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為提升虛擬儀器傳輸速率與實(shí)時(shí)性能，擴(kuò)展監(jiān)測范圍，在VC的軟件平臺(tái)上設(shè)計(jì)了一種全功能虛擬示波器。與傳統(tǒng)虛擬示波器相比，該系統(tǒng)采用嵌入式系統(tǒng)完成信號采集，采用工業(yè)以太網(wǎng)為傳輸介質(zhì)，通過線性插值算法和多線程編程思想，實(shí)現(xiàn)波形顯示、參數(shù)計(jì)算、頻譜分析以及波形存儲(chǔ)及回放功能。實(shí)驗(yàn)結(jié)果表明，該虛擬示波器可以實(shí)現(xiàn)20 kHz采樣頻率下的波形精確顯示，達(dá)到預(yù)期的各項(xiàng)指標(biāo)。
Abstract:
o enhance the transfer rate and real-time of virtual instrument performance， expand scope of monitoring， this paper uses the VCs software platform to design a fully functional virtual oscilloscope. Compared with traditional virtual oscilloscope， this system adopts the embedded system to complete the data acquisition， industrial Ethernet as the transmission medium used by the linear INTERPOLATION algorithm and multi-threaded programming ideas， namely to achieve waveform display， parameter calculation， spectrum analysis and waveform storage and playback. Experimental results show that the virtual oscilloscope can accurately display the waveform with 20kHz sampling frequency， and achieve the desired targets.
標(biāo)簽：
以太網(wǎng)
虛擬
波器設(shè)計(jì)
上傳時(shí)間：
2013-11-25
上傳用戶：wbwyl
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基于matlab的數(shù)值計(jì)算試驗(yàn)程序。equ_direct，equ_iter，INTERPOLATION等
標(biāo)簽：
equ_direct
matlab
數(shù)值計(jì)算
程序
上傳時(shí)間：
2014-12-21
上傳用戶：hjshhyy
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This paper investigates the design of joint frequency
offset and carrier phase estimation of a multi-frequency time division
multiple access (MF-TDMA) demodulator that is applied to
a digital video broadcasting—return channel system via satellite
(DVB-RCS). The proposed joint estimation algorithm is based on
the INTERPOLATION technique for two correlation values in the frequency
and phase domains. This simple INTERPOLATION technique
can significantly improve frequency and phase resolution capabilities
of the proposed technique without increasing the number of
the correlation values. In addition, the overall block diagram of a
digital communications receiver for DVB-RCS is presented, which
was designed using the proposed estimation algorithms.
Index Terms—Carrier phase estimation, DVB-RCS, frequency
offset estimation, INTERPOLATION, joint estimation, MF-TDMA.
標(biāo)簽：
investigates
estimation
frequency
carrier
上傳時(shí)間：
2015-12-30
上傳用戶：ls530720646
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There are numerous MATLAB m-files included in this software package. Thus, the the authors have bundled all files and sample data in a *.zip file (KTHorb.zip). The Readme.txt file describes the directories created when the .zip file is unpacked. The file Matlab_implementation.doc (or Matlab_implementation.txt) describes some of the classes and methods included in the package for GPS satellite orbit INTERPOLATION.
標(biāo)簽：
the
numerous
included
software
上傳時(shí)間：
2016-03-08
上傳用戶：qweqweqwe
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PNG開放源接口 The interface has
been designed to be as simple and intuitive as possible. It supports plotting and reading in the RGB (red, green,
blue), HSV (hue, saturation, value/brightness) and CMYK (cyan, magenta, yellow, black) colour spaces, basic
shapes, scaling, bilinear INTERPOLATION, full TrueType antialiased and rotated text support, bezier curves, opening
existing PNG images and more.
標(biāo)簽：
interface
intuitive
designed
possible
上傳時(shí)間：
2013-12-23
上傳用戶：qilin
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數(shù)值分析算法源碼(java)
這個(gè)學(xué)期一邊學(xué)習(xí)java一邊學(xué)習(xí)數(shù)值分析,因此用java寫了一個(gè)數(shù)值分析算法的軟件包numericalAnalysis.
