Digital Signal Processing https://i-scholar.in/index.php/CiiTDSP <p> 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.</p><p>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.</p> Coimbatore Institute of Information Technology en-US Digital Signal Processing 0974–9705 A Study on Antidiabetic and Antioxidant Efficacy of Bone Marrow Stem Cells on STZE-Induced Male Albino Wistar Rats https://i-scholar.in/index.php/CiiTDSP/article/view/207329 <p class="Abstract">Diabetes has become one of the most serious threats to public health worldwide, with an estimated 117 million cases in the world's population. Diabetes is a serious and complex chronic disease characterized by impaired metabolism of carbohydrates, proteins and fats due to hyperglycemia and an absolute or relative lack of the hormone insulin. Diabetes may be clinically suspected or recognized due to the onset of one or more characteristic symptoms (e.g. polyuria, multiple episodes, bulimia, and weight loss). Excessive insulin deficiency can lead to ketoacidosis. The development of ketoacidosis is the leading cause of death in diabetic men. The main objective of this study was to evaluate the antidiabetic activity of dental pulp cells in diabetic Wistar albino mice induced by streptozotocin (STZ), and to calculate the biochemical evaluation of diabetes drugs in the pharmaceutical industry in the normal and treatment groups.</p> C. Pihoker C. Jefferies 2020-12-01 2020-12-01 12 Removal of Heavy Metals from the Aqueous Solution Derived from Phoenix Dactylifera https://i-scholar.in/index.php/CiiTDSP/article/view/207331 <p class="Abstract">Other conventional methods of treating wastewater contaminated with metals, such as precipitation, ion exchange, membrane electrolytic separation, adsorption, etc., are inefficient or expensive. Adsorption is one of the most widely used methods of removing metal ions from aqueous solutions. The large amounts of natural materials or certain wastes produced in agricultural production represent unused resources, are widely available, and are environmentally friendly, so they have the potential to be used as low-cost adsorbents. Scanning Electron Microscopy (SEM) results can show structural deviations of jujube seed powder, and energy dispersive X-ray spectroscopy (EDX) images reveal the sample's elemental composition to reveal the absorbed sample. Studies have shown that jujube seeds may be the best potential bioadsorbent to remove heavy metals from the sample.</p> H Orak S Tunali P Bagri 2020-12-01 2020-12-01 12