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Citation Report | Signal Processing: An International Journal (SPIJ)
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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 - 2021

SUBMISSION
September 30, 2021

NOTIFICATION
October 31, 2021

PUBLICATION
November 2021

 
         
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RESEARCH CENTERS, INSTITUTES & UNIVERSITIES
 
SEE COMPLETE LIST OF PUBLICATIONS
 

SPIJ CITATION IMPACT
3.894

Refer to In-Process Citation Report for SPIJ for complete details.
 
LIST OF JOURNALS
Complete list of Open Access journals with free access its publications.
 
For Inquiries & Fast Response cscpress@cscjournals.org

CITATION REPORT FOR SPIJ

Below calculations are based on citations that are extracted through Google Scholar until December 31, 2020.


Total Citations = 480
Self Citations = 1
Total Publications = 123


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

Citation Impact
(480 - 1) / 123 = 3.894

 
SR
M-CODE
CITATION
1
Rahman, M., & Choi, G. S. (2016). Hardware Architecture of Complex K-best MIMO Decoder. arXiv preprint arXiv:1602.06009.
2
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.
3
Kaladharan, N. English Text to Speech Conversion using Indian Pronunciation.
4
Waghmare, K., Kayte, S., & Gawali, B. (2016). Analysis of Pitch and Duration in Speech Synthesis using PSOLA. Analysis, 4(4).
5
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.
6
Rahman, M., & Choi, G. S. (2016). Hardware Architecture of Complex K-best MIMO Decoder. arXiv preprint arXiv:1602.06009.
7
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.
8
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.
9
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.
10
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.
11
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.
12
Frieß, J. L. (2016). Einfluss ionisierender Strahlung auf die elektrophysiologischen Eigenschaften kardialer Zellen.
13
Xu, J. (2016). A new method for reliability assessment of structural dynamic systems with random parameters. Structural Safety, 60, 130-143.
14
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.
15
Krishnan, R., Wu, W., Bodapati, S., & He, L. Accurate Multi-segment Probability Density Estimation Through Moment Matching.
16
Patil, M. V., & Srinivas, M. C. Fully Automated Artifact Removal for BCI.
17
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.
18
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.
19
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.
20
Subramanian½¾, A., & Srivatsa, S. K. cluster identification for microarray gene expression data under conflict of interest.
21
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.
22
Oraizi, H., & Soleimani, H. (2015). Optimum pattern synthesis of non-uniform spherical arrays using the Euler rotation. IET Microwaves, Antennas & Propagation.
23
Ben-Ezra, Y., & Lembrikov, B. I. (2015). Application of Complex Wavelet Packet Transform (CWPT) in Coherent Optical OFDM (CO-OFDM) Communication Systems.
24
Arizabalo, R. D., González-Ávalos, E., & Korvin, G. (2015). Multifractal analysis of atmospheric sub-micron particle data. Atmospheric Research, 154, 191-203.
25
Alvarez, J. L. B., & Montero, F. E. H.Clasificación automática de modulaciones mpsk utilizando cumulantes de octavo orden.
26
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.
27
Jabarullah, B. M., & Babu, C. N. K. (2015). BPNN-hippoamy Algorithm for Statistical Features Classification. Indian Journal of Science and Technology, 8(14).
28
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).
29
Mamankar, M. P. V., & Vyawahare, H. R. (2015). Design And Implementation Of Multiposes Face Recognization System.
30
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.
31
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.
32
Akkawar, M. A. B., & Burange, M. S. Review And Comparative Study of Face Recognition Using Different Neural Networking algorithm.
33
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.
34
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.
35
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.
36
Awad, M., & Khanna, R. (2015). Cortical Algorithms. In Efficient Learning Machines (pp. 149-165). Apress.
37
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.
38
Singh, A., Saini, B. S., & Singh, D. Heart Rate Variability Signal Processing and Interpretation–A Review.
39
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.
40
Venkatesh, C. (2015). Some investigations on channel Estimation techniques in multiband OFDM systems.
41
Damarla, T. (2015). Battlefield Acoustics. Springer.
42
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).
43
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.
44
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.
45
Hong, L., & Kamruzzaman, J. A new convergence rate estimation of general artificial immune algorithm. Journal of Intelligent and Fuzzy Systems.
46
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.
47
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.
