (ICEE), 2015 23rd Iranian Conference on (pp. 303-307). IEEE.
45
Xuan, S., & Han, Y. (2015). Improved extreme value weighted sparse representational image denoising with random perturbation. Journal of Electronic Imaging, 24(6), 063004-063004.
46
Mousa, Y. N., & Abd-Alsalam, N. (2015). An Enhanced Empirical Method on Choosing the Highest Principal Features and the Number of Hidden Neurons in Principal Component Analysis-Artificial Neural Network Face Recognition based System. International Journal of Computer Applications, 111(14).
47
Jabarullah, B. M., & Babu, C. N. K. (2015). BPNN-hippoamy Algorithm for Statistical Features Classification. Indian Journal of Science and Technology, 8(14).
48
Alvarez, J. L. B., & Montero, F. E. H.Clasificación automática de modulaciones mpsk utilizando cumulantes de octavo orden.
49
Ebrahimzadeh, E., Pooyan, M., Jahani, S., Bijar, A., & Setaredan, S. K. (2015).Ecg signals noise removal: selection and optimization of the best adaptive filtering algorithm based on various algorithms comparison.Biomedical Engineering: Applications, Basis and Communications, 1550038.
50
Awad, M., & Khanna, R. (2015). Cortical Algorithms. In Efficient Learning Machines (pp. 149-165). Apress.
51
Rady, A., Shokair, M., El-Rabaie, E. S. M., & ElKorany, A. S. (2015). Efficient Technique for Sidelobe Suppression and PAPR Reduction in OFDM-Based Cognitive Radios. Wireless Personal Communications, 1-16.
52
Kharate, P. S., Raghorte, R. D., Gabhane, S. B., Khasare, S. R., Nikhar, K. D., Chauke, P., & Mishra, M. N. ECG Signal Compression Technique based on DWT & QRS Complex Estimation.
53
Mouradian, A. (2015). Study of Probabilistic Worst Case Inter-Beacon Delays Under Realistic Vehicular Mobility Conditions. In Ad-hoc, Mobile, and Wireless Networks (pp. 390-403). Springer International Publishing.
54
Abo-Zahhad, M., Ahmed, S. M., Sabor, N., & Al-Ajlouni, A. F. (2015). Wavelet Threshold-Based ECG Data Compression Technique Using Immune Optimization Algorithm. International Journal of Signal Processing, Image Processing and Pattern Recognition, 8(2), 347-360.
55
Ahammed, K., Ershadullah, M., Heru, M. R. I., Islam, S., & Sazzad, Z. P.Design and implementation of digital filter bank to reduce noise and reconstruct the input signals.
56
Al-Qaisi, A. (2015). Blind Source Separation of Mixed Noisy Audio Signals Using an Improved FastICA. Journal of Applied Sciences, 15(9), 1158.
57
Surekha, K. S., & Patil, B. P. (2015). Compression of ECG Signal Using Hybrid Technique. In Intelligent Systems in Science and Information 2014 (pp. 385-396). Springer International Publishing.
58
Abo-Zahhad, M., Ahmed, S. M., Sabor, N., & Al-Ajlouni, A. F. (2015). Wavelet Threshold-Based ECG Data Compression Technique Using Immune Optimization Algorithm. International Journal of Signal Processing, Image Processing and Pattern Recognition, 8(2), 347-360.
59
Tódero, S. A., & Macke, D. J. (2015). Capital social em equipes de trabalho: uma análise segundo o grau de formalização dos processos. Revista Brasileira de Gestão e Inovação (Brazilian Journal of Management & Innovation), 2(2), 54-80.
60
Ben-Ezra, Y., & Lembrikov, B. I. (2015). Application of Complex Wavelet Packet Transform (CWPT) in Coherent Optical OFDM (CO-OFDM) Communication Systems.
61
Should, S. W. L. I. O., Back, W. A. L., & Biswal, A. Daily Pulse: French President Meets Obama, Drones Will Need a Registration Too, and Bankers Get Paid Too Much, Says Banker Isabelle Roughol Daily Pulse: Where Are All the Electric Cars? The Jeff Bezos-Elon Musk Space Race Heats Up, A Penny Far Thing John C Abell.
62
Randive, N. (2015). Design & Implementation of Data Scrambler anf Descrambler system using VHDL. Global Journal of Computer Science and Technology, 15(2).
63
Kaklauskas, A. (2015). Web-based Biometric Computer Mouse Advisory System to Analyze a User’s Emotions and Work Productivity. In Biometric and Intelligent Decision Making Support (pp. 137-173). Springer International Publishing.
64
Biswas, U., Hasan, K. R., Sana, B., & Maniruzzaman, M. (2015, May). Denoising ECG signal using different wavelet families and comparison with other techniques. In Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on (pp. 1-6). IEEE.
