工科电子类文章中译英英语翻译（滤波器）【100分】

Posted 2023-02-21

手头有一些翻译任务，因为时间不够，希望大家能够帮帮忙翻译一下，可以用翻译软件，但是一定要修改一下，语法要正确，是不是机器翻译一眼就能看出来。100分就是你的。如果好的话再追加分。
以下是需要翻译的正文：

3 滤波器性能验证
采用Altera公司Cyclone系列的EP1C6Q240C8芯片，设计了一个32阶的可变参数FIR滤波系统，编译后占用片上逻辑单元75%，占用RAM 71%。使用信号发生器产生各种输入信号，计算机根据给定的滤波器指标求出各阶系数，然后对FPGA进行配置；FPGA再将滤波后数据上传至计算机进行显示。
具体实验及分析如下：
(1)滤波器指标：窗函数为凯塞窗，β=3.4，采样频率为187.5kHz，截止频率为35kHz，滤波器幅频特性和相频特性如图13所示；输入信号为1.5kHz和10kHz的正弦波混合信号，示波器信号如图14 a)所示，滤波后信号如图14 b)所示。由图14 b)可以看出，由于该低通滤波器截止频率为35kHz，而输入的混合信号频率都低于35kHz，所以滤波后的信号波形没有改变。

(2)滤波器指标与(1)相同，输入信号为1.5kHz和50kHz的正弦波混合信号，示波器信号如图15 a)所示，滤波后信号如图15b)所示。有结果可以看出，该低通滤波器将大于截止频率的50kHz的正弦波信号滤掉，基本保留了1.5kHz的正弦波信号。

(3)滤波器指标：窗函数为海明窗，采样频率为187.5kHz，截止频率为5kHz，滤波特性如图16所示；输入信号为1kHz正弦波和白噪声的混合信号，示波器信号如图17 a)所示，滤波后信号如图17 b)所示。由滤波后结果可以看出，滤波器滤除了大量的白噪声，基本恢复了1kHz的正弦波信号。

(4)滤波器指标：窗函数为凯塞窗，β=3.4，采样频率为187.5kHz，通带频率为10kHz~15kHz，滤波特性如图18所示；输入信号为27kHz和10kHz正弦波混合信号，示波器信号如图19 a)所示，滤波后数据如图19 b)所示。通过滤波后的图像可以看出，该带通滤波器将通带频率之外的27kHz的正弦波信号滤掉，并且基本恢复了10kHz的正弦波信号。

(5)滤波器指标：滤波器指标与(4)相同；输入信号为1kHz和10kHz正弦波混合信号，示波器信号如图20 a)所示。滤波后数据如图20 b)所示。通过图20 b)可以看出，该带通滤波器将低于通带频率之外1kHz的正弦波信号滤掉，并基本保留了10kHz的正弦波信号。

以上为滤波器性能验实验。通过实验(1)和(2)验证了滤波器的低通滤波性能。通过实验(3)验证了滤波器滤除白噪声性能。通过实验(4)和(5)验证了滤波器的带通滤波性能。由几个实验可看出：该滤波器的滤波效果良好。

4 可调参数滤波系统的实际应用
通过性能测试，验证了本设计中的滤波器的滤波性能。为了验证可调参数FIR滤波系统在实际应用中的效果，在此将可调参数FIR滤波系统应用于CCD缺陷检测中进行验证。
直接用机器翻译完了就粘贴上来的就免了，这个我也会。希望想得分的朋友帮忙修改了再发上来，小弟在此先谢过了

3 filter performance verification

Using Altera\'s Cyclone series of EP1C6Q240C8 chip, designed a 32-order FIR filter system of variable parameters, compiled on-chip logic cells occupy 75% of occupied RAM 71%. Using the signal generator produces a variety of input signals, the computer according to the given filter indicators derive the first-order factor, and then FPGA configuration; FPGA and then filtered the data uploaded to the computer display.

Specific experiments and analyzed as follows:

(1) filter indicators: Window function for Kaiser window, β = 3.4, sampling frequency of 187.5kHz, cut-off frequency of 35kHz, filter amplitude-frequency characteristic and phase-frequency characteristic as shown in Figure 13; input signal is 1.5kHz, and 10kHz sine wave mixed-signal, oscilloscope signal in Figure 14 a) shows, the filtered signal in Figure 14 b) below. From Figure 14 b) can be seen, since the low-pass filter cutoff frequency of 35kHz, the input of the mixed-signal frequency are lower than 35kHz, so the filtered signal waveform has not changed.

