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Titlebook: Computational Signal Processing and Analysis; Select Proceedings o Asoke K. Nandi,N Sujatha,John Sahaya Rani Alex Conference proceedings 20

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Sustainability Across Industries,ency Cepstral Coefficient (MFCC), Linear Prediction Cepstrum Coefficient (LPCC), Perceptual Linear Predictive (PLP), and Wavelet Cepstral Coefficient (WCC) techniques are analyzed for extracting speaker-specific information. The design of WCC method is done for this work. Hidden Markov Model (HMM) i
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https://doi.org/10.1057/978-1-137-60159-9 brain. Cochlear implants have been developed to help the patients with congenital or acquired hearing loss. The size of the cochlear nerve is a prerequisite for the successful outcome of cochlear implant surgery. Hence, an accurate segmentation of cochlear nerve is a critical assignment in computer
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Active Vibration Control Based on LQR Technique for Two Degrees of Freedom System,e vibration control is discussed in a simple way. For that, the mathematical model of structure, the optimal placement of sensor and actuator, and control laws of active vibration control are discussed. Finally, vibration control using LQR technique has been applied on two degrees of freedom system to illustrate the active vibration control.
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Detecting Happiness in Human Face Using Minimal Feature Vectors,tter efficiency. This paper proposes detecting happiness of human face using minimal facial features from geometric deformable model and supervised classifier. First, the face detection and tracking is observed by constrained local model (CLM). Using CLM grid node, the entire and minimal feature vec
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Analysis of Myocardial Ischemia from Cardiac Magnetic Resonance Images Using Adaptive Fuzzy-Based Mdisorder that causes irreversible damage to heart muscles. The images considered for this study are obtained from medical image computing and computer-assisted intervention (MICCAI) database. Adaptive fuzzy-based multiphase level set method is utilized to extract endocardium and epicardium of left v
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