48
Sankar, A. B., Madhusudhanan, N., & Selvi, J. A. V. Removal of Noise through ANFIS filtering. International Journal of Applied Engineering Research, 10(51), 2015.
49
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.
50
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.
51
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.
52
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.
53
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.
54
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.
55
Al-Qaisi, A. (2015). Blind Source Separation of Mixed Noisy Audio Signals Using an Improved FastICA. Journal of Applied Sciences, 15(9), 1158.
56
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.
57
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.
58
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.
59
Kayte, S., Waghmare, K., & Gawali, B. Marathi Speech Synthesis: A review.
60
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.
61
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.
62
Rahman, M., & Choi, G. S. (2015). Iterative Soft Decision Based Complex K-best MIMO Decoder. Signal Processing: An International Journal (SPIJ), 9(5), 54.
63
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.
64
Faek, F. K. (2015). Objective Gender and Age Recognition from Speech Sentences.
65
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.
66
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.
67
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.
68
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).
69
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.
70
Wahab, W., & Gunawan, D. (2015). A New Selection Method of Anthropometric Parameters in Individualizing Head-Related Impulse Responses. Telkomnika, 13(3).
71
Ricard, B. (2015). U.S. Patent No. 9,113,044. Washington, DC: U.S. Patent and Trademark Office.
72
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.
73
Pandey, D., Bhatnagar, A., Kumar, A., Goel, P., & Chandra, M. Implementation of LMS and VSLMS algorithms for Speech Enhancement using TMS320C6713 DSP Processor.
74
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.
75
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.
76
Thakur, D., & Rathore, S. S. Comparison of ecg signal denoising algorithms in fir and wavelet domains.
77
Acharya, P., & Agrawal, S. (2015). International journal of engineering sciences & management. Int. J. of Engg. Sci. & Mgmt.(IJESM), 5(2), 131-135.
78
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.
79
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.
80
Hong Lu, Gong Chenglong, Wang Jingzhuo, & SOUTHERN. (2015). Elite class clonal selection algorithm Mean convergence rate estimate. Journal of Electronics, 43 (5), 916-921.
81
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.
82
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.
83
Ajjaiah, H. B. M., & Hunagund, P. V. (2015). REVIEW PAPER ON DIFFERENT TECHNOLOGY ON ECHO CANCELLATION. International Journal, 3(7), 159-166.
84
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.
85
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.
86
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.
87
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).
88
SAHOO, G. K. (2015). A Framework for Remote Patient Monitoring to Diagnose the Cardiac Disorders (Doctoral dissertation, National Institute of Technology Rourkela).
89
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.
90
Krishnan, R. (2015). A Moment Matching Based Fitting Algorithm for High Sigma Distribution Modeling.
91
Randive, N. (2015). Design & Implementation of Data Scrambler anf Descrambler system using VHDL. Global Journal of Computer Science and Technology, 15(2).
92
Ahmed, A. U., & Zeidler, J. R. (2015). Novel Low-Complexity Receivers for Constant Envelope OFDM. Signal Processing, IEEE Transactions on, 63(17), 4572-4582.
93
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.
94
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.
95
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.
96
Xuan, S., & Han, Y. (2015). Improved extreme value weighted sparse representational image denoising with random perturbation. Journal of Electronic Imaging, 24(6), 063004-063004.
97
Liu Zhan, Shijin Qian, Wuren Bin, Xing Yong, & Yang Rui. (2014). Synthesis of multiple parabolic antenna side lobe suppression. Microwave Technology, 30 (1), 29-33.
98
Orazi, H., Soleimani, H., & Azadkhah, R. (2014). Synthesis of linearly polarised patterns of conical arrays by the method of least square. IET Microwaves, Antennas & Propagation, 9(2), 185-191.
99
Chatterjee, S., & Chatterjee, S. (2014). Pattern synthesis of centre fed linear array using Taylor one parameter distribution and restricted search Particle Swarm Optimization. Journal of Communications Technology and Electronics, 59(11), 1112-1127.
100
Charles, S., & Govardhan, A. (2014). Secured Wireless Data Transmission over a Noisy AWGN Channel with Double Steganography and AES Cryptography.
101
Malhotra, L., & Gupta, N. (2014). A DWT and DCT based Hybrid Approach for Audio Watermarking.
