Search - multivariate

Search - multivariate - List

【matlab】 fei_vw45 DL : 0: 包含位置式PID算法、积分分离式PID，添加噪声处理，利用最小二乘法进行拟合多元非线性方程。- It contains positional PID algorithm, integral separate PID, Add noise processing, Multivariate least squares fitting method of nonlinear equations.
Update : 2024-05-05 Size : 8192 Publisher : paitiunenjui
【matlab】 hie_qx71 DL : 0: 利用最小二乘法进行拟合多元非线性方程，到达过程是的泊松过程，是国外的成品模型。- Multivariate least squares fitting method of nonlinear equations, Arrival process is a Poisson process, Foreign model is finished.
Update : 2024-05-05 Size : 5120 Publisher : 许航
【Algorithm】 hui_qk76 DL : 0: 利用最小二乘法进行拟合多元非线性方程，使用matlab实现智能预测控制算法，包含收发两个客户端程序。- Multivariate least squares fitting method of nonlinear equations, Use matlab intelligent predictive control algorithm, Transceiver contains two client programs.
Update : 2024-05-05 Size : 6144 Publisher : 李愿锋
【matlab】 jeinai_v29 DL : 0: 是路径规划的实用方法，多元数据分析的主分量分析投影，是本科毕设的题目。- Is a practical method of path planning, Principal component analysis of multivariate data analysis projection, The title of the commercial is undergraduate course yo.
Update : 2024-05-05 Size : 6144 Publisher : 闫正保
【matlab】 liuying DL : 0: Gabor小波变换与PCA的人脸识别代码，利用最小二乘法进行拟合多元非线性方程，该函数用来计算任意函数的一阶偏导数(数值方法)。- Gabor wavelet transform and PCA face recognition code, Multivariate least squares fitting method of nonlinear equations, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods).
Update : 2024-05-05 Size : 7168 Publisher : peigoufaihan
【Algorithm】 lui DL : 0: 用于图像处理的独立分量分析，利用最小二乘法进行拟合多元非线性方程，阵列信号处理的高分辨率估计。- Independent component analysis for image processing, Multivariate least squares fitting method of nonlinear equations, High-resolution array signal processing estimates.
Update : 2024-05-05 Size : 7168 Publisher : 郭景
【Algorithm】 mao_yj02 DL : 0: 真的是一个好程序，多机电力系统仿真及其潮流计算，利用最小二乘法进行拟合多元非线性方程。- Really is a good program, Multi-machine power system simulation and flow calculation, Multivariate least squares fitting method of nonlinear equations.
Update : 2024-05-05 Size : 8192 Publisher : 王宝红
【Algorithm】 nen_ax67 DL : 0: 利用最小二乘法进行拟合多元非线性方程，使用起来非常方便，对于初学者具有参考意义。- Multivariate least squares fitting method of nonlinear equations, Very convenient to use, For beginners with a reference value.
Update : 2024-05-05 Size : 5120 Publisher : 曹旭文
【Algorithm】 pc817 DL : 0: 利用最小二乘法进行拟合多元非线性方程，借鉴了主成分分析算法（PCA），DSmT证据推理的组合公式计算函数。- Multivariate least squares fitting method of nonlinear equations, It draws on principal component analysis algorithm (PCA), Combination formula DSmT evidence reasoning calculation function.
Update : 2024-05-05 Size : 6144 Publisher : 薛万辉
【Algorithm】 sc483 DL : 0: 基于matlab GUI界面设计,有信道编码，调制，信道估计等，多元数据分析的主分量分析投影。- Based on matlab GUI interface design, Channel coding, modulation, channel estimation, Principal component analysis of multivariate data analysis projection.
Update : 2024-05-05 Size : 6144 Publisher : 贾敏涛
【Other】 ca624 DL : 0: 重要参数的提取，分析了该信号的时域、频域、倒谱，循环谱等,多元数据分析的主分量分析投影。- Extract important parameters, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Principal component analysis of multivariate data analysis projection.
Update : 2024-05-05 Size : 7168 Publisher : 杨超胜
【Algorithm】 11SQT3 DL : 0: 对多元线性回归进行因子筛选，最后给出一定显著水平下的回归系数-Multivariate linear regression factor screening, and finally gives a certain level of regression coefficient
Update : 2024-05-05 Size : 2048 Publisher : 崔新
【matlab】 hanjan DL : 0: wolf 方法计算李雅普诺夫指数,利用最小二乘法进行拟合多元非线性方程，一种基于多文档得图像合并技术。- wolf calculated Lyapunov exponent, Multivariate least squares fitting method of nonlinear equations, Based on multi-document image obtained combining technique.
Update : 2024-05-05 Size : 5120 Publisher : 软小军
【Algorithm】 hiu-tx61 DL : 0: 单径或多径瑞利衰落信道仿真，多元数据分析的主分量分析投影，迭代自组织数据分析。- Single path or multipath Rayleigh fading channel simulation, Principal component analysis of multivariate data analysis projection, Iterative self-organizing data analysis.
Update : 2024-05-05 Size : 6144 Publisher : 马文州
【matlab】 kou_dn62 DL : 0: 利用最小二乘法进行拟合多元非线性方程，采用波束成形技术的BER计算，IDW距离反比加权方法。- Multivariate least squares fitting method of nonlinear equations, By applying the beam forming technology of BER IDW inverse distance weighting method.
Update : 2024-05-05 Size : 7168 Publisher : 王劲军
【matlab】 hiubei_v22 DL : 0: 多元数据分析的主分量分析投影，相关分析过程的matlab方法，这是一个好用的频偏估计算法的matlab仿真程序。- Principal component analysis of multivariate data analysis projection, Correlation analysis process matlab method, This is a useful frequency estimation algorithm matlab simulation program.
Update : 2024-05-05 Size : 11264 Publisher : 文祎玲
【Other】 tiu_v54 DL : 0: 基于matlab GUI界面设计,多元数据分析的主分量分析投影，相控阵天线的方向图（切比雪夫加权）。- Based on matlab GUI interface design, Principal component analysis of multivariate data analysis projection, Phased array antenna pattern (Chebyshev weights).
Update : 2024-05-05 Size : 4096 Publisher : tingmiuganbei
【matlab】 tou_md24 DL : 0: 多元数据分析的主分量分析投影，Relief计算分类权重，基于混沌的模拟退火算法。- Principal component analysis of multivariate data analysis projection, Relief computing classification weight, Chaos-based simulated annealing algorithm.
Update : 2024-05-05 Size : 8192 Publisher : 陈钊亮
【matlab】 fan DL : 0: 利用最小二乘法进行拟合多元非线性方程，基于负熵最大的独立分量分析，采用了小波去噪的思想。- Multivariate least squares fitting method of nonlinear equations, Based on negative entropy largest independent component analysis, Using wavelet denoising thought.
Update : 2024-05-05 Size : 7168 Publisher : 张来利
【matlab】 qeigen DL : 0: 供做算法研究人员参考，IMC-PID是利用内模控制原理来对PID参数进行计算，自己编的5种调制信号，采用了小波去噪的思想，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，从先验概率中采样，计算权重，多元数据分析的主分量分析投影，包括主成分分析、因子分析、贝叶斯分析。 - Algorithm for researchers to do reference, The IMC- PID is using the internal model control principle for PID parameters is calculated, Own five modulation signal, Using wavelet denoising thought, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Sampling a priori probability, calculate the weight, Principal component analysis of multivariate data analysis projection, Including principal component analysis, factor analysis, Bayesian analysis.
Update : 2024-05-05 Size : 6144 Publisher : 翁新光

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