Bastian Bloessl
27 lines
1019 B
R
27 lines
1019 B
R
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fft.shift <- function(sym) {
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sym <- matrix(sym, ncol=64)
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# the explicit dimensions are required
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# if sym contains only one row
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m1 <- matrix(sym[,33:64], ncol=32)
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m2 <- matrix(sym[, 1:32], ncol=32)
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return(cbind(m1, m2))
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}
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### symbols as defined in the standard
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sym <- c(1, 1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 0, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1)
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freq <- c(rep(0, 6), sym, rep(0, 5))
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pre <- fft(fft.shift(freq), inverse=T) / sqrt(52)
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for(i in seq(1, 64, 4)) {
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cat("\t\tgr_complex(", sprintf("% .4f", Re(pre[ i])), ", ", sprintf("% .4f", Im(pre[ i])), "), ", sep="")
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cat( "gr_complex(", sprintf("% .4f", Re(pre[i+1])), ", ", sprintf("% .4f", Im(pre[i+1])), "), ", sep="")
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cat( "gr_complex(", sprintf("% .4f", Re(pre[i+2])), ", ", sprintf("% .4f", Im(pre[i+2])), "), ", sep="")
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cat( "gr_complex(", sprintf("% .4f", Re(pre[i+3])), ", ", sprintf("% .4f", Im(pre[i+3])), "),\n", sep="")
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}
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