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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rao, T.S. Yar, M. |
| Copyright Year | 1982 |
| Description | Author affiliation: University of Manchester, Manchester, U.K. (Rao, T.S.) |
| Abstract | In the transmission of signals, one of the common models used for transmission is the frequency modulated model. Suppose the original signal is of the formf_{t} = \beta \sin(\thetat+\psi), then the contaminated frequency Modulated signal is given byy_{t} = A \cos(\theta_{c}t + \phi + \beta\sin(\thetat + \psi)) + z_{t} (t = 1,2 ....), where θcis the carrier frequency, θ is the frequency of the original signal, φ and ψ are random phases, each having a uniform distribution over the interval [-π,π], β is a modulation index. Assuming ztis a second order stationary process, we consider the spectral analysis of the process yt. Suppose we have a sample y1,y2.....yn, we consider the (maximum likelihood) estimation of the frequencies θc, θ, β and A on the basis of the sample, under the assumptions (i) {zt} is a Gaussian white noise; (ii) {zt} is a second order stationary Gaussian process. |
| Starting Page | 1042 |
| Ending Page | 1045 |
| File Size | 71610 |
| Page Count | 4 |
| File Format | |
| DOI | 10.1109/ICASSP.1982.1171711 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1982-05-03 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Statistical analysis Frequency modulation Phase modulation Maximum likelihood estimation Frequency estimation Random variables Signal processing Random processes Spectral analysis Maximum likelihood detection |
| Content Type | Text |
| Resource Type | Article |
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