65
Sridhar, B., & Tadisetty, S. (2015, June). ERLS non parametric spectrum sensing for CR. In Advance Computing Conference (IACC), 2015 IEEE International (pp. 185-190). IEEE.
66
Ajjaiah, H. B. M., & Hunagund, P. V. (2015). REVIEW PAPER ON DIFFERENT TECHNOLOGY ON ECHO CANCELLATION. International Journal, 3(7), 159-166.
67
Ahmed, A. U., & Zeidler, J. R. (2015). Novel Low-Complexity Receivers for Constant Envelope OFDM. Signal Processing, IEEE Transactions on, 63(17), 4572-4582.
68
Belkadid, J., Benbassou, A., El Ghzaoui, M., & Liakouti, A. Action of EM Disturbances on the Availability and Range of Indoor PLC Transmitters and Impact of Radiation on the Environment around Channel.
69
Singh, N., Godiyal, A. K., Panigrahi, B. K., Anand, S., & Santhosh, J. (2015, September). Source localization in alcoholic and control subjects to estimate cognitive load using EEG signal. In Computer, Communication and Control (IC4), 2015 International Conference on (pp. 1-5). IEEE.
70
Al-Qazzaz, N. K., Hamid Bin Mohd Ali, S., Ahmad, S. A., Islam, M. S., & Escudero, J. (2015). Selection of mother wavelet functions for multi-channel EEG signal analysis during a working memory task. Sensors, 15(11), 29015-29035.
71
Cheng, L., Xi, L., Zhao, D., Tang, X., Zhang, W., & Zhang, X. (2015). Improved modulation format identification based on Stokes parameters using combination of fuzzy c-means and hierarchical clustering in coherent optical communication system. Chinese Optics Letters, 13(10), 100604.
72
Massaoudi, Y., Elleuch, D., Mehdi, D., Damak, T., & Hashim, G. (2015). Comparison between non linear controllers applied to a dc-dc boost converter. International Journal of Innovative Computing, Information & Control, 11(3), 935.
73
Prashanti, G., & Sandhyarani, K. (2015, January). A New Approach for Data Hiding with LSB Steganography. In Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2 (pp. 423-430). Springer International Publishing.
74
ugeng, H., Wahab, W., & Gunawan, D. (2015). A New Selection Method of Anthropometric Parameters in Individualizing HRIR. TELKOMNIKA (Telecommunication Computing Electronics and Control), 13(3).
75
Hamdi, N., & Auhmani, K. (2015). A new approach Based on Quantum Clustering and Wavelet Transform for breast cancer Classification: Comparative study. International Journal of Electrical and Computer Engineering, 5(5).
76
Damarla, T. (2015). Battlefield Acoustics. Springer.
77
SAHOO, G. K. (2015). A Framework for Remote Patient Monitoring to Diagnose the Cardiac Disorders (Doctoral dissertation, National Institute of Technology Rourkela).
78
Hong Lu, Gong Chenglong, Wang Jingzhuo, & SOUTHERN. (2015). Elite class clonal selection algorithm Mean convergence rate estimate. Journal of Electronics, 43 (5), 916-921.
79
Martinez, L. G., Castro, J. R., Licea, G., & Rodriguez-Diaz, A. Using T2FL Toolbox to Improve RAMSET’s Decision Making Fuzzy Model for Software Engineering Role Assignment.
80
Venkatesh, C. (2015). Some investigations on channel Estimation techniques in multiband OFDM systems.
81
Yamanaka, Y., Hashimoto, S., Takasu, N. N., Tanahashi, Y., Nishide, S. Y., Honma, S., & Honma, K. I. (2015). Morning and evening physical exercise differentially regulate the autonomic nervous system during nocturnal sleep in humans. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 309(9), R1112-R1121.
82
Oraizi, H., & Soleimani, H. (2015). Optimum pattern synthesis of non-uniform spherical arrays using the Euler rotation. IET Microwaves, Antennas & Propagation.
83
Chatterjee, S., Chatterjee, S., & Poddar, D. R. (2015). Synthesis of linear array using Taylor distribution and Particle Swarm Optimisation. International Journal of Electronics, 102(3), 514-528.
84
Pandey, D., Bhatnagar, A., Kumar, A., Goel, P., & Chandra, M. Implementation of LMS and VSLMS algorithms for Speech Enhancement using TMS320C6713 DSP Processor.
85
Jimenez, L., Fabian, R., Pardo, B., Camilo, E., Gutierrez, C., & Edgar, A. (2015, September). Analysis performance of adaptive filters for system identification implemented over TMS320C6713 DSP platform. In Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium on (pp. 1-8). IEEE.
