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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/5275
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dc.contributor.authorFung, Wai Cheong Williamen_US
dc.date.accessioned2008-12-10T01:23:41Z
dc.date.accessioned2017-09-19T09:10:55Z
dc.date.accessioned2019-02-12T07:28:00Z-
dc.date.available2008-12-10T01:23:41Z
dc.date.available2017-09-19T09:10:55Z
dc.date.available2019-02-12T07:28:00Z-
dc.date.issued2008en_US
dc.identifier.other2008eefwc382en_US
dc.identifier.urihttp://144.214.8.231/handle/2031/5275-
dc.description.abstractMy project title is frequency estimation which means determine the frequency of a received signal. The aim of this project is to develop a single-tone frequency estimation base on linear prediction technique. In this project, we don’t know the original frequency(ω) of the original signal, what we get is just a noisy signal. We try to use different approaches to retrieve the original signal and the frequency from the noisy received signals. After that, we calculate the difference between the original frequency(ω) and estimated frequency(ω) in order to evaluate its performance (by the help of CRLB). We have three main tasks to complete a) To implement the single-tone methods which is either biased estimators or unbiased estimators 1) Biased estimators includes: modified covariance (MC), Pisarenko Harmonic Decomposer (PHD) 2) Unbiased estimators includes: Reformed Pisarenko Harmonic Decomposer (RPHD), Maximum Likelihood (ML), Two stage Autocorrelation, Modified Pisarenko Harmonic Decomposition (MPHD) b) To implement the performance bound. There are two performance bounds implement in this project namely Cramer-Rao Lower Bound (CRLB). These performance bounds are in terms of minimum achievable variance provided by any unbiased estimator. c) To observe and compare the performance of different methods with the help of Cramer-Rao Lower Bound( CRLB). All the implementations are carried out under the environment of Matlab.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleDevelopment of frequency estimation algorithmsen_US
dc.contributor.departmentDepartment of Electronic Engineeringen_US
dc.description.supervisorSupervisor: Dr. So, H C.; Assessor: Dr. Chan, Stanley C Fen_US
Appears in Collections:Electrical Engineering - Undergraduate Final Year Projects 

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