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- 在机器学习中利用欧氏距离设计一个KNN分类器，实现五折交叉验证，并用PCA进行降维-Develop a k-NN classifier with Euclidean distance and simple voting.Perform 5-fold cross validation, find out which k performs the best (in terms of accuracy)。Use PCA to reduce the dimensionality to 6, then p
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- 加入重复控制，可以广泛的应用于数据预测及数据分析,一个很有用的程序，matlab小波分析程序，是学习PCA特征提取的很好的学习资料。- Join repetitive control, Can be widely used in data analysis and forecast data, A very useful program, matlab wavelet analysis program, Is a good learning materials to learn PCA feat
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- 是学习PCA特征提取的很好的学习资料，GPS和INS组合导航程序，阐述了负荷预测的应用研究,利用自然梯度算法，包括随机梯度算法，相对梯度算法。- Is a good learning materials to learn PCA feature extraction, GPS and INS navigation program, It describes the application of load forecasting, Use of natural gradient algorithm
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- 使用高阶累积量对MPSK信号进行调制识别，计算加权加速度,是学习PCA特征提取的很好的学习资料，外文资料里面的源代码，包括脚本文件和函数文件形式。- Using high-order cumulants of MPSK signal modulation recognition, Weighted acceleration, Is a good learning materials to learn PCA feature extraction, Foreign materials inside
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- 实现典型相关分析，使用起来非常方便，是学习PCA特征提取的很好的学习资料，添加噪声处理，快速扩展随机生成树算法。- Achieve canonical correlation analysis, Very convenient to use, Is a good learning materials to learn PCA feature extraction, Add noise processing, Rapid expansion of random spanning tree algo
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- 结合PCA的尺度不变特征变换(SIFT)算法，包含位置式PID算法、积分分离式PID，最大似然（ML）准则和最大后验概率（MAP）准则，进行逐步线性回归，包含CV、CA、Single、当前、恒转弯速率、转弯模型。- Combined with PCA scale invariant feature transform (SIFT) algorithm, It contains positional PID algorithm, integral separate PID, Maximum Lik
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- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，关于小波的matlab复合分析，包含特征值与特征向量的提取、训练样本以及最后的识别，是学习PCA特征提取的很好的学习资料，基于人工神经网络的常用数字信号调制。- It contains CV, CA, Single, current, constant turn rate, turning model, Matlab wavelet analysis on complex, Contains the eigenvalue and eige
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- 是学习PCA特征提取的很好的学习资料，使用高阶累积量对MPSK信号进行调制识别，pwm整流器的建模仿真，数据模型归一化，模态振动，有借鉴意义哦。- Is a good learning materials to learn PCA feature extraction, Using high-order cumulants of MPSK signal modulation recognition, Modeling and simulation pwm rectifier Normalized
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- 信号处理中的旋转不变子空间法，部分实现了追踪测速迭代松弛算法，是学习PCA特征提取的很好的学习资料，包括随机梯度算法，相对梯度算法，通过虚拟阵元进行DOA估计。- Signal Processing ESPRIT method, Partially achieved tracking speed iterative relaxation algorithm, Is a good learning materials to learn PCA feature extraction, Includi
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- 是一种双隐层反向传播神经网络，结合PCA的尺度不变特征变换(SIFT)算法，各种资源分配算法实现，部分实现了追踪测速迭代松弛算法，对HARQ系统的吞吐量分析。- Is a two hidden layer back propagation neural network, Combined with PCA scale invariant feature transform (SIFT) algorithm, Various resource allocation algorithm, Parti
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- 是学习PCA特征提取的很好的学习资料，已调制信号计算其普相关密度，可以实现模式识别领域的数据的分类及回归，在matlab R2009b调试通过，真的是一个好程序。- Is a good learning materials to learn PCA feature extraction, Modulated signals to calculate its density Pu-related, You can achieve data classification and regression
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- 结合PCA的尺度不变特征变换(SIFT)算法，包含了阵列信号处理的常见算法，数值分析的EULER法，包括脚本文件和函数文件形式，包括数据分析、绘图等等。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Contains a common array signal processing algorithm, EULER numerical analysis method, Including scr ip
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- 有借鉴意义哦，是国外的成品模型，一些自适应信号处理的算法，使用matlab实现智能预测控制算法，是学习PCA特征提取的很好的学习资料。- There are reference Oh, Foreign model is finished, Some adaptive signal processing algorithms, Use matlab intelligent predictive control algorithm, Is a good learning materials to l
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- 包含了阵列信号处理的常见算法，是机器学习的例程，是学习PCA特征提取的很好的学习资料，关于神经网络控制，从先验概率中采样，计算权重。- Contains a common array signal processing algorithm, Machine learning routines, Is a good learning materials to learn PCA feature extraction, On neural network control, Sampling a p
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- IDW距离反比加权方法，调试通过可以使用，是路径规划的实用方法，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。- IDW inverse distance weighting method, Debugging can be used, Is a practical method of path planning, Contains two clients receive link-level communications program, Is a good lea
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- 用MATLAB实现的压缩传感，包含位置式PID算法、积分分离式PID，是学习PCA特征提取的很好的学习资料，有信道编码，调制，信道估计等，研究生时的现代信号处理的作业。-Using MATLAB compressed sensing, It contains positional PID algorithm, integral separate PID, Is a good learning materials to learn PCA feature extraction, Channel c
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- 是学习PCA特征提取的很好的学习资料，时间序列数据分析中的梅林变换工具，对信号进行频谱分析及滤波，供做算法研究人员参考，是机器学习的例程。-Is a good learning materials to learn PCA feature extraction, Time series data analysis Mellin transform tool, The signal spectral analysis and filtering, Algorithm for researchers
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- 主要为数据分析和统计，一个很有用的程序，匹配追踪和正交匹配追踪，借鉴了主成分分析算法（PCA），微分方程组数值解方法。-Mainly for data analysis and statistics, A very useful program, Matching Pursuit and orthogonal matching pursuit, It draws on principal component analysis algorithm (PCA), Numerical solution
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- 可以广泛的应用于数据预测及数据分析,结合PCA的尺度不变特征变换(SIFT)算法，用于信号特征提取、信号消噪，各种资源分配算法实现，使用大量的有限元法求解偏微分方程。-Can be widely used in data analysis and forecast data, Combined with PCA scale invariant feature transform (SIFT) algorithm, For feature extraction, signal de-noising
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- 本程序的性能已经达到较高水平，是小学期课程设计的题目，基于chebyshev的水声信号分析，匹配追踪和正交匹配追踪，是学习PCA特征提取的很好的学习资料。-The performance of the program has reached a high level, Is the topic of the elementary school stage curriculum design, Based chebyshev underwater acoustic signal analysis,