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16 results for “Signal transformation”
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Research ArticleOpen accessIn the keywordsA Rigorous Proof for the Invariant Study of the Problem in Section VI in "Matched Subspace Detectors"Fangyuan Nan, Yaonan Wang, Fuhai LiProblem statement: This research provided rigorous proof for the invariant study of the problem in section VI in "matched subspace detectors". About 14 years ago an important research entitled "matched subspace detectors" was published in IEEE transactions on signal processing, Vol. 42, No. 8, August 1994. Since its publication, the study has been widely cited in many areas. The main … …Journal of Mathematics and Statistics, Vol. 5, Issue 2 · 30 Jun 2009 · 6,974 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Comparison of Sub Phonetic Model with Input Signal ProcessingDr E. Ramaraj, E. ChandraThe quest to arrive at a better model for signal transformation for speech has resulted in striving to develop better signal representations and algorithm. The article explores the word model which is a concatenation of state dependent senones as an alternate for phoneme. The Research Work has an objective of involving the senone with the Input signal processing an algorithm … …Journal of Computer Science, Vol. 2, Issue 7 · 31 Jul 2006 · 6,291 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessIn the abstractLiDAR-Based Obstacle Detection and Avoidance for Navigation and Control of an Unmanned Ground Robot Using Model Predictive ControlSai Charan Dekkata, Sun Yi, M. A. Muktadir, Selorm GarfoUnmanned Ground Vehicles (UGVs) have, as of late, been utilized in a wide assortment of utilizations because of their flexibility, diminished expense, and quick response, among other benefits. Search and Rescue (SAR) is quite possibly the most conspicuous zones for the work of UGVs instead of a monitored mission, mainly due to its impediments on the expenses, human resources, and … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 30 Mar 2023 · 8,213 accessesView PDFCite
InvestigationOpen accessIn the abstractDesign and Realization of Pre-Amplifier and Filters for on-Board Radar SystemN. Dinesh Kumar, R. Divya Ravali, Panchavati R. SrirekhaToday's warfare situation incorporates a considerable measure of innovative weaponry and every nation is attempting to outmaneuver the other utilizing high engineering, henceforth it is of most extreme criticalness to be at the front line of the bleeding edge innovation and having the best weapons conceivable to secure the country. One of the innovations which give the one having it … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 9 Nov 2015 · 7,803 accessesView PDFCite
Research ArticleOpen accessIn the abstractAndroid Based Energy Aware Framework for Porting Legacy ApplicationsNaeem Zafar AzeemiTrend is growing towards using complex multimedia functions on smaller devices. In this study, we explore the effect of migrating legacy signal processing software applications algorithms from large form factor devices to the smaller one such as handheld mobile devices known as Energy Conscious Mobile Computing Systems (EConMCS). We concentrate on Source Code Volatility (SCV), including inherent algorithm complexity and … …American Journal of Applied Sciences, Vol. 11, Issue 12 · 3 Jan 2015 · 6,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL SPEECH ENHANCEMENT APPROACH BASED ON MODIFIED DCT AND IMPROVED PITCH SYNCHRONOUS ANALYSISV. R. Balaji, S. SubramanianSpeech enhancement has become an essential issue within the field of speech and signal processing, because of the necessity to enhance the performance of voice communication systems in noisy environment. There has been a number of research works being carried out in speech processing but still there is always room for improvement. The main aim is to enhance the apparent … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 21 Nov 2013 · 6,796 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETERMINATION OF EPILEPTIC DISORDER WITH DISCRETE WAVELET TRANSFORMS AND NEURAL NETWORK CLASSIFIERS. T. Sadish Kumar, N. KasthuriNowadays Epileptic disorder is a most challenge aspects in brain activation. Electroencephalograph (EEG) is one of the popular procedures to understand the human brain condition. The activation of brain will be changed due to the symptoms of neurological disorder. We have been proposed a procedure to find epilepsy disorder, using discrete wavelet transform and neural network classifier. The EEG classification … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Performance of Multivariate Bernoulli Model based Documents Clustering Algorithms using Transformation TechniquesPerumal Pitchandi, Nedunchezhian RajuProblem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvariant Image Watermarking Using Accurate Zernike MomentsIsmail A. Ismail, Mohamed A. Shouman, Khalid M. Hosny, Hayam M. Abdel SalamProblem statement: Digital image watermarking is the most popular method for image authentication, copyright protection and content description. Zernike moments are the most widely used moments in image processing and pattern recognition. The magnitudes of Zernike moments are rotation invariant so they can be used just as a watermark signal or be further modified to carry embedded data. The computed … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jul 2010 · 8,009 accessesView PDFCite