搜索资源列表
Kinematics-analysis
- 讨论了一种六自由度排爆机械手运动学问题,利用D-H坐标变换方法来建立了机械手的运动学数学模型和目标矩阵,利用 MATLAB 强大的符号运算功能,对方程进行求解,得出正逆运动学的解。通过正运动学的解,可以得出了 解机械手各关节在执行任务时的运动轨迹;而逆运动学的解则可以求出机械手要到达某一位姿机械手各关节的扭角。运动学分析也为今后实现机械手的自动控制提供了设计参数。 -A kinematics promble of a 6-DOF bomb-disposing manipulator was
Space-time-clutter-model
- 空时自适应处理杂波建模的文章。分析非常详细,具有参考价值。-The space-time adaptive processing clutter modeling article. Very detailed analysis, has reference value.
structured-analysis
- 结构化分析概述、数据模型、功能模型、行为模型、构造功能模型-Structured overview of the data model, functional model, behavioral model, constructed functional model
time-series-analysis-model
- 动态时间序列周期分析预测模型将多层递阶方法与逐步回归周期分析的基本原理相结合,可以对时间序列做较长周期的预测-Dynamic time series cycle analysis of the predictive model using multi-layer hierarchical approach
ARIMA-model-algorithm
- 。统计预测方法建立在严密 的数学理论基础之上,具有结构简单、预测速度快、方便操作等特点,相对于其 他时序分析预测方法(如:回归分析、神经网络等)更适合实际应用 -. Statistical prediction method is based on a rigorous mathematical basis of the theory with a simple structure, the forecast fast, convenient operation, relative
ARIMA-model-algorithm
- 在目前统计预测中,存在着非平稳序列分析效果差、多步预测误差较大、缺 乏系统的软件实现等问题。本文针对该类问题进行研究,提出了NARIMA方法, 该方法以ARIMA模型为基础,有效结合了游程平稳检验方法、差分平稳处理方法 、线性最小方差预测算法等,解决了传统统计预测方法中存在的上述问题 -In the current statistical forecast, there is a differential effect of non-stationary sequence ana
Time-series-analysis-model
- 对个数较多的数据运用灰色系统模型时, 本论文提出了一种新的灰色系统建模方法,即分离建模方法。 -Number of more data, the gray system model, proposed in this paper a new modeling method of gray system, namely, separation of the modeling approach.
m11e
- 机械动力学系统中力学模型分析,求得它固有频率,振型,主坐标。-Mechanical model analysis, mechanical dynamic system to obtain its natural frequency, mode shapes, principal coordinates.
sinusoidal-model
- 对语音信号进行分析仿真,合成声音轻微的音质下降-The speech signal analysis and simulation, a slight loss of quality of the synthesized voice
Micro-Doppler-analysis-of-vibrating
- 基于旋转运动的微多普勒模型的建立,对于了解微多普勒的学习者有帮助。-The establishment of micro-Doppler model based on the rotational motion, help learners understand the micro-Doppler.
IEC_61850rumen
- IEC 61850入门全面详细介绍,包括模型的分析、建立、SCL文件的创建和通信的实现-IEC 61850 introduction comprehensive detailed introduction, including model analysis, establish and SCL file creation and communication realization
SVM-recognizon
- 非线性模式分析模型,很好用,是我的毕业设计,通过验证-he nonlinear model analysis model, very good with, is my graduation design, through the verification
New-ARMA-model-
- 运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的,且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确,与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算,此时分析结果的平均相对误差较小,仅为1.38 ,与优化前构建的ARMA模型相比,平均相对误差降低0.23个百分点,优化效果明显。-Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) mo
New-gray-model
- 利用基于粒子群算法的灰色模型对航空发电机进行状态趋势分析技术研究,所得到的分析结果平均相对误差为3.99 。此模型为粒子群优化算法对GM(1,1)模型的改进模型,因此称为基于粒子群优化算法的GM(1,1)模型。-Using aviation turbine gray model based on particle swarm optimization state trend analysis technology research, analysis the average relative e
Based-genetic-algorithm-ARMA-model
- 利用遗传算法对ARMA(p,q)模型进行优化,减少人为因素在模型定阶过程的影响,通过构建基于遗传算法的ARMA(p,q)模型,确定ARMA模型的具体阶数,并对航空发电机的状态趋势进行分析。-ARMA (p, q) model to optimize the use of genetic algorithms to reduce the impact of human factors in the process of model order, by constructing ARMA (p, q
Grey-Model-Based-on-Genetic-
- 基于GA-GM(1,1)模型的航空发电机状态趋势分析结果较GM(1,1)模型所得结果平均相对误差降低0.14个百分点,分析结果更加精确,为灰色分析模型及其优化模型在航空发电机剩余使用寿命预测技术研究中的应用奠定基础。同时也说明遗传优化算法在航空发电机状态趋势分析中的应用是可行的且具有实际科学意义。这也为GA-GM(1,1)模型在其他领域中的应用指明了道路。-GA-GM (1,1) model-based aviation generator status trend analysis resul
EIH-model
- 就超音速飞行体产生的激波脉冲识别展开研究,分析丁目标信号的脉冲特性和基于EIH (Ensemble Interval Histogram)模型的波形特征提取方法.分析了EIH模型在波形结梅特征提取的过程中存在的问题,提出了一种自适应EIH模型.-Supersonic shock pulse recognition study, analysis of the signal pulse characteristics of the small target and EIH (Ensemble
AR-model-power-spectrum-estimation
- 功率谱估计性能分析及其MATLAB实现,间接法、直接法、改进的周期图法Welch法、Bartlett法 -Power spectrum estimation performance analysis on MATLAB, the indirect method, direct method, improved periodogram the Welch Law, Bartlett method
1-Analysis-of-conventional-decoupled-control
- This paper focuses on the analysis of traditional decoupled d-q vector control approaches for control of power transmission in a HVDC light system. The paper presents steady-state and transient models of a HVDC light system in a d-q reference
analysis
- Program for the von Neumann stability analysis of explicit multistage schemes using linear 1-D model equation of convection or mixed convection-diffusion type.