 (2) filter indicators and (1) the same input signal is 1.5kHz and 50kHz sine wave mixed-signal, oscilloscope signal in Figure 15 a) shows, the filtered signal in Figure 15b) as shown. The results can be seen that the low-pass filter cutoff frequency of 50kHz would be greater than the sine wave signal filtered out, the basic retained 1.5kHz sine wave signal.

(3) filter indicators: window function is Hamming window, the sampling frequency of 187.5kHz, cut-off frequency of 5kHz, filter characteristics as shown in Figure 16; input signal is 1kHz sine wave and white noise mixed-signal, oscilloscope signal shown in Figure 17 a) shows, the filtered signal in Figure 17 b) below. After the results can be seen from the filter, filter to filter out a lot of white noise, basically resumed 1kHz sine wave signal.

   

(4) filter indicators: Window function for Kaiser window, β = 3.4, sampling frequency of 187.5kHz, pass-band frequency 10kHz ~ 15kHz, filter characteristics as shown in Figure 18; input signal is 27kHz, and 10kHz sine wave mixed-signal , oscilloscope signal in Figure 19 a) shows, the filtered data shown in Figure 19 b) below. Through the filtered image can be seen that the band-pass filter will be outside the pass-band frequency 27kHz sine wave signal filtered out, and basically restored 10kHz sine wave signal.

(5) filter indicators: Filter indicator and (4) the same; input signal is 1kHz and 10kHz sine wave mixed-signal, oscilloscope signal in Figure 20 a) below. After filtering the data shown in Figure 20 b) below. Through Figure 20 b) can be seen that the band-pass filter will be lower than outside the pass-band frequency of 1kHz sine wave signal filtered out, and basically retained the 10kHz sine wave signal.

     

The above filter performance testing experiments. Through experiments (1) and (2) to validate the performance of the filter low-pass filtering. Through experiments (3) to validate the filter to filter out 参考技术A 3 filter performance verification
Using Altera's Cyclone series of EP1C6Q240C8 chip, designed a 32-order FIR filter system of variable parameters, compiled on-chip logic cells occupy 75% of occupied RAM 71%. Using the signal generator produces a variety of input signals, the computer according to the given filter indicators derive the first-order factor, and then FPGA configuration; FPGA and then filtered the data uploaded to the computer display.
Specific experiments and analyzed as follows:
(1) filter indicators: Window function for Kaiser window, β = 3.4, sampling frequency of 187.5kHz, cut-off frequency of 35kHz, filter amplitude-frequency characteristic and phase-frequency characteristic as shown in Figure 13; input signal is 1.5kHz, and 10kHz sine wave mixed-signal, oscilloscope signal in Figure 14 a) shows, the filtered signal in Figure 14 b) below. From Figure 14 b) can be seen, since the low-pass filter cutoff frequency of 35kHz, the input of the mixed-signal frequency are lower than 35kHz, so the filtered signal waveform has not changed.
(2) filter indicators and (1) the same input signal is 1.5kHz and 50kHz sine wave mixed-signal, oscilloscope signal in Figure 15 a) shows, the filtered signal in Figure 15b) as shown. The results can be seen that the low-pass filter cutoff frequency of 50kHz would be greater than the sine wave signal filtered out, the basic retained 1.5kHz sine wave signal.
(3) filter indicators: window function is Hamming window, the sampling frequency of 187.5kHz, cut-off frequency of 5kHz, filter characteristics as shown in Figure 16; input signal is 1kHz sine wave and white noise mixed-signal, oscilloscope signal shown in Figure 17 a) shows, the filtered signal in Figure 17 b) below. After the results can be seen from the filter, filter to filter out a lot of white noise, basically resumed 1kHz sine wave signal.

(4) filter indicators: Window function for Kaiser window, β = 3.4, sampling frequency of 187.5kHz, pass-band frequency 10kHz ~ 15kHz, filter characteristics as shown in Figure 18; input signal is 27kHz, and 10kHz sine wave mixed-signal , oscilloscope signal in Figure 19 a) shows, the filtered data shown in Figure 19 b) below. Through the filtered image can be seen that the band-pass filter will be outside the pass-band frequency 27kHz sine wave signal filtered out, and basically restored 10kHz sine wave signal.
(5) filter indicators: Filter indicator and (4) the same; input signal is 1kHz and 10kHz sine wave mixed-signal, oscilloscope signal in Figure 20 a) below. After filtering the data shown in Figure 20 b) below. Through Figure 20 b) can be seen that the band-pass filter will be lower than outside the pass-band frequency of 1kHz sine wave signal filtered out, and basically retained the 10kHz sine wave signal.