102
Manjunatha Reddy, H. S. (2014). Design of image steganographic systems for covert communication.
103
Pramanik, M., & Sharma, K. Analysis of Visual Cryptography, Steganography Schemes and its Hybrid Approach for Security of Images.
104
Ghosh, B. R., Banerjee, S., Dey, S., Ganguli, S., & Sarkar, S. (2014, January). Off-line signature verification system using weighted complete bipartite graph. In Business and Information Management (ICBIM), 2014 2nd International Conference on (pp. 109-113). IEEE.
105
Mahajan, R., & Bansal, D. (2014, October). Hybrid multichannel EEG compression scheme for tele-health monitoring. In Reliability, Infocom Technologies and Optimization (ICRITO)(Trends and Future Directions), 2014 3rd International Conference on (pp. 1-6). IEEE.
106
Ben-Ezra, Y., Brodeski, D., & Lembrikov, B. I. (2014, July). High spectral efficiency OFDM based on complex wavelet packets. In Transparent Optical Networks (ICTON), 2014 16th International Conference on (pp. 1-3). IEEE.
107
Kaur, H., & Talwar, R. (2014). Optimal Selection of Wavelet and Threshold Using Cuckoo Search for Noise Suppression in Speech Signals. International Review on Computers and Software (IRECOS), 9(9), 1496-1506.
108
Acharya, P.Speech enhancement using unbiased normalized adaptive filtering technique.
109
SUMAN, M. (2014).Enhancement of compressed noisy speech signal.
110
Acharya, P.Speech enhancement using unbiased normalized adaptive filtering technique.
111
Acharya, P.Speech enhancement using unbiased normalized adaptive filtering technique.
112
Husssain, L. (2014). Classification of Human Faces and Non Faces Using Machine Learning Techniques. Global Journal on Technology, (6).
113
Toufiq, R., Chowdhury, M. S. H., & Islam, M. R. (2014). Face Detection and Recognition System Using Back-Propagation Neural Network Classifier. Journal of Artificial Intelligence Research & Advances, 1(1), 21-26.
114
Biswas, A., Ghose, M. K., & Pandit, M. (2014). Comparison of Different Neural Network Architectures for Classification of Feature Transformed Data for Face Recognition. International Journal of Computer Applications, 96(12).
115
Hijriah, A., Fauziyah, M., & Dewatama, D. (2014). Implementasi JST Backpropagation pada Face Recognition untuk Percepatan Proses Sistem Absensi. Jurnal Elektronika Otomasi Industri, 1(1).
116
Mucha, C. M. (2014). Theorie und Empirie des Phonästhems (Doctoral dissertation, lmu).
117
Aldhahab, A., Atia, G., & Mikhael, W. B. (2014, August). Supervised facial recognition based on multi-resolution analysis and feature alignment. In Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on (pp. 137-140). IEEE.
118
Toufiq, R., & Islam, M. R. (2014, April). Face recognition system using PCA-ANN technique with feature fusion method. In Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on (pp. 1-5). IEEE.
119
Tiwari, M. K., & Tripathi, N. Design and Implementation of a Novel Face Recognition System.
120
Anita, C., & Khushbu, S.illumination invariant face recognition system.
121
Sharma, R., & Patterh, M. S. A Systematic Review of PCA and Its Different Form for Face Recognition.
122
Yadav, A., & Yadav, P. Face Recognition Techniques and Neural Network.
123
Abukmeil, M. A., Elaydi, H., & Alhanjouri, M. Palmprint Recognition by using Bandlet, Ridgelet, Wavelet and Neural Network.
124
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).
125
El hanine, m., abdelmounim, e., haddadi, r., & belaguid, a. (2014).Electrocardiogram Signal Denoising Using Discrete Wavelet Transform. Computer Technology and Application, 5(2).
126
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.
127
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.
128
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.
129
Haddadi, R., Abdelmounim, E., & Belaguid, A. (2014, April). Discrete Wavelet Transform based algorithm for recognition of QRS complexes. In Multimedia Computing and Systems (ICMCS), 2014 International Conference on (pp. 375-379). IEEE.
130
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).
131
Patwari, A. K., Pansari, D., Singh, V. P., & Singh, V. P. Nav view search.
132
Patwari, A. K., Pansari, A. P. D., & Singh, V. P. Analysis of ECG Signal Compression Technique Using Discrete Wavelet Transform for Different Wavelets. signal, 5, 7.
133
Patwari, A. K., Pansari, A. P. D., & Singh, V. P. A Survey of ECG Signal Compression Techniques based on Discrete Wavelet Transform.
134
Almisreb, A. A., Abidin, A. F., & Tahir, N. M. (2014, December). Comparison of speech features for Arabic phonemes recognition system based Malay speakers. In Systems, Process and Control (ICSPC), 2014 IEEE Conference on (pp. 79-83). IEEE.
135
Ismail, A., Idris, M. Y. I., Noor, N. M., Razak, Z., & Yusoff, Z. (2014).Mfcc-vq approachfor qalqalah tajweed rule checking. Malaysian Journal of Computer Science, 27(4).
136
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.
137
Kanhe, R. K., & Hamde, S. T. (2014). Wavelet-based compression of ECG signals. International Journal of Biomedical Engineering and Technology, 14(4), 297-314.
138
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