changing to new helpfile format

svn path=/trunk/externals/grh/; revision=7214

4 files changed, 0 insertions, 835 deletions

diff --git a/adaptive/doc/help-lms2~.pd b/adaptive/doc/help-lms2~.pd
deleted file mode 100755
index 6910a02..0000000
--- a/adaptive/doc/help-lms2~.pd
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-#X text 35 166 init arg1: nr. of coefficients;
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-#X text 50 74 -> y[n] = c0[n]*x[n] + c1[n]*x[n-1] + c2[n]*x[n-2] +
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-#X text 32 195 The LMS Adaptation Algorithm:;
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deleted file mode 100755
index b16149e..0000000
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-#X text 34 354 e[n] ... error sample at time n \, LMS tries to minimize
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-#X text 35 382 x[n] ... tap-input vector at time n;
-#X text 71 241 with e[n] = d[n] - y[n];
-#X text 33 33 An adaptive system is simply a FIR filter with the coefficients
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-#X text 36 440 How to choose mu ?;
-#X text 36 463 Sufficient (deterministic) stability condition:;
-#X text 32 195 The normalized LMS Adaptation Algorithm:;
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-#X msg 387 331 mu \$1;
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diff --git a/adaptive/doc/help-nlms~.pd b/adaptive/doc/help-nlms~.pd
deleted file mode 100755
index d58ef68..0000000
--- a/adaptive/doc/help-nlms~.pd
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-#X text 89 260 input signal x[n];
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-#X text 177 302 (desired signal);
-#X text 108 385 output signal y[n];
-#X text 35 172 init arg1: nr. of coefficients;
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-#X text 206 622 (c) Georg Holzmann <grh@mur.at> \, 2005;
-#X text 36 481 some more info:;
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-#X text 360 54 for Pure Data;
-#X text 34 562 in the example folder !;
-#X text 35 548 For much more examples see patches;
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-#X text 36 134 Normalized LMS: normalized least mean square;
-#X text 146 147 adaptation algorithm;
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-#X text 35 135 x[n] ... input signal of the system;
-#X text 35 120 c[n] ... coefficient vector of the system;
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-#X text 35 398 d[n] ... desired signal \, reference signal;
-#X text 50 74 -> y[n] = c0[n]*x[n] + c1[n]*x[n-1] + c2[n]*x[n-2] +
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-#X text 35 312 mu ... step-size parameter (learning rate);
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-#X text 36 463 Sufficient (deterministic) stability condition:;
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-#X text 275 147 <- try different mu;
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-#X text 242 110 <- clear to start new adaptation;
-#X text 189 461 -- 1024 samples --;
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