[說明]
適合使用者:會(huì)java的,想要學(xué)習(xí)數(shù)值分析算法的人.
本代碼對照書:數(shù)值分析第二版,史萬明等編,北京理工大學(xué)出版社.
本代碼盡量按書中描述的來寫,可以提供參考.
[使用方法]
在java的ide中新建一個(gè)項(xiàng)目,把numericalAnalysis包直接拷貝到此項(xiàng)目的源文件夾中,然后要解決什么問題,就相應(yīng)的編譯運(yùn)行什么包.
另外有這些類的API提供參考,可以自己根據(jù)自己要求寫驅(qū)動(dòng)類.運(yùn)行API文件夾中的index.html文件就行.
[包的結(jié)構(gòu)]
numericalAnalysis包中又含有9個(gè)包,除function包的是接口外,其余包都含有一個(gè)獨(dú)立的數(shù)值分析問題的類以及其驅(qū)動(dòng)類.9個(gè)包如下:
differential:微分問題
equation:方程
function:只含一個(gè)接口,用來讓用戶寫自己的函數(shù)
functionApproximation:離散情況下函數(shù)逼近問題
integration:積分問題
INTERPOLATION:插值問題
linearEquationGroup:線性方程組問題(包括過定方程組)
norm:求解向量和矩陣的范數(shù)
ode:常微分方程數(shù)值解的求解
標(biāo)簽：
java
numericalAnalysis
數(shù)值分析
算法
上傳時(shí)間：
2014-01-04
上傳用戶：wff
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Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course
in numerical methods, Matlab, and technical computing. The emphasis is on in-
formed use of mathematical software. We want you learn enough about the mathe-
matical functions in Matlab that you will be able to use them correctly, appreciate
their limitations, and modify them when necessary to suit your own needs. The
topics include
* introduction to Matlab,
* linear equations,
* INTERPOLATION,
* zero and roots,
* least squares,
* quadrature,
* ordinary di?erential equations,
* random numbers,
* Fourier analysis,
* eigenvalues and singular values,
* partial di?erential equations.
標(biāo)簽：
introductory
Numerical
Computing
textbook
上傳時(shí)間：
2016-07-04
上傳用戶：思琦琦
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Toolbox for Numerical Computing with MATLAB （by Cleve Moler).
Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course
in numerical methods, Matlab, and technical computing. The emphasis is on in-
formed use of mathematical software. We want you learn enough about the mathe-
matical functions in Matlab that you will be able to use them correctly, appreciate
their limitations, and modify them when necessary to suit your own needs. The
topics include
* introduction to Matlab,
* linear equations,
* INTERPOLATION,
* zero and roots,
* least squares,
* quadrature,
* ordinary di?erential equations,
* random numbers,
* Fourier analysis,
* eigenvalues and singular values,
* partial differential equations.
標(biāo)簽：
Numerical
Computing
MATLAB
with
上傳時(shí)間：
2014-01-01
上傳用戶：guanliya
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measure through
the cross-entropy of test data. In addition,
we introduce two novel smoothing techniques,
one a variation of Jelinek-Mercer
smoothing and one a very simple linear INTERPOLATION
technique, both of which outperform
existing methods.
標(biāo)簽：
cross-entropy
introduce
smoothing
addition
上傳時(shí)間：
2014-01-06
上傳用戶：qilin
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P3.20. Consider an analog signal xa (t) = sin (2πt), 0 ≤t≤ 1. It is sampled at Ts = 0.01, 0.05,
and 0.1 sec intervals to obtain x(n).
b) Reconstruct the analog signal ya (t) from the samples x(n) using the sinc INTERPOLATION
(use ∆ t = 0.001) and determine the frequency in ya (t) from your plot. (Ignore the end
effects.)
C) Reconstruct the analog signal ya (t) from the samples x (n) using the cubic spline
INTERPOLATION and determine the frequency in ya (t) from your plot. (Ignore the end effects.)
標(biāo)簽：
Consider
sampled
analog
signal
上傳時(shí)間：
2017-07-12
上傳用戶：咔樂塢
