February 2015
Intermediate to advanced
184 pages
4h 57m
English
book
Automatic Modulation Classification: Principles, Algorithms and Applications
by Zhechen Zhu, Asoke K. Nandi
Content preview from Automatic Modulation Classification: Principles, Algorithms and Applications
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List of Symbols
- A
- Modulation alphabet
- H
- Channel matrix
- h
- Channel coefficient
- I
- In-phase segment
- L
- Number of signal realizations
- N
- Number of samples / signal length
- Q
- Quadrature segment
- Pcc
- Classification accuracy
- r
- Received signal
- s
- Transmitted signal
- W
- Bandwidth
- w
- Weight
- ℑ
- Imaginary component
-
- Candidate modulation pool
- ℜ
- Real component
- Θ
- Channel parameter set
- Λ
- Likelihood ratio
- σ2
- Signal variance
- ω
- Additive noise
-
- Hypothesis model
-
- Likelihood
- log
- Log-likelihood
-
- Modulation
-
- Modulation classification feature
-
- Modulation classification feature set
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.