The above filter performance testing experiments. Through experiments (1) and (2) to validate the performance of the filter low-pass filtering. Through experiments (3) to validate the filter to filter out white noise. Through experiments (4) and (5) to validate the performance of the filter band-pass filtering. As can be seen from several experiments: The filter is a good filtering effect.
4 adjustable parameters of the practical application of filter system
Through performance testing to verify the present design of the filtering performance of the filter. To verify the adjustable parameters FIR filter system in practical applications the effect of the adjustable parameters in this FIR filter applied to CCD defects inspection system to verify.

翻译的好赛 参考技术B 这么专业的东西，即使垂涎100分，也做不来。。。 参考技术C Two
adjustable
parameters
FIR
filter
system
hardware
design
This
design
using
FPGA
parallel
architecture,
computing
speed
of
the
characteristics
and
reliability
characteristics
of
high-speed
USB2.0
interface,
designed
a
FPGA
+
USB2.0
+
computer
FIR
digital
filter
system,
FPGA's
speed
and
machine
flexibility
of
Computer
organically
through
the
USB2.0
bus,
combined
block
diagram
shown
in
Figure
3.
On
the
one
hand,
the
computer
will
calculate
the
configuration
parameters
transmitted
to
the
next
through
the
USB2.0
bus,
FPGA,
in
order
to
achieve
different
windows,
different
cut-off
frequency
of
the
FIR
filter.
On
the
other
hand,
use
10-bit
A
/
D
converter
for
signal
conversion,
digital
signal
input
to
the
FPGA
device,
in
the
FPGA
devices
for
FIR
filtering,
the
filtered
data
through
USB2.0
Bus
Transfer
to
the
machine
operator
machine.

2,1
A
/
D
converter
module
A
/
D
converter
module
main
function
is
to
digitize
the
analog
signal,
and
then
into
the
FPGA
in
digital
signal
processing.
A
/
D
converter
module
structure
shown
in
Figure
4,
the
first
analog
signals
for
signal
conditioning,
and
then
A
/
D
converter
in
FPGA
will
be
under
the
control
of
signal
conditioning
to
convert
digital
signals,
power
supply
module
for
the
chip
provides
5V
and
3.3V
power.
2.1.1
Signal
Conditioning
Circuit
System
uses
the
A
/
D
conversion
chip
analog
input
signal
peak-peak
voltage
of
+2
V,
for
some
of
the
output
analog
signal
range
does
not
comply
with
the
A
/
D
conversion
chip
requirements,
in
order
to
expand
the
application
of
the
system,
and
therefore
A
/
D
conversion
before
the
signal
conditioning.
Conditioning
is
the
amplification,
buffering,
or
calibration
of
analog
signals
to
make
it
suitable
for
analog
/
digital
converter
(ADC)
input.
The
key
is
to
choose
the
op-amp.
The
design
of
signal
conditioning
circuit
for
two
voltage-follower
circuits,
using
low-power
voltage
feedback
amplifier
AD8052.
Signal
conditioning
circuit
in
Figure
5.
The
amplifier
input
voltage
range-0.2V
~
4V.
8-pin
voltage,
using
a
single
+5
V
power
supply
to
work
properly.
Input
signal
for
the
Signal,
according
to
the
diagram
of
the
circuit
connection,
the
output
voltage
range
of
the
signal
AD
Sigin
enables
A
/
D
conversion
chip
work
correctly.
2.1.2
A
/
D
conversion
circuit
A
/
D
conversion
circuit
according
to
pre-selected
sampling
period,
the
input
to
the
system's
analog
signal
is
collected.
Taking
into
account
the
need
for
system
flexibility
and
future
upgrades,
the
design
of
A
/
D
conversion
chip
to
use
to
use
10-bit
accuracy,
sampling
rate
as
low
as
20kHz,
up
to
40MHz
of
the
AD9203
chip.
AD9203
is
a
AD's
buy
one
single,
low-voltage
high-speed
A
/
D
conversion
chip.
It
is
stable
and
reliable
accuracy
in
the
whole
sample
within
the
bandwidth,
and
always
remained
a
10-bit
precision;
in
40MHz
sampling
rate,
the
effective
number
of
bits
still
to
reach
9.55,
the
differential
non-linearity
of
±
0.25
LSB,
SNR
and
distortion
remain
at
around
59dB.
AD9203
operating
voltage
more
flexible,
allowing
changes
in
the
context
of
2.7V
~
3.6V,
especially
suitable
for
portable
devices
at
low
voltage,
high-speed 参考技术D 晕···这么多