參數(shù)資料
型號(hào)： PDSP16510AGCPR
廠(chǎng)商： Zarlink Semiconductor Inc.
英文描述： Stand Alone FFT Processor
中文描述： 攻殼機(jī)動(dòng)隊(duì)FFT處理器
文件頁(yè)數(shù)： 17/23頁(yè)
文件大?。?/td> 190K
代理商： PDSP16510AGCPR
PDSP16510A
17
trated in Table 7. The results are obtained from the reference
quoted, which should be consulted for a full mathematical
treatment. The significance of each parameter is outlined
below :
Highest Side Lobe Level
The inherent rectangular window has sidelobes which
are only 13dB down from the mainlobe. These severely limit
the dynamic range. The object of the window is to improve this
situation with better side load attenuation.
Mid-Point Loss
In line with the filter concept it is possible to conceive of
an additional processing loss for a tone of frequency mid-way
between two bins. This is defined as the ratio of the coherent
gains of two tones, one at the mid-point and one at the sample
point. It is expressed in dB in Table 8.
Overall loss
An overall figure for the reduction in signal to noise ratio
can be obtained by adding the mid-point loss to the reciprocal
of the equivalent noise power bandwidth in dB. It is a measure
of the ability of the window to detect single tones in broadband
noise. The variance between windows is less than 1dB.
6.0dB Bandwidth
This figure, expressed in bin widths, represents the ability
of the window to resolve two tones and should be as close to
unity as possible. As the highest sidelobe level is reduced, this
parameter tends to get worse, and a compromise must be
used when choosing a window.
Overlap Correlation
In many practical systems the squared magnitudes of
successive transforms are averaged to reduce the variance of
the measurements. If, however, a windowed FFT is applied to
non overlapping partitions of the sequence, data near the
boundaries will be ignored since the window exhibits small
values at those points. To avoid this loss partitions are usually
overlapped by 50% or 75%, which might, at first sight, remove
the need to average successive transforms. If non-windowed
Window
Operator
Highest
Side Lobe
Mid-Point
Loss dB
Overall
Loss dB
6dB
Bandwidth
Overlap Correlation
75%
50%
Rectangular
-13
3.92
3.92
1.21
75
50
Hamming
-43
1.78
3.1
1.81
70.7
23.5
Dolph-Chebyshev
[C = 3.5]
Kaiser-Bessel
[C = 3]
Blackman
-70
1.25
3.35
2.17
60.2
11.9
-69
1.02
3.55
2.39
53.9
7.4
-58
1.1
3.47
2.35
56.7
9
Blackman-Harris
[3 term]
-67
1.13
3.45
1.81
57.2
9.6
Table 7. Window Performance ( from The use of Windows for Harmonic Analysis. F J Harris. Proc IEEE Vol 66. Jan 1978 )
D
R
PDSP16510
D
I
S
AUX
D
D
D
POWER
ON RESET
PARAMETERS
PDSP16116
COMPLEX
MULTIPLIER
SYSTEM
CLOCK
REAL
DATA
IMAG'
DATA
WINDOW
PROM
XR
XI
YI
YR
ZERO
COUNTER
S
CLK
FIRST
SAMPLE
SAMPLE
CLOCK
CLR
Fig. 11. External Window Generator
window it is six bins.
The latter two windows are actually supported by the
PDSP16510. These are constructed on the fly as needed, and
take the general form:
A - Bcosx + Ccos2x where x = (2
π
n)/N, n = 0 to N-1
For Hamming, A = 0.54, B = 0.46, C = 0
For Blackman-Harris, A = 0.42323, B = 0.49755,C=0.07922
These windows can be applied to any of the transform
size options, except the 16 x 16 complex variant. When the
latter is specified the rectangular window option MUST be
selected, or the device will be configured in an internal test
mode.
If other operators are required these must be applied
externally. This can be conveniently achieved with either a
PDSP16112 or a PDSP16116, both of which are complex
multipliers but with different accuracies. Fig. 11 shows how
either one can be configured to perform two separate multipli-
cations with one input common to both. This arrangement is
necessary to perform the window function on complex inputs.
Important features of the windows generated by
PDSP16510, and other commonly used windows, are illus-
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