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very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Stud…
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very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Stud…
Image enhancement in frequency domain using Fourier center frequency, Gaussian lowpass filter, Low pass filter, high pass filter. …
·Driver face tracking using Gaussian mixture model(GMM)
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The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shif…
Demonstrate ricernd, ricepdf, and ricestat, in the context of simulating Rician distributed noise for Magnetic Resonance Imaging m…
Earthquake magnitudo registered in San Francisco, during last 2 years plus white noise data
Commercially available active noise control headphones rely on fixed analog controllers to drive "anti-noise" loudspeakers. Our de…
Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a di…
Study on High-efficiency and Low-noise Wireless Power Transmission for Solar Power Station/Satellite