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 elec ....etc

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Hi,

I am in my final year M.Sc Cs.

My project is

Vehicle tracking uisng kalman filter

And i have to implement in 20 days of time..

Please send me the source code to my e-mail id for tracking the vehicle using matlab ....etc

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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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SUBMITTED BY:
DEVENDER BUDHWAR
SAHIL SANDHU
AMIT KUMAR KARNA




Introduction

....etc

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presented by:
Y.Surya Deepthi


A role of kalman filters in global positioning system
INTRODUCTION
 Location tracking plays an important role in many applications
 In Kalman filtering method, the smoothing procedure by linear regression makes the estimated location more accurate than that of the GPS method
 The Kalman filtering method estimates velocity as well as location
 Recursive process of Kalman filtering
 An improved location tracking algorithm which uses velocity renovation process wi ....etc

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Aim of our Project
• The primary goal is to design a MATLAB based simulator for processing of speech signal with the aid of the Kalman filtering technique .To obtain a reconstructed speech signal, which is similar to the input signal.
• To achieve these results, sample speeches were obtained. These were modeled as an autoregressive (AR) process and represented in the state – space domain by the Kalman filter.
Introduction to Filter
 Definition of Filter.
 Block diagram:
Classif ....etc

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In the TMS (transcranial magnetic simulation) method, a pulsed magnetic field created by a coil positioned next to the scalp is used to locally depolarize neurons in brain cortex. It can be easily combined with electroencephalography(EEG) so that regional brain activity in response to direct cortical stimulation can be visulaized. This makes it an important tool for brain mapping and study. theTMS impulse generates high amplitude and long-lasting artifacts that corrupt the EEG trace which is a great disadvantage in the case of a EEG/TMS coregi ....etc

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please help me with a ppt on PMSM speed sensorless direct Torque control based on EKF ....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 usin ....etc

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Matlab code for vehicle tracking using unscented kalman filter ....etc

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