CiiT International Journal of Digital Signal Processing
The Journal of Signal Processing Systems publishes research, survey on the design and implementation of signal processing systems. In addition to original, peer reviewed content; the journal features high quality workshop, symposium, and conference papers with an emphasis on system design.
The scope of the journal includes developing technologies in Signal Processing for Bio-Informatics, Signal Processing for Bio-Medical and Cognitive Science, Signal Processing for Cognitive Radio, Signal Processing for Internet, Wireless and Communications, Signal Processing for Security, Signal Processing for Sensor Networks, Sonar Signal Processing and Localization, Sparse Transform and Compressed Sensing, Spectrum Estimation and Modeling, Speech and Audio Coding, Speech Synthesis and Recognition, Statistic Learning, Machine Learning and Pattern Recognition, Statistical Analysis of Brain Signals after Transcranial Magnetic Stimulation, TF Spectrum Analysis and Wavelet, Adaptive Filtering and Signal Processing, Array Signal Processing, Chaos Theory in EEG Brain Signals, Chaos Theory in MEG Brain Signals, Communication Signal Processing, Compressive Signal Processing and Sensing, Computer Vision and Virtual Reality, Hardware Implementation for Signal Processing, Higher Order Spectral Analysis, MEG Signals Processing in Biomedical Research, Multimedia and Human-Computer Interaction, Non-Stationary Signal Analysis and Time-Frequency Analysis, Optical Signal Processing, Pattern Recognition ,Radar Signal Processing.
Print: ISSN 0974 – 9705 & Online: ISSN 0974 – 9594
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Vol 9, No 1 (2017)
Table of Contents
|Dr. S. Preetha, S. Preethikha, S. Premiya jasmine||1-3|
|Human – Computer Interaction|
|Dr. G. Satyavathy, M. RachelBlessie||4-6|
|Dr. T. Deepa, B. Gayathri, N. Kogila||7-9|
|Financial and Risk Analysis in Data Mining|
|S. Janani Priya, P. Sangeethaa||10-12|
|Dr. T. Deepa, R. Malliga, R. Aishwarya||13-16|
This work is licensed under a Creative Commons Attribution 3.0 License.
ISSN: 0974 – 9594