86
Singh, S., Tripathy, M., & Anand, R. S. (2015). Binary mask based method for enhancement of mixed noise speech of low SNR input. International Journal of Speech Technology, 18(4), 609-617.
87
Sultana, N., Kamatham, Y., & Kinnara, B. (2015, August). Performance analysis of adaptive filtering algorithms for denoising of ECG signals. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 297-302). IEEE.
88
Rohoden Jaramillo, K., & Ludeña Gonzalez, P. (2015, June). Heart sounds compression through wavelet transform coding. In Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on (pp. 1-5). IEEE.
89
Thakur, D., & Rathore, S. S. Comparison of ecg signal denoising algorithms in fir and wavelet domains.
90
Subramanian½¾, A., & Srivatsa, S. K. cluster identification for microarray gene expression data under conflict of interest.
91
Krishnan, R. (2015). A Moment Matching Based Fitting Algorithm for High Sigma Distribution Modeling.
92
Singh, A., Saini, B. S., & Singh, D. Heart Rate Variability Signal Processing and Interpretation–A Review.
93
Anoop, V., Rao, P. V., & Nidhin, M. (2015, April). Performance analysis of speech enhancement methods using adaptive algorithms and optimization techniques. In Communications and Signal Processing (ICCSP), 2015 International Conference on (pp. 1306-1310). IEEE.
94
Selvi, R. S., & Suresh, G. R. Hybridization of spectral filtering with particle swarm optimization for speech signal enhancement. International Journal of Speech Technology, 1-13.
95
Abo-Zahhad, M., Ahmed, S. M., Sabor, N., & Sasaki, S. (2015). Rearrangement of mobile wireless sensor nodes for coverage maximization based on immune node deployment algorithm. Computers & Electrical Engineering.
96
Acharya, P., & Agrawal, S. (2015). International journal of engineering sciences & management. Int. J. of Engg. Sci. & Mgmt.(IJESM), 5(2), 131-135.
97
Ilyes, R., & Ben Ayed, Y. (2014, March). Statistical parametric speech synthesis for Arabic language using ANN. In Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on (pp. 452-457). IEEE.
98
Lenin, S., & Malarkkan, S. (2014).An extensive review of significant researches on channel estimation in mimo-ofdm. journal of theoretical & applied information technology, 64(2).
99
Tang, X., & Shu, L. (2014). A Framework of Automatic Analysis System of Electrocardiogram Signals. Int’l J. of Signal Processing, Image Processing and Pattern Recognition, 7(2), 211-222.
100
Biswas, U., & Maniruzzaman, M. (2014, April). Removing power line interference from ECG signal using adaptive filter and notch filter. In Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on (pp. 1-4). IEEE.
101
Saady, M. R., El-Borey, H., El-Dahshan, E. S. A., & Yahia, A. S. (2014). Stand-Alone Intelligent Voice Recognition System. Journal of Signal and Information Processing, 5(04), 179.
102
Stewart, D., Seymour, R., Pass, A., & Ming, J. (2014). Robust audio-visual speech recognition under noisy audio-video conditions. Cybernetics, IEEE Transactions on, 44(2), 175-184.
103
Abukmeil, M. A., Elaydi, H., & Alhanjouri, M. Palmprint Recognition by using Bandlet, Ridgelet, Wavelet and Neural Network.
104
Singal, A., & Kedia, D. (2014).Design Issues and Challenges in MIMO-OFDM System: A Review. IUP Journal of Telecommunications, 6(1), 7.
105
Tódero, S. A. (2014). Capital social e o desenvolvimento das competências coletivas: um estudo de caso em duas empresas metalúrgicas.
106
Podder, P., Khan, T. Z., Khan, M. H., & Rahman, M. M. (2014). Comparative Performance Analysis of Hamming, Hanning and Blackman Window. International Journal of Computer Applications, 96(18).
107
Lenin, S., & Malarkkan, S. (2014).An extensive review of significant researches on channel estimation in mimo-ofdm. journal of theoretical & applied information technology, 64(2).
108
Batou, A. (2014). Dynamique des structures déformables et des solides rigides-Quantification des incertitudes et réduction de modele (Doctoral dissertation, Université Paris-Est).
109
Shaikh, M. S., & Gupta, K. (2014). A Review of Spectrum Sensing Techniques for Cognitive Radio. International Journal of Computer Applications, 94(8).
110
Tiwari, M. K., & Tripathi, N. Design and Implementation of a Novel Face Recognition System.
111
Anita, C., & Khushbu, S.illumination invariant face recognition system.
112
DIRIGER, T. D. H., & RECHERCHES, D. (2014). Dynamique des structures déformables et des solides rigides-Quantification des incertitudes et réduction de modele.
