搜索资源列表
LS-svm用于回归分析
- Matlab LS-svm用于回归分析,LS-svm regression analysis
LombScargle
- 这是利用MATLAB做L-S谱分析的程序,主要用于功率谱分析,简单易懂-MATLAB to do this is to use spectral analysis of the LS procedure, mainly used for power spectral analysis, easy-to-read
MSE
- 基于MATLAB的信道估计LS代码 可运行-MATLAB-based channel estimation of the LS code can run
LS-308-1024-TINY13
- TINY13单片机实现伺服器应用汇编程序-TINY13 The server is applied
LS
- 试验模态分析的时域识别方法的一种,可以识别出信号的模态参数,固有频率阻尼比振型系数,-Experimental modal analysis of a time-domain identification method that can identify the signal modal parameters, natural frequency mode of vibration damping ratio coefficient,
ofdm
- 在ofdm调制中运用压缩感知中OMP算法进行信道估计并与LS算法进行比较-Ofdm modulation using compressed sensing OMP algorithm for channel estimation and comparison with the LS algorithm
matlab-LTE-xindaoguji
- 实现LTE下行信道估计,有LS、LMMSE、SVD-MMSE和线性插值、二阶插值、三次样条插值等算法-LTE downlink channel estimation, LS, LMMSE, SVD-MMSE and linear interpolation, second order interpolation, cubic spline interpolation algorithm
Fuzzy_entropy_bbd
- 模糊熵, 为解决从信号中提取故障特征难的问题, 介绍了一种新的信号故障特征提取方法—— 多尺度熵( multi-scale entro py, 简称MSE) , 并将样本熵和多尺度熵分别应用于转子故障信号复杂性的度量, 以提取故障特征。试验数据 分析表明, 与样本熵相比, 多尺度熵更能有效地实现转子故障类型的诊断。-A new rolling bearing fault diagnosis approach based onmultiscale permutation entropy (
smart--antenna
- 关于智能天线的一些MATLAB仿真源程序,详细讲述了波束成形、波达方向以及LMS算法、LS算法等仿真程序,具有通俗易懂,便于修改调试等特点-About Smart Antenna some MATLAB simulation source code, a detailed account of beamforming, direction of arrival and the LMS algorithm, LS algorithm simulation program, with user-fr
LS-DYNA
- LS-DYNA动力学分析,主要适用于显式动力学分析,本程序主要是K文件,希望能给大家了解一点如何修改K文件。-LS-DYNA dynamics analysis, mainly applied in the explicit dynamics analysis, this procedure is mainly K file, I hope everyone can understand a little how to modify the K file.
OFDM-estimate
- 在OFDM系统下,采用LS、MMSE、DCT、lrmmse等方法进行信道估计-channal estimate
LS
- 最小二乘法的应用在导航中,其中的最小二乘部分的程序,最小二乘法的准则应用广泛,而且用处很大-The application of least squares method in the navigation, the least squares part of the program, the least squares method is widely used, but also very useful
