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diff --git a/help/NLMSCC~-help.pd b/help/NLMSCC~-help.pd
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@@ -0,0 +1,274 @@
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+#X text 473 280 (array-sizes have to be >= then FIR_size);
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+#X text 5 396 filtered output signal;
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+#X text 423 310 4.arg: <symbol> table-name of W;
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+#X text 133 318 minimum input value;
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+#X text 278 143 2;
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+#X text 312 148 gamma * blocksize);
+#X text 295 148 +;
+#X text 244 148 x[n-i];
+#X text 175 137 my(n) =;
+#X text 224 132 _________________________________;
+#X text 29 138 normalized learn rate:;
+#X text 246 243 <;
+#X text 250 237 |;
+#X text 250 249 |;
+#X text 250 230 |;
+#X text 250 256 |;
+#X text 250 270 |;
+#X text 250 223 |;
+#X text 254 206 _;
+#X text 253 270 _;
+#X text 271 211 W > W_top;
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+#X text 260 246 &&(W <= W_top);
+#X text 256 235 (W >= W_bottom);
+#X text 175 243 W(k+1 \, i) =;
+#X text 250 216 |;
+#X text 250 263 |;
+#X text 346 275 ...... W(k+1 \, i) = W_botton(i);
+#X text 334 212 ........ W(k+1 \, i) = W_top(i);
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+#X text 120 75 error:;
+#X text 117 57 output:;
+#X text 27 242 coefficient iteration:;
+#X text 358 243 .... W(k+1 \, i) = W(k \, i) + my(n)* e(n)* x(n);
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+#X text 426 221 Normalized Least Mean Square (linear adaptive FIR-filter)
+;
+#X text 455 232 with Coefficient Constraint;
+#X text 422 350 (C) 2005 \, m.noisternig & t.musil \, IEM \, Graz \,
+Austria;
+#X text 450 363 [noisternig \, musil]_AT_iem.at;
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