diff --git a/dsp/transform/doc.go b/dsp/transform/doc.go
new file mode 100644
index 00000000..bb4f0b02
--- /dev/null
+++ b/dsp/transform/doc.go
@@ -0,0 +1,6 @@
+// Copyright ©2024 The Gonum Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+// Package transform provides important transforms on signals used in digital signal processing.
+package transform // import "gonum.org/v1/gonum/dsp/transform"
diff --git a/dsp/transform/hilbert.go b/dsp/transform/hilbert.go
new file mode 100644
index 00000000..bf444ee1
--- /dev/null
+++ b/dsp/transform/hilbert.go
@@ -0,0 +1,76 @@
+// Copyright ©2024 The Gonum Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+package transform
+
+import (
+	"gonum.org/v1/gonum/dsp/fourier"
+)
+
+// Hilbert implements an approximate Hilbert transform that allows calculation
+// of an approximate analytical signal of a real signal, and determine the
+// real envelope of a signal.
+type Hilbert struct {
+	fft  *fourier.CmplxFFT
+	work []complex128
+}
+
+// NewHilbert returns a new Hilbert transformer for signals of size n.
+// The transform is most efficient when n is a product of small primes.
+// n must not be less than one.
+func NewHilbert(n int) *Hilbert {
+	return &Hilbert{
+		fft:  fourier.NewCmplxFFT(n),
+		work: make([]complex128, n),
+	}
+}
+
+// Len returns the length of signals that are valid input for this Hilbert transform.
+func (h *Hilbert) Len() int {
+	return len(h.work)
+}
+
+// AnalyticSignal computes the analytical signal of a real signal, and stores
+// the result in the dst slice, returning it.
+//
+// If the dst slice is nil, a new slice will be created and returned. The dst slice
+// must be the same length as the input signal, otherwise the method will panic.
+func (h *Hilbert) AnalyticSignal(dst []complex128, signal []float64) []complex128 {
+	if len(signal) != h.Len() {
+		panic("transform: input signal length mismatch")
+	}
+
+	if dst == nil {
+		dst = make([]complex128, len(signal))
+	} else if len(dst) != h.Len() {
+		panic("transform: destination length mismatch")
+	}
+
+	for i, v := range signal {
+		h.work[i] = complex(v, 0)
+	}
+
+	// Forward FFT of the signal.
+	coeff := h.fft.Coefficients(dst, h.work)
+	for i := range h.work {
+		h.work[i] = 0
+	}
+
+	// Multiply positive frequencies by 2, zero out negative frequencies.
+	// However, leave dc unchanged (and nyquist when n%2 == 0).
+	h.work[0] = coeff[0]
+	for i, d := range coeff[1 : len(coeff)/2+1] {
+		h.work[i+1] = d * 2
+	}
+	if len(coeff)%2 == 0 {
+		h.work[len(coeff)/2] = coeff[len(coeff)/2]
+	}
+
+	// Normalize the results so they have a similar amplitude to the input
+	unnorm := h.fft.Sequence(dst, h.work)
+	for i, u := range unnorm {
+		unnorm[i] = u / complex(float64(len(unnorm)), 0)
+	}
+	return unnorm
+}
diff --git a/dsp/transform/hilbert_example_test.go b/dsp/transform/hilbert_example_test.go
new file mode 100644
index 00000000..2f571dd4
--- /dev/null
+++ b/dsp/transform/hilbert_example_test.go
@@ -0,0 +1,56 @@
+// Copyright ©2024 The Gonum Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+package transform
+
+import (
+	"fmt"
+	"math/cmplx"
+)
+
+func ExampleHilbert_AnalyticSignal() {
+	// Samples is a set of real amplitudes that make up a signal.
+	samples := []float64{1, 0, 2, 0, 4, 0, 2, 0}
+
+	// Initialize a Hilbert transform and 'demodulate' to get the
+	// analytic signal.
+	// The result is the complex I/Q (In-Phase / Quadrature) demodulation
+	// of the input signal.
