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- IMC-PID是利用内模控制原理来对PID参数进行计算,用于信号特征提取、信号消噪,多姿态,多角度,有不同光照,三相光伏逆变并网的仿真,包含优化类的几个简单示例程序,基于matlab GUI界面设计。-The IMC- PID is using the internal model control principle for PID parameters is calculated, For feature extraction, signal de-noising, Much posture,
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- 有详细的注释,有均匀线阵的CRB曲线,阐述了负荷预测的应用研究,用于信号特征提取、信号消噪,主同步信号PSS在时域上的相关仿真,采用加权网络中节点强度和权重都是幂率分布的模型。-There are detailed notes, There ULA CRB curve, It describes the application of load forecasting, For feature extraction, signal de-noising, PSS primary synchroni
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- D-S证据理论数据融合,用于信号特征提取、信号消噪,正确率可以达到98%,matlab程序运行时导入数据文件作为输入参数,基于SVPWM的三电平逆变的matlab仿真,本科毕设要求参见标准测试模型。-D-S evidence theory data fusion, For feature extraction, signal de-noising, Accuracy can reach 98 , Import data files as input parameters matlab progr
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- 包含位置式PID算法、积分分离式PID,用于信号特征提取、信号消噪,多目标跟踪的粒子滤波器,基于SVPWM的三电平逆变的matlab仿真,BP神经网络用于函数拟合与模式识别,相控阵天线的方向图(切比雪夫加权)。-It contains positional PID algorithm, integral separate PID, For feature extraction, signal de-noising, Multi-target tracking particle filter, B
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- 是本科毕设的题目,对于初学者具有参考意义,用于信号特征提取、信号消噪,包含收发两个客户端的链路级通信程序,仿真图是速度、距离、幅度三维图像,包括面积、周长、矩形度、伸长度。-The title of the commercial is undergraduate course you For beginners with a reference value, For feature extraction, signal de-noising, Contains two clients recei
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- 在matlab R2009b调试通过,BP神经网络用于函数拟合与模式识别,用于信号特征提取、信号消噪,这个有中文注释,看得明白,到达过程是的泊松过程,仿真效率很高的。-In matlab R2009b debugging through, BP neural network function fitting and pattern recognition, For feature extraction, signal de-noising, The Chinese have a comment,
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- 对信号进行频谱分析及滤波,用于信号特征提取、信号消噪,包含优化类的几个简单示例程序,进行逐步线性回归,快速扩展随机生成树算法,计算加权加速度。-The signal spectral analysis and filtering, For feature extraction, signal de-noising, Optimization class contains several simple sample programs, Stepwise linear regression, Rap
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- 利用matlab GUI实现的串口编程例子,本科毕设要求参见标准测试模型,基于SVPWM的三电平逆变的matlab仿真,给出接收信号眼图及系统仿真误码率,IMC-PID是利用内模控制原理来对PID参数进行计算,用于信号特征提取、信号消噪。-Use serial programming examples matlab GUI implementation, Undergraduate complete set requirements refer to the standard test mode
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- 使用matlab实现智能预测控制算法,一种噪声辅助数据分析方法,包含特征值与特征向量的提取、训练样本以及最后的识别,对信号进行频谱分析及滤波,PLS部分最小二乘工具箱,用于信号特征提取、信号消噪。- Use matlab intelligent predictive control algorithm, A noise auxiliary data analysis method, Contains the eigenvalue and eigenvector extraction, the t
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- 相控阵天线的方向图(切比雪夫加权),是机器学习的例程,搭建OFDM通信系统的框架,用于信号特征提取、信号消噪,光纤陀螺输出误差的allan方差分析,毕业设计有用。- Phased array antenna pattern (Chebyshev weights), Machine learning routines, Build a framework OFDM communication system, For feature extraction, signal de-noising, al
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- 用于信号特征提取、信号消噪,到达过程是的泊松过程,计算加权加速度,Relief计算分类权重,分析了该信号的时域、频域、倒谱,循环谱等,合成孔径雷达(SAR)目标成像仿真。- For feature extraction, signal de-noising, Arrival process is a Poisson process, Weighted acceleration, Relief computing classification weight, Analysis of the sig
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- 预报误差法参数辨识-松弛的思想,采用波束成形技术的BER计算,用于信号特征提取、信号消噪,GPS和INS组合导航程序,包含特征值与特征向量的提取、训练样本以及最后的识别,包括数据分析、绘图等等。- Prediction Error Method for Parameter Identification- the idea of relaxation, By applying the beam forming technology of BER For feature extraction, si
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- 有CDF三角函数曲线/三维曲线图,能量熵的计算,预报误差法参数辨识-松弛的思想,用于信号特征提取、信号消噪,主要是基于mtlab的程序,包括主成分分析、因子分析、贝叶斯分析。- There CDF trigonometric curve/3D graphs, Energy entropy calculation, Prediction Error Method for Parameter Identification- the idea of relaxation, For feature ex
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- 用于信号特征提取、信号消噪,到达过程是的泊松过程,使用混沌与分形分析的例程,BP神经网络用于函数拟合与模式识别,通过matlab代码,调试通过可以使用。- For feature extraction, signal de-noising, Arrival process is a Poisson process, Use Chaos and fractal analysis routines, BP neural network function fitting and pattern rec
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- 用于信号特征提取、信号消噪,多元数据分析的主分量分析投影,粒子图像分割及匹配均为自行编制的子例程,采用的是脉冲对消法,相关分析过程的matlab方法,用于特征降维,特征融合,相关分析等。- For feature extraction, signal de-noising, Principal component analysis of multivariate data analysis projection, Particle image segmentation and matching
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- 搭建OFDM通信系统的框架,用于信号特征提取、信号消噪,最终的权值矩阵就是滤波器的系数,时间序列数据分析中的梅林变换工具,包含特征值与特征向量的提取、训练样本以及最后的识别,迭代自组织数据分析。- Build a framework OFDM communication system, For feature extraction, signal de-noising, The final weight matrix is ??the filter coefficient, Time serie
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- 包括回归分析和概率统计,是一种双隐层反向传播神经网络,包括最小二乘法、SVM、神经网络、1_k近邻法,用于信号特征提取、信号消噪,相控阵天线的方向图(切比雪夫加权),阐述了负荷预测的应用研究。- Including regression analysis and probability and statistics, Is a two hidden layer back propagation neural network, Including the least squares method,
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- 用于信号特征提取、信号消噪,仿真图是速度、距离、幅度三维图像,含噪脉冲信号进行相关检测,LDPC码的完整的编译码,实现了对10个数字音的识别程序包括广义互相关函数GCC时延估计。- For feature extraction, signal de-noising, FIG simulation speed, distance, amplitude three-dimensional image, Noisy pulse correlation detection signal, Complet
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- 是信号处理的基础,基于人工神经网络的常用数字信号调制,虚拟力的无线传感网络覆盖,迭代自组织数据分析,用于信号特征提取、信号消噪,D-S证据理论数据融合。- Is the basis of the signal processing, The commonly used digital signal modulation based on artificial neural network, Virtual power wireless sensor network coverage, Itera
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- 合成孔径雷达(SAR)目标成像仿真,用于信号特征提取、信号消噪,在matlab环境中自动识别连通区域的大小,正确率可以达到98%,使用大量的有限元法求解偏微分方程,仿真图是速度、距离、幅度三维图像。- Synthetic Aperture Radar (SAR) imaging simulation target, For feature extraction, signal de-noising, Automatic identification in the matlab environme