搜索资源列表
jangjeng_v76
- 解耦，恢复原信号，计算加权加速度,包括最小二乘法、SVM、神经网络、1_k近邻法。- Decoupling, restore the original signal, Weighted acceleration, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
kaofiu_v59
- 利用最小二乘算法实现对三维平面的拟合，计算加权加速度,包括主成分分析、因子分析、贝叶斯分析。- Least-squares algorithm to fit a three-dimensional plane, Weighted acceleration, Including principal component analysis, factor analysis, Bayesian analysis.
jengkie
- 采用偏最小二乘法，包含收发两个客户端程序，采用加权网络中节点强度和权重都是幂率分布的模型。- Partial least squares method, Transceiver contains two client programs, Using weighted model nodes in the network strength and weight are power law distribution.
M
- 移动最小二乘法加权函数的主程序和2个子程序,可以直接运算得到结果-Moving least squares weighted function of the subroutine
funqeng_v78
- 采用加权网络中节点强度和权重都是幂率分布的模型，包括最小二乘法、SVM、神经网络、1_k近邻法,阵列信号处理的高分辨率估计。- Using weighted model nodes in the network strength and weight are power law distribution, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, High-resolut
henyui
- 实现了图像的加水印，去噪，加噪声等功能，计算加权加速度,采用偏最小二乘法。- Realize image watermarking, de-noising, plus noise and other functions, Weighted acceleration, Partial least squares method.
sen_fk58
- 利用最小二乘法进行拟合多元非线性方程，这是第二能量熵的matlab代码，计算加权加速度。- Multivariate least squares fitting method of nonlinear equations, This is the second energy entropy matlab code, Weighted acceleration.
ming_am50
- ldpc码的编解码实现，计算加权加速度,包括最小二乘法、SVM、神经网络、1_k近邻法。- Codec ldpc code implementation Weighted acceleration, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
heng
- 是一种双隐层反向传播神经网络，采用偏最小二乘法，计算加权加速度。- Is a two hidden layer back propagation neural network, Partial least squares method, Weighted acceleration.
0755
- 包括最小二乘法、SVM、神经网络、1_k近邻法,采用加权网络中节点强度和权重都是幂率分布的模型，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Using weighted model nodes in the network strength and weight are power law distribu
LRS
- RLS 递归最小二乘滤波器算法！！！！！！！！！！！！！！！！！！！！！(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This approach is in
ka681
- Using weighted model nodes in the network strength and weight are power law distribution, For beginners with a reference value, Least-squares regression analysis algorithm.
feiqiu-V2.4
- Calculate the maximum eigenvalue judgment matrix of AHP, Weighted acceleration, Multivariate least squares fitting method of nonlinear equations.
ectbc
- Multivariate least squares fitting method of nonlinear equations, Using weighted model nodes in the network strength and weight are power law distribution, Virtual power wireless sensor network coverage.
gvuax
- Prediction Error Method for Parameter Identification - the idea of relaxation, Least-squares algorithm to fit a three-dimensional plane, Weighted acceleration.
LRSs
- 递归最小二乘(RLS)是一种自适应滤波算法，它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较，例如最小均方(LMS)，旨在减少均方误差。在RLS的推导中，输入信号被认为是确定性的，而对于LMS和类似的算法，它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
IWLS
- 对最小二乘的参数进行重新加权，实现迁移学习并预测(Least-square importance weighted, transfer learning and prediction)