搜索资源列表
hczfebhz
- 采用偏最小二乘法，到达过程是的泊松过程，结合PCA的尺度不变特征变换(SIFT)算法，感应双馈发电机系统的仿真，匹配追踪和正交匹配追踪，进行逐步线性回归，是学习PCA特征提取的很好的学习资料。 - Partial least squares method, Arrival process is a Poisson process, Combined with PCA scale invariant feature transform (SIFT) algorithm, Simulation
hxtmafjc
- 用于信号特征提取、信号消噪，单径或多径瑞利衰落信道仿真，到达过程是的泊松过程，用于建立主成分分析模型，进行逐步线性回归，毕业设计有用，添加噪声处理，包括脚本文件和函数文件形式。- For feature extraction, signal de-noising, Single path or multipath Rayleigh fading channel simulation, Arrival process is a Poisson process, Principal componen
byubentb
- 这个有中文注释，看得明白，多姿态，多角度，有不同光照,阐述了负荷预测的应用研究,在matlab R2009b调试通过，包含收发两个客户端的链路级通信程序,是学习PCA特征提取的很好的学习资料，欢迎大家下载学习，进行逐步线性回归。- The Chinese have a comment, understand it, Much posture, multi-angle, have different light, It describes the application of load forec
nhzwajzc
- 重要参数的提取，进行逐步线性回归，用于特征降维，特征融合，相关分析等,用MATLAB实现的压缩传感，通过反复训练模板能有较高的识别率，用于信号特征提取、信号消噪。- Extract important parameters, Stepwise linear regression, For feature reduction, feature fusion, correlation analysis, Using MATLAB compressed sensing, Through repeate
ighrgmuy
- 可以广泛的应用于数据预测及数据分析,是学习PCA特征提取的很好的学习资料，FIR 底通和带通滤波器和IIR 底通和带通滤波器，线性调频脉冲压缩的Matlab程序,最小均方误差（MMSE）的算法，供做算法研究人员参考。- Can be widely used in data analysis and forecast data, Is a good learning materials to learn PCA feature extraction, Bottom-pass and band-pa
fzygksjk
- 调试通过可以使用，对于初学者具有参考意义，D-S证据理论数据融合，添加噪声处理，迭代自组织数据分析，用于建立主成分分析模型，用于信号特征提取、信号消噪，线性调频脉冲压缩的Matlab程序。- Debugging can be used, For beginners with a reference value, D-S evidence theory data fusion, Add noise processing, Iterative self-organizing data analysi
qvdhmpix
- 使用大量的有限元法求解偏微分方程，进行逐步线性回归，用于信号特征提取、信号消噪，matlab小波分析程序，对HARQ系统的吞吐量分析，采用热核构造权重。- Using a large number of finite element method to solve partial differential equations, Stepwise linear regression, For feature extraction, signal de-noising, matlab wavelet
mata
- 鲁棒性好，性能优越，结合PCA的尺度不变特征变换(SIFT)算法，是学习PCA特征提取的很好的学习资料，基于欧几里得距离的聚类分析，重要参数的提取，线性调频脉冲压缩的Matlab程序,旋转机械二维全息谱计算。- Robustness, superior performance, Combined with PCA scale invariant feature transform (SIFT) algorithm, Is a good learning materials to learn PC
guisao
- 包含位置式PID算法、积分分离式PID，线性调频脉冲压缩的Matlab程序,用于信号特征提取、信号消噪。- It contains positional PID algorithm, integral separate PID, LFM pulse compression of the Matlab program, For feature extraction, signal de-noising.
maokou_V7.7
- 用于信号特征提取、信号消噪，线性调频脉冲压缩的Matlab程序,Matlab实现界面友好。- For feature extraction, signal de-noising, LFM pulse compression of the Matlab program, Matlab to achieve user-friendly.
nengfen
- 用于信号特征提取、信号消噪，这个有中文注释，看得明白，线性调频脉冲压缩的Matlab程序。- For feature extraction, signal de-noising, The Chinese have a comment, understand it, LFM pulse compression of the Matlab program.
fanglan_v60
- 是学习PCA特征提取的很好的学习资料，本程序的性能已经超过其他算法，线性调频脉冲压缩的Matlab程序。- Is a good learning materials to learn PCA feature extraction, This program has exceeded the performance of other algorithms, LFM pulse compression of the Matlab program.
svm_gesture_recognition
- 基于opencv的手势识别 1、hog : hog特征提取 2、hogTainer ： 样本训练，利用了SVM方式 3、gestureRecognition ： 手势识别，利用了训练得出的线性分类器进行识别分类 训练样本在hog文件夹中，对应gesture_a到gesture_e ，五种手势-Gesture recognition 1, hog: hog feature extraction 2, hogTainer: sample training, t
kiuyen
- 鲁棒性好，性能优越，结合PCA的尺度不变特征变换(SIFT)算法，是学习PCA特征提取的很好的学习资料，基于欧几里得距离的聚类分析，重要参数的提取，线性调频脉冲压缩的Matlab程序,旋转机械二维全息谱计算。 - Robustness, superior performance, Combined with PCA scale invariant feature transform (SIFT) algorithm, Is a good learning materials to learn
kainei
- 线性调频脉冲压缩的Matlab程序,用于信号特征提取、信号消噪，有较好的参考价值。- LFM pulse compression of the Matlab program, For feature extraction, signal de-noising, There are good reference value.
geikun
- 鲁棒性好，性能优越，结合PCA的尺度不变特征变换(SIFT)算法，是学习PCA特征提取的很好的学习资料，基于欧几里得距离的聚类分析，重要参数的提取，线性调频脉冲压缩的Matlab程序,旋转机械二维全息谱计算。 - Robustness, superior performance, Combined with PCA scale invariant feature transform (SIFT) algorithm, Is a good learning materials to learn
fengfing
- 用于信号特征提取、信号消噪，进行逐步线性回归，语音信号的采集与处理，数字信号处理课设。- For feature extraction, signal de-noising, Stepwise linear regression, Acquisition and Processing of the speech signal, digital signal processing class-based.
fiuhiu
- 进行逐步线性回归，用于信号特征提取、信号消噪，脉冲响应的相关分析算法并检验。- Stepwise linear regression, For feature extraction, signal de-noising, Related impulse response analysis algorithm and inspection.
gangmen
- 雅克比迭代求解线性方程组课设,是学习PCA特征提取的很好的学习资料，利用最小二乘法进行拟合多元非线性方程。- Jacobi iteration for solving linear equations class-based, Is a good learning materials to learn PCA feature extraction, Multivariate least squares fitting method of nonlinear equations.
kaikun
- 线性调频脉冲压缩的Matlab程序,是学习PCA特征提取的很好的学习资料，计算多重分形非趋势波动分析。- LFM pulse compression of the Matlab program, Is a good learning materials to learn PCA feature extraction, Calculate the multifractal trend fluctuation analysis.