diff --git a/dsp/awgn.go b/dsp/awgn.go
new file mode 100644
index 0000000..aa60bb5
--- /dev/null
+++ b/dsp/awgn.go
@@ -0,0 +1,117 @@
+// Additive White Gaussian Noise Generator
+//
+// This is based off the SpanDSP implementation, which is based off some random
+// research paper.
+
+package dsp
+
+import (
+	"math"
+)
+
+const (
+	m1           = 259200
+	ia1          = 7141
+	ic1          = 54773
+	rm1          = 1.0 / m1
+	m2           = 134456
+	ia2          = 8121
+	ic2          = 28411
+	rm2          = 1.0 / m2
+	m3           = 243000
+	ia3          = 4561
+	ic3          = 51349
+	dbm0MaxPower = 3.14 + 3.02
+)
+
+// Awgn contains the white noise generator state information.
+type AWGN struct {
+	rms  float64
+	ix1  int64
+	ix2  int64
+	ix3  int64
+	r    [98]float64
+	gset float64
+	iset int
+}
+
+// Returns a new comfort noise generator. The volume param is in decibels and
+// -50.0 is a good value. The closer you get to 0.0, the louder the noise will
+// become.
+func NewAWGN(volume float64) (s *AWGN) {
+	return NewAWGN_DBM0(7162534, volume)
+}
+
+func NewAWGN_DBM0(idum int64, level float64) (s *AWGN) {
+	return NewAWGN_DBOV(idum, level-dbm0MaxPower)
+}
+
+func NewAWGN_DBOV(idum int64, level float64) (s *AWGN) {
+	s = new(AWGN)
+	if idum < 0.0 {
+		idum = -idum
+	}
+	s.rms = math.Pow(10.0, level/20.0) * 32768.0
+	s.ix1 = (ic1 + idum) % m1
+	s.ix1 = (ia1*s.ix1 + ic1) % m1
+	s.ix2 = s.ix1 % m2
+	s.ix1 = (ia1*s.ix1 + ic1) % m1
+	s.ix3 = s.ix1 % m3
+	s.r[0] = 0.0
+	for j := 1; j <= 97; j++ {
+		s.ix1 = (ia1*s.ix1 + ic1) % m1
+		s.ix2 = (ia2*s.ix2 + ic2) % m2
+		s.r[j] = (float64(s.ix1) + float64(s.ix2)*rm2) * rm1
+	}
+	s.gset = 0.0
+	s.iset = 0
+	return
+}
+
+func (s *AWGN) Get() int16 {
+	var fac, r, v1, v2, amp float64
+	if s.iset == 0 {
+		for {
+			v1 = 2.0*s.ran1() - 1.0
+			v2 = 2.0*s.ran1() - 1.0
+			r = v1*v1 + v2*v2
+			if r < 1.0 {
+				break
+			}
+		}
+		fac = math.Sqrt(-2.0 * math.Log(r) / r)
+		s.gset = v1 * fac
+		s.iset = 1
+		amp = v2 * fac * s.rms
+	} else {
+		s.iset = 0
+		amp = s.gset * s.rms
+	}
+	return fsaturate(amp)
+}
+
+func (s *AWGN) ran1() (res float64) {
+	var j int64
+	s.ix1 = (ia1*s.ix1 + ic1) % m1
+	s.ix2 = (ia2*s.ix2 + ic2) % m2
+	s.ix3 = (ia3*s.ix3 + ic3) % m3
+	j = 1 + ((97 * s.ix3) / m3)
+	if j > 97 || j < 1 {
+		return -1
+	}
+	res = s.r[j]
+	s.r[j] = (float64(s.ix1) + float64(s.ix2)*rm2) * rm1
+	return
+}
+
+// TODO(jart): How does FISTP work in Plan9 assembly?
+func fsaturate(damp float64) int16 {
+	if damp > float64(math.MaxInt16) {
+		return math.MaxInt16
+	}
+	if damp < float64(math.MinInt16) {
+		return math.MinInt16
+	}
+	return int16(damp)
+	// return int16(lrint(damp))
+}
diff --git a/dsp/awgn_test.go b/dsp/awgn_test.go
new file mode 100644
index 0000000..ffa6ce1
--- /dev/null
+++ b/dsp/awgn_test.go
@@ -0,0 +1,17 @@
+package dsp_test
+
+import (
+	"github.com/jart/gosip/dsp"
+	"testing"
+)
+
+func TestAWGN(t *testing.T) {
+	awgn := dsp.NewAWGN(-50.0)
+	samp := []int16{64, -28, 1, 34, -73}
+	for i, want := range samp {
+		got := awgn.Get()
+		if want != got {
+			t.Errorf("sample #%d: wanted %d but got %d", i, want, got)
+		}
+	}
+}