This research work presents an oesophageal speech improvement algorithm using Wavelet and Kalman Filtering approach. In both techniques, it has been used different mother wavelet for wavelet approach and different measurement noises for Kalman filtering. People who have suffered from larynx cancer have enormously low intelligibility due to the surgery. A new algorithm has been developed to impr...

Abstract: For multi-sensor system with colored measurement noises, using the observation transformation, the system can be converted into an equivalent system with correlated measurement noises. Based on this method, using the classical Kalman filtering, this study proposed a Covariance Intersection (CI) fusion Kalman estimator, which can handle the fused filtering, prediction and smoothing pro...

Original scientific paper The Kalman filter is a very general method of filtering which can solve problems such as optimal estimation, prediction, noise filtering, and optimal control. A problem with detection of correct path of moving objects is the received noisy data. Therefore, it is possible that the information is incorrectly detected. There are Different methods to extract the correct da...

The Kalman filter is the optimal minimum-variance state estimator for linear dynamic systems with Gaussian noise. In addition, the Kalman filter is the optimal linear state estimator for linear dynamic systems with non-Gaussian noise. For nonlinear systems various modifications of the Kalman filter (e.g., the extended Kalman filter, the unscented Kalman filter, and the particle filter) have bee...

A Micro Inertial Measurement unit (μIMU) which is based on Micro-Electro-Mechanical Systems (MEMS) accelerometers and gyroscope sensors is developed for real-time recognition of human hand motion. By using appropriate filtering, transformation and sensor fusion algorithms, a ubiquitous digital writing instrument is produced for recording handwriting on any surface. In this paper, we propose a m...

Predictive coding appears to be one of the fundamental working principles of brain processing. Amongst other aspects, brains often predict the sensory consequences of their own actions. Predictive coding resembles Kalman filtering, where incoming sensory information is filtered to produce prediction errors for subsequent adaptation and learning. However, to generate prediction errors given moto...

Speech enhancement aims to improve speech quality by using various algorithms. The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal processing techniques. Enhancing of speech degraded by noise, or noise reduction, is the most important field of speech enhancement. In this paper a Robust speech enhancement m...

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In this project we consider the problem of estimating the state of an unstable system in presence of correlated losses using a Kalman Filter . This scenario arises in performing vehicle tracking or navigation over a wireless channel. Since wireless channels are inherently lossy in nature, it is possible for the Kalman estimator to lose some observations. We study the behavior of Kalman filter i...