+	h := NewHilbert(len(samples))
+	iqSamples := h.AnalyticSignal(nil, samples)
+
+	// We can compute the instantaneous amplitude of the signal
+	// (or 'envelope') using absolute value. Analyzing the envelope
+	// is an easy way to measure changes in amplitude over time in a
+	// signal.
+	envelope := make([]float64, len(samples))
+	for ind, iq := range iqSamples {
+		envelope[ind] = cmplx.Abs(iq)
+	}
+
+	// We can also compute the instantaneous phase of each part of the
+	// signal using the 4-quadrant arc-tangent. With multiple samples,
+	// the instantaneous phase can be used to estimate instantaneous
+	// frequency of a signal.
+	phase := make([]float64, len(samples))
+	for ind, iq := range iqSamples {
+		phase[ind] = cmplx.Phase(iq)
+	}
+
+	for i, iq := range iqSamples {
+		fmt.Printf("ind=%d -> I=%.4f, Q=%.4f, envelope=%.4f, phase=%.4f\n",
+			i, real(iq), imag(iq), envelope[i], phase[i])
+	}
+
+	// Output:
+	//
+	// ind=0 -> I=1.0000, Q=0.0000, envelope=1.0000, phase=0.0000
+	// ind=1 -> I=-0.0000, Q=-0.8107, envelope=0.8107, phase=-1.5708
+	// ind=2 -> I=2.0000, Q=0.0000, envelope=2.0000, phase=0.0000
+	// ind=3 -> I=-0.0000, Q=-1.3107, envelope=1.3107, phase=-1.5708
+	// ind=4 -> I=4.0000, Q=0.0000, envelope=4.0000, phase=0.0000
+	// ind=5 -> I=0.0000, Q=1.3107, envelope=1.3107, phase=1.5708
+	// ind=6 -> I=2.0000, Q=0.0000, envelope=2.0000, phase=0.0000
+	// ind=7 -> I=0.0000, Q=0.8107, envelope=0.8107, phase=1.5708
+}
diff --git a/dsp/transform/hilbert_test.go b/dsp/transform/hilbert_test.go
new file mode 100644
index 00000000..3a671cdb
--- /dev/null
+++ b/dsp/transform/hilbert_test.go
@@ -0,0 +1,57 @@
+// Copyright ©2024 The Gonum Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+package transform
+
+import (
+	"testing"
+
+	"gonum.org/v1/gonum/cmplxs"
+)
+
+var hilbertAnalyticSignalTests = []struct {
+	name string
+	in   []float64
+	want []complex128
+}{
+	{
+		name: "zeros",
+		in:   []float64{0, 0, 0, 0},
+		want: []complex128{0, 0, 0, 0}},
+	{
+		name: "whole_components",
+		in:   []float64{1, 2, 3, 4},
+		want: []complex128{1 + 1i, 2 - 1i, 3 - 1i, 4 + 1i},
+	},
+	{
+		name: "irrational_imaginary_components",
+		in:   []float64{1, 2, 3, 4, 5},
+		want: []complex128{
+			1 + 1.7013016167i,
+			2 - 1.3763819204i,
+			3 - 0.6498393924i,
+			4 - 1.3763819204i,
+			5 + 1.7013016167i,
+		},
+	},
+}
+
+func TestHilbertAnalytic(t *testing.T) {
+	const tol = 1e-10
+
+	for _, test := range hilbertAnalyticSignalTests {
+		t.Run(test.name, func(t *testing.T) {
+			h := NewHilbert(len(test.in))
+			if h.Len() != len(test.in) {
+				t.Errorf("unexpected Hilbert transform length: got:%d, want:%d", h.Len(), len(test.in))
+			}
+
+			dst := make([]complex128, len(test.in))
+			got := h.AnalyticSignal(dst, test.in)
+			if !cmplxs.EqualApprox(got, test.want, tol) {
+				t.Errorf("unexpected Hilbert transform result:\ngot: %v\nwant:%v", got, test.want)
+			}
+		})
+	}
+}