diff --git a/amodem/equalizer.py b/amodem/equalizer.py
index 3b7abd0..5189684 100644
--- a/amodem/equalizer.py
+++ b/amodem/equalizer.py
@@ -38,22 +38,23 @@ class Equalizer(object):
                             omegas=self.omegas, Nsym=self.Nsym)
         return np.array(list(itertools.islice(symbols, size)))
 
-    def equalize_signal(self, signal, expected, order, lookahead=0):
-        signal = [np.zeros(order-1), signal, np.zeros(lookahead)]
-        signal = np.concatenate(signal)
-        length = len(expected)
 
-        A = []
-        b = []
+def train(signal, expected, order, lookahead=0):
+    signal = [np.zeros(order-1), signal, np.zeros(lookahead)]
+    signal = np.concatenate(signal)
+    length = len(expected)
 
-        for i in range(length - order):
-            offset = order + i
-            row = signal[offset-order:offset+lookahead]
-            A.append(np.array(row, ndmin=2))
-            b.append(expected[i])
+    A = []
+    b = []
 
-        A = np.concatenate(A, axis=0)
-        b = np.array(b)
-        h = lstsq(A, b)[0]
-        h = h[::-1].real
-        return h
+    for i in range(length - order):
+        offset = order + i
+        row = signal[offset-order:offset+lookahead]
+        A.append(np.array(row, ndmin=2))
+        b.append(expected[i])
+
+    A = np.concatenate(A, axis=0)
+    b = np.array(b)
+    h = lstsq(A, b)[0]
+    h = h[::-1].real
+    return h
diff --git a/amodem/recv.py b/amodem/recv.py
index 5269968..1a22968 100644
--- a/amodem/recv.py
+++ b/amodem/recv.py
@@ -75,7 +75,7 @@ class Receiver(object):
 
         signal = sampler.take(signal_length + lookahead)
 
-        coeffs = self.equalizer.equalize_signal(
+        coeffs = equalizer.train(
             signal=signal[prefix:-postfix],
             expected=train_signal,
             order=order, lookahead=lookahead
diff --git a/tests/test_equalizer.py b/tests/test_equalizer.py
index 75fd5f9..a18a7ff 100644
--- a/tests/test_equalizer.py
+++ b/tests/test_equalizer.py
@@ -51,10 +51,9 @@ def test_signal():
     den = np.array([1, -0.6, 0.1])
     num = np.array([0.5])
     y = dsp.lfilter(x=x, b=num, a=den)
-    e = equalizer.Equalizer(config)
 
     lookahead = 2
-    h = e.equalize_signal(
+    h = equalizer.train(
         signal=y, expected=x, order=len(den), lookahead=lookahead)
     assert norm(h[:lookahead]) < 1e-12