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Title: Fast Re-Route FRR and Fast Convergence FC reduce
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Title: ACOUSTIC NOISE CANCELLATION USING ADAPTIVE FILTERING
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Posted By: Vidya Krishnan P
Created at: Thursday 17th of August 2017 05:28:40 AM
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ACOUSTIC NOISE CANCELLATION USING ADAPTIVE FILTERING


Abstract
All the physical systems when they operate produce physical noise, which is a mixing of an infinitive number of sinusoidal harmonics with different frequencies. So, the initial signal information is corrupted with this noise. This complex signal, may be very noisy, so much that the human ear or other system which may follow it, cannot receive correct the initial signal.

2. Literature Survey
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Title: adaptive lms filtering for speech enhancement matlab program
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Posted By: csevenkatramana
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Title: an adaptive kalman filter for ecg signal enhancement matlab code
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an adaptive kalman filter for ecg signal enhancement matlab code

Hi
I am PhD student and very interesting for implementation your paper An adaptive Kalman Filter for ECG signal Enhancement
I am very pleasure if your Matlab code send for me.
thank you very much

an adaptive kalman filter for ecg signal enhancement matlab code

Hi
I am PhD student and very interesting for implementation your paper An adaptive Kalman Filter for ECG signal Enhancement
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Title: A NEW ITERATIVE SPEECH ENHANCEMENT SCHEME BASED ON KALMAN FILTERING
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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

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Title: adaptive lms filtering for speech enhancement
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Posted By: anoop_swathy
Created at: Thursday 05th of October 2017 05:09:43 AM
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Title: Kalman Filtering
Page Link: Kalman Filtering -
Posted By: Rohan2100608
Created at: Thursday 17th of August 2017 06:45:42 AM
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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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Title: GPS and INS Integration with Kalman Filtering for Direct Georeferencing of Airborne
Page Link: GPS and INS Integration with Kalman Filtering for Direct Georeferencing of Airborne -
Posted By: shockzz
Created at: Thursday 17th of August 2017 06:43:19 AM
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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
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