113
Li, J., Li, Z., Zhu, W., Chen, X., & Cheng, L. (2014). A new frequency-domain background noise power estimation algorithm. Simulation and Modelling Methodologies, Technologies and Applications, 60, 125.
114
Sharma, R., & Patterh, M. S. A Systematic Review of PCA and Its Different Form for Face Recognition.
115
Yadav, A., & Yadav, P. Face Recognition Techniques and Neural Network.
116
Tang, X., & Shu, L. (2014). Classification of Electrocardiogram Signals with RS and Quantum Neural Networks. Int’l J. of Multimedia and Ubiquitous Engineering, 9(2), 363-372.
117
El hanine, m., abdelmounim, e., haddadi, r., & belaguid, a. (2014).Electrocardiogram Signal Denoising Using Discrete Wavelet Transform. Computer Technology and Application, 5(2).
118
Kanhe, R. K., & Hamde, S. T. (2014). Wavelet-based compression of ECG signals. International Journal of Biomedical Engineering and Technology, 14(4), 297-314.
119
Meher, P. K., & Park, S. Y. (2014). Critical-path analysis and low-complexity implementation of the LMS adaptive algorithm. Circuits and Systems I: Regular Papers, IEEE Transactions on, 61(3), 778-788.
120
Jiao, Y., Cheung, R. Y., Chow, W. W., & Mok, M. P. (2014, August). Signed-gradient adaptive step size LMS algorithm for biomedical applications. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE (pp. 3208-3211). IEEE.
121
Biswas, U., Das, A., Debnath, S., & Oishee, I. (2014, May). ECG signal denoising by using least-mean-square and normalised-least-mean-square algorithm based adaptive filter. In Informatics, Electronics & Vision (ICIEV), 2014 International Conference on (pp. 1-6). IEEE.
122
Mendiratta, A., & Jha, D. (2014, January). Adaptive Noise Cancelling for audio signals using Least Mean Square algorithm. In Electronics, Communication and Instrumentation (ICECI), 2014 International Conference on (pp. 1-4). IEEE.
123
Wang, H. B., Yen, C. W., Liang, J. T., Wang, Q., Liu, G. Z., & Song, R. (2014). A Robust Electrode Configuration for Bioimpedance Measurement of Respiration. Journal of healthcare engineering, 5(3), 313-328.
124
Gallegos, E. A. T., Bustamante, F. O., & Cosío, F. A. Sistema de foto-antropometría automatizada y su uso en la personalización de funciones de transferencia acústica referidas a la cabeza (HRTF).
125
Abo-Zahhad, M., Ahmed, S. M., Sabor, N., & Sasaki, S. (2014, May). Coverage maximization in mobile Wireless Sensor Networks utilizing immune node deployment algorithm. In Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on (pp. 1-6). IEEE.
126
Malathi, A., & Karthikeyan, N. (2014, May). Performance analysis of acoustic echo cancellation using Adaptive Neruo Fuzzy Inference System. In Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on (pp. 1132-1136). IEEE.
127
Kiran, G. H. (2014). Noise Cancellation of ECG Signal Using Adaptive Technique. IJRCCT, 3(4), 556-562.
128
Kaushik, G., Sinha, H. P., & Dewan, L. (2014).Biomedical signals analysis by dwt signal denoising with neural networks. journal of theoretical and applied information technology, 62(1).
129
Biswas, U., Das, A., Debnath, S., & Oishee, I. (2014, May). ECG signal denoising by using least-mean-square and normalised-least-mean-square algorithm based adaptive filter. In Informatics, Electronics & Vision (ICIEV), 2014 International Conference on (pp. 1-6). IEEE.
130
Rothbucher, M., Kuhn, A., & Diepold, K. HRTF Customization using the LDV HRTF-database.
131
Wagh, R. D., Khandarkar, K. R., Shipne, D. D., & Kharde, S. P. (2014). Noise Removal from Electrocardiogram (ECG) a Comparison Approaches. Int J Adv Res Comp Eng Technol (IJARCET), 3(1), 47-51p.
132
Surekha, K. S., & Patil, B. P. (2014, August). ECG signal compression using hybrid 1D and 2D wavelet transform. In Science and Information Conference (SAI), 2014 (pp. 468-472). IEEE.
133
Abdelmounim, E., Haddadi, R., & Belaguid, A. (2014, November). A new simple and efficient technique for ECG compression based on leads converter and DWT coefficients thresholding. In Complex Systems (WCCS), 2014 Second World Conference on (pp. 638-643). IEEE.
134
Abdelmounim, E., Haddadi, R., & Belaguid, A. (2014, April). ElectroCardioGram signal denoising using Discrete Wavelet Transform. In Multimedia Computing and Systems (ICMCS), 2014 International Conference on (pp. 1065-1070). IEEE.
135
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