Displaying 5 results from an estimated 5 matches for "r2a".
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2013 Jan 09
3
PESQ calculated MoS-Values for Speex
...er), MoS value,
and a subjective opinion, wether I can still understand the file, or not.
The MoS value is (or rather *should be*) calculated by PESQ (ITU P.862:
http://www.itu.int/rec/T-REC-P.862/en).
(I know the pesq scale ranges from -0,5 - 4,5, where MoS is usually from 0
- 5)
*Pesq Settings:*
R2a: Sampling Rate: 8kHz, Overall bit rate: 80kbit/s
R3: Sampling Rate: 16kHz, Overall bit rate: 96kbit/s
*Pesq Results:*
R2a (mode 2) of G711 returned Mos-Values from *0.656* to *3.33* (parameter
+8000 in pesq)
R3 (mode 4) of G711 returned Mos-Values from *3.981* to *4.269* (parameter
+16000 in pesq)...
2013 Jan 09
0
PESQ calculated MoS-Values for Speex
...matter), MoS value,
and a subjective opinion, wether I can still understand the file, or not.
The MoS value is (or rather should be) calculated by PESQ (ITU P.862: http://www.itu.int/rec/T-REC-P.862/en).
(I know the pesq scale ranges from -0,5 - 4,5, where MoS is usually from 0 - 5)
Pesq Settings:
R2a: Sampling Rate: 8kHz, Overall bit rate: 80kbit/s
R3: Sampling Rate: 16kHz, Overall bit rate: 96kbit/s
Pesq Results:
R2a (mode 2) of G711 returned Mos-Values from 0.656 to 3.33 (parameter +8000 in pesq)
R3 (mode 4) of G711 returned Mos-Values from 3.981 to 4.269 (parameter +16000 in pesq)
Speex Se...
2013 Sep 05
2
Pronósticos con modelos robusto de series de tiempo
Alguien me podría sugerir un paquete en R para generar pronóticos con modelos robusto de series de tiempo.
Saludos
Enrique RAMOS
[[alternative HTML version deleted]]
2013 Sep 05
0
Pronósticos con modelos robusto de series de tiempo
...$fitted)^2)/var(x);
rmse2 <- mean((x-f2$fitted)^2)/var(x);
fitted<-f3$fitted;#fitted[1:52]<-x[1:52];
rmse3 <-
mean((x[(frequency(x)+1):length(x)]-fitted[(frequency(x)+1):length(x)])^2)/var(x[(frequency(x)+1):length(x)]);
#lab<-data.frame("F","R2","R2a","RSS")
mat<-cbind(c(rmse1),c(rmse2),c(rmse3))
tab<-as.data.frame(mat)
dimnames(tab)[[1]]<-c("RMSE")
dimnames(tab)[[2]] <-c("STL","ARIMA","NNAR")
print(tab)
# Plot all predictions together
par(mar=c(5.1, 4.1, 4.1, 8.1)...
2011 May 08
3
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...tatus > System Information ]
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