采样数据

  • 网络sampled data;sampling data;offset in
采样数据采样数据
  1. 用MUSIC算法处理非均匀间隔采样数据

    Processing Nonuniformly Sampled Data by Using MUSIC Algorithm

  2. 通过matlab仿真,在1个周期的采样数据中,能够较为准确地把不同频率的整次和非整次谐波分离出来。

    Through the simulation with MATLAB the integer and non-integer harmonics with different frequencies can be more accurately separated from the sampled data during one period .

  3. 采样数据系统故障检测的H∞方法

    H ∞ approach to fault detection in sampled-data systems

  4. 提出一种对采样数据系统进行故障检测的H∞方法。

    An H ∞, approach to fault detection in sampled-data systems is presented .

  5. PWMDC-DC变换器的一种改进的采样数据建模和分析方法

    An improved sampled-data modeling and analysis method of PWM DC-DC converters

  6. 采用复序列快速傅立叶算法,结合DSP处理器中反向进位的间接寻址方式实现了采样数据的快速处理;

    The device realizes real time data processing using complex sequence FFT algorithm and bit reversed indirect addressing mode in DSP .

  7. 数据采集模块,根据ADC输出时序用FPGA对采样数据进行整合,以供后级处理。

    For data collecting , use FPGA to conform the sampling data according the timing of ADC .

  8. 设计了基于Windows操作系统雷达信号采集与存储平台,实现船舶导航雷达回波采样数据的实时存储。

    The radar signal acquisition and storage platform was designed based on windows operation system . It achieved real-time marine radar data storage .

  9. 最后,用BP神经网络完成了A/D采样数据和标准光照度值之间的数据拟合。

    Finally , the BP neural network is used to fit data between A / D sampling data values and standards of illuminance .

  10. 对最近提出的Liu混沌系统建立了自反馈控制和单参数采样数据反馈控制方法。

    The paper addressed the self-feedback control and single parameter sampled-data feedback control for the lately advanced Liu chaotic system .

  11. 首先使用采样数据协方差矩阵的幂(Power)获得噪声子空间的估计,然后对噪声子空间进行OR分解并使用R矩阵估计信源个数,提出了无特征分解的信源个数检测算法&SDWED算法。

    Firstly , the estimation of noise subspace is obtained by the power of covariance matrix and a novel source number detection method without eigen-decomposition is proposed based on QR decomposition .

  12. DSP系统与PC机的串口通信界面用C++Builder编写,可以方便的将采样数据存档。

    The communication interface between DSP system and PC is made with C + + Builder , through which data can be transmitted to PC.

  13. DOA估计子空间方法的本质是对阵列空间采样数据中空间频率的估计。

    The essence of subspace methods is the estimation of spatial frequency in the array sampling .

  14. 高性能FPGA作为系统的控制核心,实现对采样数据的接收、缓存、检测和传输等操作,使数据采集系统的功能实现具有较高的可扩展性和灵活性。

    As control core in the DAS system , FPGA realizes functions such as sampling data reception , caching , detecting and transmission operation .

  15. 局部线性嵌入算法(LocalLinearEmbedding,简称LLE)是一种非线性流形学习算法,能有效地学习出高维采样数据的低维嵌入坐标,但也存在一些不足,如不能处理稀疏的样本数据。

    The local linear embedding algorithm is a nonlinear manifold learning algorithm . It is efficient for many nonlinear dimension reduction problems but unfit for sparse data .

  16. 采用片外SRAM作为波形存储器,使采样数据的分析更加灵活,并实现了深存储的优势。

    The sampling data are storaged in another memory chip , which makes the data used more flexible .

  17. 针对OFDM训练符号同步算法中存在的大采样数据而导致捕获时间过长的问题,提出了一种多符号改进算法。

    The rained-symbol timing synchronization algorithm of the presented OFDM needs too long capturing time . Aiming at this problem , a modified multi-symbol algorithm is presented .

  18. 此外,在FPGA内部设计累加平均器,对采样数据进行预处理,有效提高了信号的信噪比。

    In addition , some averagers are designed in the FPGA to preprocess the sampled data , so , the signal-to-noise ratio ( SNR ) of the system is improved effectively .

  19. 根据中国第一次土壤普查得到的土壤各类型分布面积、采样数据、土壤有机质含量,运用GIS技术,来估算土壤碳库。

    This paper adopted the soil distribution area , sampling data and soil organic content from the first soil general survey and applied the technique of GIS to estimate soil carbon reservior in China .

  20. 利用数字滤波、快速傅立叶变换(FFT)等数字信号处理算法,DSP对采样数据进行实时处理;实时仿真直接在DSP中实现。

    With digital filter , Fast Fourier Transform Algorithm ( FFT ) and some other algorithms , the data collected are flexibly processed . The real-time simulation is realized in DSP .

  21. 使用高速大容量存储器(RAM)实时保存采样数据,保证了仪器的高性能。

    Use the high-speed large capacity memory ( RAM ) to keep the data of sampling in real time , this has achieved the high performance of the instrument .

  22. 通过单片机和CPLD对数据储存器的控制切换实现了A/D采样数据的存取操作功能,并给出了设计原理图和实验仿真结果。

    Achieved the accessing operation of A / D sampling data through MCU and CPLD to control the data storage device and given the schematic diagram and simulation result .

  23. PMU的同步采样数据为电力系统的暂态稳定分析和控制提供了一条新的途径,也为传统的电力系统暂态稳定分析方法提出了改进的条件。

    The synchronously sampled data provided by PMU exploit a new research area of the system transient stability analysis and control .

  24. 介绍了在平面凸轮轮廓线检测系统中所采用的数据处理方法,主要包括采样数据点的基于最小二乘法理论的三次非均匀B样条曲线拟合,以及补偿测头半径误差等方法的研究。

    A method of data processing applied to the measurement system of plate cam borderline is introduced in this paper , including the studies on fitting the sample data with cubic non-uniform B-spline curve based on least square method and radius compensation of the probe .

  25. 最后,对应用结果的测试表明,将MMX技术引入采样数据解调增强了系统的数据处理能力。

    The application result shows that MMX technology introduced in the demodulation enhances the data processing capacity of the system .

  26. 本文讨论了随机线性连续时间(LCT)系统基于采样数据的二次指标最优控制问题。

    Sampled-data-based linear quadratic ( LQ ) control problem of stochastic linear continuous-time ( LCT ) systems is discussed in this work .

  27. 针对低信噪比振动信号的检测问题,在对采样数据进行预处理的基础上,采用基于FFT的数字信号处理方法,把时域离散振动信号转化到频域进行分析处理。

    In order to detect the vibration signal with a low SNR , time domain discrete vibration signal is transferred into one of the frequency domain using FFT algorithms after pre processing the sampling data .

  28. 结合所给原始采样数据,求出实验变异函数,借助MATLAB和Excel相关软件分析模拟理论变异函数图象,进行结构分析。

    We calculate the experimental variation function combining to the original sampling data and make the structure analysis through the theoretical variation function graph which is simulated by software simulation for the analysis : MATLAB and Excel . 3 .

  29. 最后对装设SVC后的系统接入点及电网其它节点和支路的采样数据进行了谐波分析,结果表明本文采用的SVC谐波抑制方案是有效的。

    Finally this paper analyzed the sampling data of junction and other nodes of the system furnishing with SVC . The results show that the SVC harmonic control scheme is effective .

  30. 采用小波变换方法对分布式寄生偏振耦合测试仪(DPCA)采样数据进行滤波除噪。

    In the processing of the data sampled by the distributed polarization coupling analyzer ( DPCA ) wavelet-transform was applied to reduce the noise .