Last chance! 50% off unlimited learning
Sale ends in
input |
output |
$ -\pi/16 \ge Arg(r) < \pi/16$ |
0000 |
$ \pi/16 \ge Arg(r) < 3 \pi/16$ |
0001 |
$ 3 \pi/16 \ge Arg(r) < 5 \pi/16$ |
0011 |
$ 5 \pi/16 \ge Arg(r) < 7 \pi/16$ |
0010 |
$ 7 \pi/16 \ge Arg(r) < 9 \pi/16$ |
0110 |
$ 9 \pi/16 \ge Arg(r) < 11 \pi/16$ |
0111 |
$ 11 \pi/16 \ge Arg(r) < 13 \pi/16$ |
0101 |
$ 13 \pi/16 \ge Arg(r) < 15 \pi/16$ |
0100 |
$ 15 \pi/16 \ge Arg(r) < 17 \pi/16$ |
1100 |
$ -15 \pi/16 \ge Arg(r) < -13 \pi/16$ |
1101 |
$ -13 \pi/16 \ge Arg(r) < -11 \pi/16$ |
1111 |
$ -11 \pi/16 \ge Arg(r) < -9 \pi/16$ |
1110 |
$ -9 \pi/16 \ge Arg(r) < -7 \pi/16$ |
1010 |
$ -7 \pi/16 \ge Arg(r) < -5 \pi/16$ |
1011 |
$ -5 \pi/16 \ge Arg(r) < -3 \pi/16$ |
1001 |
f16pskdemod(r)
eyediagram
;
f16pskmod
; f16qamdemod
;
f16qammod
; f64qamdemod
;
f64qammod
; f8pskdemod
;
f8pskmod
; fNo
;
fbpskdemod
; fbpskmod
;
fqpskdemod
; iqdensityplot
;
iqscatterplot
; stemplot
M=16
Es=1
Eb = Es/log2(M)
Nsymbols=20
Nbits=log2(M)*Nsymbols
bits <- sample(0:1,Nbits, replace=TRUE)
s <- f16pskmod(bits)
EbNodB=7
No = Eb/(10^(EbNodB/10))
n <- fNo(Nsymbols,No,type="complex")
r <- s+n
bitsr <- f16pskdemod(r)
biterrs<-bits[bitsr!=bits]
b<-factor(bits)
Pberr=length(biterrs)/length(bits)
Run the code above in your browser using DataLab