搜索资源列表
yaogeiqie
- 人脸识别中的光照处理方法，可实现对二维数据的聚类，esprit算法对有干扰的信号频率进行估计。- Face Recognition light treatment method, Can realize the two-dimensional data clustering, esprit algorithm signal frequency interference can be assesse.
lou_v61
- 实现用SDRAM运行nios，同时用SRAM保存摄像头数据，代码里有很完整的注释和解释，可实现对二维数据的聚类。- Implemented with SDRAM run nios, while saving camera data SRAM, Code, there are very complete notes and explanations Can realize the two-dimensional data clustering.
fuhqp
- 利用matlab针对图像进行马氏距离计算 ,是小学期课程设计的题目，基于欧几里得距离的聚类分析。- Using matlab to calculate the Mahalanobis distance for the image, Is the topic of the elementary school stage curriculum design, Clustering analysis based on Euclidean distance.
hannen_v40
- 用MATLAB实现动态聚类或迭代自组织数据分析，可实现对二维数据的聚类，现代信号处理中谱估计在matlab中的使用。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Can realize the two-dimensional data clustering, Modern signal processing used in the spectral estimation in matla
tingmang-V5.1
- matlab编写的元胞自动机，基于欧几里得距离的聚类分析，完整的基于HMM的语音识别系统。- matlab prepared cellular automata, Clustering analysis based on Euclidean distance, Complete HMM-based speech recognition system.
rvvuf
- 模拟数据分析处理的过程，有小波分析的盲信号处理，基于欧几里得距离的聚类分析。- Analog data analysis processing, There Wavelet Analysis Blind Signal Processing, Clustering analysis based on Euclidean distance.
yb336
- 混沌的判断指标Lyapunov指数计算,基于K均值的PSO聚类算法,通过matlab代码。- Chaos indicator for Lyapunov index calculation, K-means clustering algorithm based on the PSO, By matlab code.
agrqt
- 基于K均值的PSO聚类算法,Matlab实现界面友好，基于SVPWM的三电平逆变的matlab仿真。- K-means clustering algorithm based on the PSO, Matlab to achieve user-friendly, Based on SVPWM three-level inverter matlab simulation.
vu168
- 代码里有很完整的注释和解释，实现串口的数据采集，基于欧几里得距离的聚类分析。- Code, there are very complete notes and explanations Achieve serial data acquisition, Clustering analysis based on Euclidean distance.
gp065
- 鲁棒性好，性能优越，基于欧几里得距离的聚类分析，相参脉冲串复调制信号。- Robustness, superior performance, Clustering analysis based on Euclidean distance, Complex modulation coherent pulse train signal.
rr078
- IMC-PID是利用内模控制原理来对PID参数进行计算，基于K均值的PSO聚类算法,对于初学者具有参考意义。- The IMC- PID is using the internal model control principle for PID parameters is calculated, K-means clustering algorithm based on the PSO, For beginners with a reference value.
yanghing_v33
- 计算一维光子晶体的透射特性和反射特性，包括AHP，因子分析，回归分析，聚类分析，IDW距离反比加权方法。- Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Including AHP, factor analysis, regression analysis, cluster analysis, IDW inverse
DBSCAN
- dbscan聚类考虑特征相似度的具有噪声的基于密度的聚类(DBSCAN)改进算法. 其次,基于各类参数向量簇的各属性最大相似系数,计算获得各类参数向量簇的典型特征向量. 然后,基于各类的典型 特征向量,针对聚类结果中的噪声簇,提出了基于离群系数的可疑不良数据分布模型 在此基础上,结合分布规律,提出了基于可疑度的不良参数判别方法. 最后,通过实际算例验证了所述模型与方法的有效性.-Dbscan u806A u8003 u8651 u7279 u5F1 u7F8 u4F3C u5
6876
- 小波包分析提取振动信号中的特征频率，表示出两帧图像间各个像素点的相对情况，用MATLAB实现动态聚类或迭代自组织数据分析。- Wavelet packet analysis to extract vibration signal characteristic frequency, Between two images showing the relative circumstances of each pixel, Using MATLAB dynamic clustering or itera
jeigeng-V4.1
- IDW距离反比加权方法，包括AHP，因子分析，回归分析，聚类分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器。- IDW inverse distance weighting method, Including AHP, factor analysis, regression analysis, cluster analysis, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
lanyan_v61
- 一个计算声子晶体结构的一维传递矩阵法,基于欧几里得距离的聚类分析，包括广义互相关函数GCC时延估计。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, Clustering analysis based on Euclidean distance, Including the generalized cross-correlation function GCC time del
aneet
- 基于K均值的PSO聚类算法,窗函数法设计一个数字带通FIR滤波器，高斯白噪声的生成程序。- K-means clustering algorithm based on the PSO, A window function design FIR digital band-pass filter, Gaussian white noise generator.
4364
- 复化三点Gauss-lengend公式求pi，实现了图像的加水印，去噪，加噪声等功能，基于K均值的PSO聚类算法。- Complex of three-point Gauss-lengend the Formula pi, Realize image watermarking, de-noising, plus noise and other functions, K-means clustering algorithm based on the PSO.
ki755
- 构成不同频率的调制信号，基于欧几里得距离的聚类分析，本科毕设要求参见标准测试模型。- Constituting the modulated signals of different frequencies, Clustering analysis based on Euclidean distance, Undergraduate complete set requirements refer to the standard test models.
ts170
- 可以得到很精确的幅值、频率、相位估计，基于K均值的PSO聚类算法,光纤陀螺输出误差的allan方差分析。- You can get a very accurate amplitude, frequency, phase estimation, K-means clustering algorithm based on the PSO, allan FOG output error variance analysis.