GPS and INS Integration with Kalman Filtering for Direct Georeferencing of Airborne Imagery

1 INTRODUCTION
Georeferencing can be defined as a process of obtaining knowledge about the origin of some event
in space-time. Depending on the sensor type, this origin needs to be defined by a number of
parameters such as time, position (location), attitude (orientation) and possibly also the velocity of
the object of the interest. When this information is attained directly by means of measurements
from sensors on-board the vehicle ....etc

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D A N S I M O N


Filtering is desirable in many situations in engineering and embedded systems. For example, radio communication signals are corrupted with noise. A good filtering algorithm can remove the noise from electromagnetic signals while retaining the useful information. Another example is power supply voltages. Uninterruptible power supplies are devices that filter line voltages in order to smooth out undesirable fluctuations that might otherwise shorten the lifespan of electrical devices such as computers and p ....etc

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Fuzzy Mathematical Morphology uses concepts from fuzzy set theory. All science was meant to benefit people in their lives, and more precisely to solve their life problems by simplifying the problem and then treating it by analysing to arrive at the appropriate solutions. It was a way to solve problems, to express expressions that describe the amount of things, ambiguous expressions or something similar, worrying scientists and specialists. Simple and efficient methods can be obtained to improve the image through related transformations, defined ....etc

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i want to present a seminar on fuzzification and defuzzification pls provide me a ppt for fuzzification and defuzzification ....etc

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i need image fuzzification matlab code for edge detection so plz provide me ....etc

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kindly give me matlab code for impulse noise detect and removal by fuzzy technique ....etc

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A NEW ITERATIVE SPEECH ENHANCEMENT SCHEME BASED ON KALMAN FILTERING



ABSTRACT

A new iterative speech enhancement scheme that can be seen as an approximation to the Expectation-Maximization (EM) algorithm is proposed. The algorithm employs a Kalman filter that models the excitation source as a spectrally white process with a rapidly time-varying variance, which calls for a high temporal resolution estimation of this variance.

. INTRODUCTION

Single channel noise reduction of speech signals using ....etc

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noise reduction by fuzzy image filter coding & huber fractal image compression source code using matlab ....etc

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A simple fuzzy method to remove mixed
Gaussian-impulsive noise from colour images ....etc

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Abstract

t-A new two-dimensional (2-D) block Kalman filtering method is presented which uses a full-plane image model to generate a more accurate filtered estimate of an image that has been corrupted by additive noise and full-plane blur. Causality is maintained within the filtering process by employing multiple concurrent block estimators. In addition, true state dynamics are preserved, resulting in an accurate Kalman gain matrix. Simulation results on a test image corupted by additive white Gaussian noise are presented for various image mo ....etc

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