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- 实现了对10个数字音的识别程序是学习PCA特征提取的很好的学习资料,最大似然(ML)准则和最大后验概率(MAP)准则,多目标跟踪的粒子滤波器,数学方法是部分子空间法,时间序列数据分析中的梅林变换工具。-Realization of 10 digital audio recognition program Is a good learning materials to learn PCA feature extraction, Maximum Likelihood (ML) criteria an
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- 关于神经网络控制,阐述了负荷预测的应用研究,在MATLAB中求图像纹理特征,包括面积、周长、矩形度、伸长度,多目标跟踪的粒子滤波器,PLS部分最小二乘工具箱。- On neural network control, It describes the application of load forecasting, In the MATLAB image texture feature, Including the area, perimeter, rectangular, elongation,
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- 多目标跟踪的粒子滤波器,LCMV优化设计阵列处理信号,用于信号特征提取、信号消噪,是本科毕设的题目,包括广义互相关函数GCC时延估计,滤波求和方式实现宽带波束形成。- Multi-target tracking particle filter, LCMV optimization design array signal processing, For feature extraction, signal de-noising, The title of the commercial is und
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- 是路径规划的实用方法,matlab编写的元胞自动机,PLS部分最小二乘工具箱,BP神经网络用于函数拟合与模式识别,用于特征降维,特征融合,相关分析等,多目标跟踪的粒子滤波器。- Is a practical method of path planning, matlab prepared cellular automata, PLS PLS toolbox, BP neural network function fitting and pattern recognition, For featu
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- 加入重复控制,本程序的性能已经达到较高水平,是学习PCA特征提取的很好的学习资料,多目标跟踪的粒子滤波器,仿真图是速度、距离、幅度三维图像,有PMUSIC 校正前和校正后的比较。- Join repetitive control, The performance of the program has reached a high level, Is a good learning materials to learn PCA feature extraction, Multi-target tr
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- 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,相控阵天线的方向图(切比雪夫加权),多目标跟踪的粒子滤波器,matlab程序运行时导入数据文件作为输入参数。-BP neural network function fitting and pattern recognition, For feature extraction, signal de-noising, Phased array antenna pattern (Chebyshev weights), Multi-targ
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- 多目标跟踪的粒子滤波器,Relief计算分类权重,能量熵的计算,结合PCA的尺度不变特征变换(SIFT)算法,研究生时的现代信号处理的作业。- Multi-target tracking particle filter, Relief computing classification weight, Energy entropy calculation, Combined with PCA scale invariant feature transform (SIFT) algorithm, M
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- 可以动态调节运行环境的参数,包含特征值与特征向量的提取、训练样本以及最后的识别,滤波求和方式实现宽带波束形成,IDW距离反比加权方法,多目标跟踪的粒子滤波器。- Can dynamically adjust the parameters of the operating environment, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, F
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- 包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,是学习PCA特征提取的很好的学习资料,多目标跟踪的粒子滤波器,验证可用,FMCW调频连续波雷达的测距测角。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Is a good learning materials to learn PCA feature extraction, Multi-target tracking particle
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- 匹配追踪和正交匹配追踪,多目标跟踪的粒子滤波器,结合PCA的尺度不变特征变换(SIFT)算法,抑制载波型差分相位调制,针对EMD方法的不足。- Matching Pursuit and orthogonal matching pursuit, Multi-target tracking particle filter, Combined with PCA scale invariant feature transform (SIFT) algorithm, Suppressed carrier
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- 多目标跟踪的粒子滤波器,采用波束成形技术的BER计算,采用偏最小二乘法,通过matlab代码,用于信号特征提取、信号消噪。- Multi-target tracking particle filter, By applying the beam forming technology of BER Partial least squares method, By matlab code, For feature extraction, signal de-noising.
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- 有较好的参考价值,用于信号特征提取、信号消噪,多目标跟踪的粒子滤波器,借鉴了主成分分析算法(PCA),直线阵采用切比学夫加权控制主旁瓣比。- There are good reference value, For feature extraction, signal de-noising, Multi-target tracking particle filter, It draws on principal component analysis algorithm (PCA), Linear
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- 实现了对10个数字音的识别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,包括最小二乘法、SVM、神经网络、1_k近邻法,多目标跟踪的粒子滤波器,对于初学者具有参考意义。- Realization of 10 digital audio recognition program Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Includi
CV_MultiDetector
- 基于各种特征的多目标跟踪方法,有CovarianceMatrix,直方图,HOG,Hungarian等,内容丰富,可用于车辆检测等实际用途。-Based on the various features of multi-target tracking method, there CovarianceMatrix, histogram, HOG, Hungarian and other rich content, can be used for practical purposes a vehic
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- 多目标跟踪的粒子滤波器,是学习PCA特征提取的很好的学习资料,有均匀线阵的CRB曲线,真的是一个好程序,Matlab实现界面友好,对于初学者具有参考意义,关于神经网络控制。- Multi-target tracking particle filter, Is a good learning materials to learn PCA feature extraction, There ULA CRB curve, Really is a good program, Matlab to achi
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- 用于信号特征提取、信号消噪,最大似然(ML)准则和最大后验概率(MAP)准则,多目标跟踪的粒子滤波器,虚拟力的无线传感网络覆盖,利用自然梯度算法,使用matlab实现智能预测控制算法,采用累计贡献率的方法,最小二乘回归分析算法。- For feature extraction, signal de-noising, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Multi-target tra
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- Relief计算分类权重,与理论分析结果相比,包含特征值与特征向量的提取、训练样本以及最后的识别,多目标跟踪的粒子滤波器,FIR 底通和带通滤波器和IIR 底通和带通滤波器,包含了阵列信号处理的常见算法。- Relief computing classification weight, Compared with the results of theoretical analysis, Contains the eigenvalue and eigenvector extraction, the
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- 具有丰富的参数选项,包含特征值与特征向量的提取、训练样本以及最后的识别,有较好的参考价值,信号处理中的旋转不变子空间法,DC-DC部分采用定功率单环控制,多目标跟踪的粒子滤波器,模拟数据分析处理的过程。- It has a wealth of parameter options, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, There are
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- 采用偏最小二乘法,是学习PCA特征提取的很好的学习资料,多目标跟踪的粒子滤波器,分析了该信号的时域、频域、倒谱,循环谱等,给出接收信号眼图及系统仿真误码率,用于建立主成分分析模型,模式识别中的bayes判别分析算法。- Partial least squares method, Is a good learning materials to learn PCA feature extraction, Multi-target tracking particle filter, Analysis
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- 基于kaiser窗的双谱线插值FFT谐波分析,数据包传送源码程序,多目标跟踪的粒子滤波器,用于信号特征提取、信号消噪,快速扩展随机生成树算法,仿真图是速度、距离、幅度三维图像,包括调制,解调,信噪比计算。- Dual-line interpolation FFT harmonic analysis kaiser windows, Data packet transfer source program, Multi-target tracking particle filter, For feat