Collaboration diagram for SNR estimators:
|
Classes | |
| class | digital_impl_mpsk_snr_est |
| A parent class for SNR estimators, specifically for M-PSK signals in AWGN channels. More... | |
| class | digital_impl_mpsk_snr_est_simple |
| SNR Estimator using simple mean/variance estimates. More... | |
| class | digital_impl_mpsk_snr_est_skew |
| SNR Estimator using skewness correction. More... | |
| class | digital_impl_mpsk_snr_est_m2m4 |
| SNR Estimator using 2nd and 4th-order moments. More... | |
| class | digital_impl_snr_est_m2m4 |
| SNR Estimator using 2nd and 4th-order moments. More... | |
| class | digital_impl_mpsk_snr_est_svr |
| Signal-to-Variation Ratio SNR Estimator. More... | |
| class | digital_mpsk_snr_est_cc |
| A block for computing SNR of a signal. More... | |
| class | digital_probe_mpsk_snr_est_c |
| A probe for computing SNR of a signal. More... | |
Enumerations | |
| enum | snr_est_type_t { SNR_EST_SIMPLE = 0, SNR_EST_SKEW, SNR_EST_M2M4, SNR_EST_SVR } |
| Enum for the type of SNR estimator to select. More... | |
Enumeration Type Documentation
| enum snr_est_type_t |
Enum for the type of SNR estimator to select.
Below are some ROUGH estimates of what values of SNR each of these types of estimators is good for. In general, these offer a trade-off between accuracy and performance.
- SNR_EST_SIMPLE: Simple estimator (>= 7 dB)
- SNR_EST_SKEW: Skewness-base est (>= 5 dB)
- SNR_EST_M2M4: 2nd & 4th moment est (>= 1 dB)
- SNR_EST_SVR: SVR-based est (>= 0dB)
