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authorGeorg Holzmann <grholzi@users.sourceforge.net>2005-07-12 14:09:53 +0000
committerGeorg Holzmann <grholzi@users.sourceforge.net>2005-07-12 14:09:53 +0000
commitefa45f81b5dcb9609b1e2365a51b7a25a1ba2ce0 (patch)
tree8c9598e22824a77457bc4150796eb65ddc387027 /adaptive/examples/08.decision-directed_equalization.pd
parentbf408e3e5a3c657758e61519fa5698a6f1526bce (diff)
initial commit of adaptive
svn path=/trunk/externals/grh/; revision=3317
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+#N canvas 490 469 479 338 PROBLEM_DESCRIPTION 0;
+#X text 57 137 possible symbols: -1 \, 1;
+#X text 55 160 the decision device is implemented by d=sign(y);
+#X text 72 40 DECISION-DIRECTED CHANNEL EQUALIZATION;
+#X text 27 189 The adaptive equalizer tries to invert the channel \,
+so that the overal system has a flat frequency response and there are
+almost no bit errors.;
+#X text 28 280 We simulate the transmission with a simple bandpass
+filter and a delay (= the channel).;
+#X text 28 241 Bit errors are plotted over time for equalized and unequalized
+transmission.;
+#X text 27 83 This patch simulates the equalization of a baseband transmission
+of a binary signal (similar to the adaptation process in e.g. a modem).
+;
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+#N canvas 493 226 453 208 OBSERVATIONS 0;
+#X text 21 30 OBSERVATIONS;
+#X text 19 77 You can see that if you train the system long enough
+there are almost no bit errors.;
+#X text 20 126 A critical parameter is the delay: If you don't find
+the exact delay of the channel adaptation works very bad for uncorrelated
+training sequences.;
+#X restore 28 130 pd OBSERVATIONS;
+#X text 27 85 ReadMe:;
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+#X text 37 244 H_chan(z);
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+#X text 26 22 DECISION-DIRECTED CHANNEL EQUALIZATION;
+#X text 323 111 unequalized transmission;
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+#X text 487 390 ---- 64 samples ----;
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+#X text 16 38 For this patch you will need the zexy external by IOhannes
+Zmoelnig: http://pd.iem.at;
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