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AnadaptiveKalmanfilterfordynamicharmonicstateestim
Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
Kalman ...
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AnadaptiveKalmanfilterfortheenhancementofspeechsig
This paper deals with the problem of speech enhancement when a
corrupted speech signal with an additive colored noise is the only
information available for processing. Kalman filtering is known as
an effective speech enhancement technique, in which ...
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RobustadaptiveKalmanfilteringwithunknowninputs.rar
... standard optimum Kalman filter demands complete
knowledge of the system parameters, the input forcing functions, and
the noise statistics. Several adaptive methods have already been devised
to obtain the unknown information using the measurements and ...
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IS95_baseband_simulation.rar
... -95 baseband simulation for 1 data channel of 9.6 KBps rate.
The simulation is written for static channel and AWGN noise. The packet include:
1) Packet Builder (Viterbi Encoding, Interleaver, PN generation)
2) Modulator (RRC filter)
3) Demodulator ...
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PTbox.zip
... including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results ...
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Mukherjee.rar
Study on High-efficiency and Low-noise Wireless Power Transmission for Solar Power Station/Satellite
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Tesla-Symp06_Budimir.rar
Study on High-efficiency and Low-noise Wireless Power Transmission for Solar Power Station/Satellite
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wptshinohara.rar
Study on High-efficiency and Low-noise Wireless Power Transmission for Solar Power Station/Satellite
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