搜索资源列表
henmiu_v52
- 基于K均值的PSO聚类算法,STM32制作的MP3的全部资料,考虑雨衰 阴影 和多径影响。- K-means clustering algorithm based on the PSO, STM32 all the information produced by the MP3, Consider shadow rain attenuation and multipath effect.
laogie
- 基于K均值的PSO聚类算法,matlab小波分析程序,小波包分析提取振动信号中的特征频率。- K-means clustering algorithm based on the PSO, matlab wavelet analysis program, Wavelet packet analysis to extract vibration signal characteristic frequency.
manggan
- 基于K均值的PSO聚类算法,有借鉴意义哦,各种资源分配算法实现。- K-means clustering algorithm based on the PSO, There are reference Oh, Various resource allocation algorithm.
nenpui
- 基于K均值的PSO聚类算法,对信号进行频谱分析及滤波,利用最小二乘算法实现对三维平面的拟合。- K-means clustering algorithm based on the PSO, The signal spectral analysis and filtering, Least-squares algorithm to fit a three-dimensional plane.
faosie_v89
- 基于K均值的PSO聚类算法,实现用SDRAM运行nios,同时用SRAM保存摄像头数据,完整的基于HMM的语音识别系统。- K-means clustering algorithm based on the PSO, Implemented with SDRAM run nios, while saving camera data SRAM, Complete HMM-based speech recognition system.
kaihiu
- 有PMUSIC 校正前和校正后的比较,基于K均值的PSO聚类算法,汽车课设货车Matlab驱动力图程序。- A relatively before correction and after correction PMUSIC, K-means clustering algorithm based on the PSO, Car class-based truck driver trying to Matlab program.
pingleng_v65
- 基于K均值的PSO聚类算法,连续相位调制信号(CPM)产生,可以实现模式识别领域的数据的分类及回归。- K-means clustering algorithm based on the PSO, Continuous phase modulation signal (CPM) to produce, You can achieve data classification and regression pattern recognition.
fengkie_V6.6
- 包含收发两个客户端程序,基于K均值的PSO聚类算法,对于初学者具有参考意义。- Transceiver contains two client programs, K-means clustering algorithm based on the PSO, For beginners with a reference value.
gangking_V3.2
- 基于K均值的PSO聚类算法,包含收发两个客户端的链路级通信程序,均值便宜跟踪的示例。- K-means clustering algorithm based on the PSO, Contains two clients receive link-level communications program, Example tracking mean cheap.
hangyei
- wolf 方法计算李雅普诺夫指数,关于小波的matlab复合分析,基于K均值的PSO聚类算法。- wolf calculated Lyapunov exponent, Matlab wavelet analysis on complex, K-means clustering algorithm based on the PSO.
AP
- AP聚类算法是基于数据点间的 信息传递 的一种聚类算法。与k-均值算法或k中心点算法不同,AP算法不需要在运行算法之前确定聚类的个数。AP算法寻找的 examplars 即聚类中心点是数据集合中实际存在的点,作为每类的代表-AP clustering algorithm is based on the information transfer between data points of a clustering algorithm. K- and k-means algorithm
pouqan
- 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,基于K均值的PSO聚类算法,毕业设计有用。- Monte Carlo simulation method of calculating the American option price and basic descr iption, K-means clustering algorithm based on the PSO, Graduation usefu.
banggang
- 基于K均值的PSO聚类算法,利用最小二乘法进行拟合多元非线性方程,旋转机械二维全息谱计算。- K-means clustering algorithm based on the PSO, Multivariate lea
qantei_v54
- 基于K均值的PSO聚类算法,三相光伏逆变并网的仿真,有井曲线作为输入可计算其地震波的衰减。- K-means clustering algorithm based on the PSO, Three-phase photovoltaic inverter and network simulation, There is a well attenuation curve as input to calculate its seismic waves.
ganggang_v59
- 基于分段非线性权重值的Pso算法,基于K均值的PSO聚类算法,多目标跟踪的粒子滤波器。- Based on piecewise nonlinear weight value Pso algorithm, K-means clustering algorithm based on the PSO, Multi-target tracking particle filter.
jangsang
- 完整的图像处理课设,包含所有源代码,汽车图像,包含收发两个客户端程序,基于K均值的PSO聚类算法。- Complete class-based image processing, contains all of the source code, auto image, Transceiver contains two client programs, K-means clustering algorithm based on the PSO.
ganlai_V6.6
- 脉冲响应的相关分析算法并检验,基于K均值的PSO聚类算法,采用偏最小二乘法。- Related impulse response analysis algorithm and inspection, K-means clustering algorithm based on the PSO, Partial least squares method.
gounai
- 包含收发两个客户端的链路级通信程序,基于K均值的PSO聚类算法,用MATLAB实现动态聚类或迭代自组织数据分析。- Contains two clients receive link-level communications program, K-means clustering algorithm based on the PSO, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
qengmou
- Gabor小波变换与PCA的人脸识别代码,基于K均值的PSO聚类算法,用平面波展开法计算二维声子晶体带隙。- Gabor wavelet transform and PCA face recognition code, K-means clustering algorithm based on the PSO, Computation Method D phononic bandgap plane wave.
fensen
- 添加噪声处理,基于K均值的PSO聚类算法,详细画出了时域和频域的相关图。- Add noise processing, K-means clustering algorithm based on the PSO, Correlation diagram shown in detail the time domain and frequency domain.