Digital Signal Processing Reference
In-Depth Information
2
n
N
p
p
n
C
n
=
cos
=
cos
8
2
n
N
p
p
n
S
n
=
sin
=
sin
8
with
N
=
16,
X
(1) can be obtained from Figure F.2:
()
=
X
1
3 414
.
+
3 414
.
C
1
-
1 414 1
.
S
=
3 414
.
+
3 154
.
-
0 541
.
=
6 027
.
as in Figure F.2. Equation (F.18) can be used to verify
X
(1)
=
1
-
j
5.028, as obtained
using the FFT in Example 6.2. Note that, for example,
()
=-
(
)
+
(
)
X
15
1 414
.
+ -
1 414
.
C
15
3 414 15
.
S
=-
1 414
.
-
1 306
.
-
1 306
.
=-
4 0269
.
as shown in Figure 6.15.
REFERENCES
1.
R. N. Bracewell, The fast Hartley transform,
Proceedings of the IEEE
, Vol. 72, Aug. 1984,
pp. 1010-1018.
2.
R. N. Bracewell, Assessing the Hartley transform,
IEEE Transactions on Acoustics,
Speech, and Signal Processing
, Vol. ASSP-38, 1990, pp. 2174-2176.
3.
R. N. Bracewell,
The Hartley Transform
, Oxford University Press, New York, 1986.
4.
R. N. Bracewell,
The Fourier Transform and its Applications
, McGraw Hill, New York,
2000.
5.
H. V. Sorensen, D. L. Jones, M. T. Heidman, and C. S. Burrus, Real-valued fast Fourier
transform algorithms,
IEEE Transactions on Acoustics, Speech, and Signal Processing
,
Vol. ASSP-35, 1987, pp. 849-863.
6.
H. S. Hou, The fast Hartley transform algorithm,
IEEE Transactions on Computers
, Vol.
C-36, Feb. 1987, pp. 147-156.
7.
H. S. Hou, Correction to “The fast Hartley transform algorithm,”
IEEE Transactions on
Computers
, Vol. C-36, Sept. 1987, pp. 1135-1136.
8.
A. Zakhor and A. V. Oppenheim, Quantization errors in the computation of the discrete
Hartley transform,
IEEE Transactions on Acoustics, Speech, and Signal Processing
, Vol.
ASSP-35, Oct. 1987, pp. 1592-1601.
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