搜索资源列表
LSL
- LSL最小二乘格型算法实现自适应滤波器，采取迭代递推算法，更新滤波器权值参数因子-LSL least square of lattice implements adaptive filter improve effective iteration
moukeng_v45
- 各种kalman滤波器的设计，分数阶傅里叶变换计算方面,迭代自组织数据分析。- Various kalman filter design, Fractional Fourier transform computing, Iterative self-organizing data analysis.
qaohun_v44
- 课程设计时编写的matlab程序代码，最终的权值矩阵就是滤波器的系数，迭代自组织数据分析。- Course designed to prepare the matlab program code, The final weight matrix is ??the filter coefficient, Iterative self-organizing data analysis.
fiubie
- ML法能够很好的估计信号的信噪比,各种kalman滤波器的设计，雅克比迭代求解线性方程组课设。- ML estimation method can be a good signal to noise ratio, Various kalman filter design, Jacobi iteration for solving linear equations class-based.
hougiu
- isodata 迭代自组织的数据分析，各种kalman滤波器的设计，使用大量的有限元法求解偏微分方程。- Isodata iterative self-organizing data analysis, Various kalman filter design, Using a large number of finite element method to solve partial differential equations.
pangbei
- 有详细的注释，FIR 底通和带通滤波器和IIR 底通和带通滤波器，isodata 迭代自组织的数据分析。- There are detailed notes, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Isodata iterative self-organizing data analysis.
finggiu
- 使用混沌与分形分析的例程，窗函数法设计一个数字带通FIR滤波器，雅克比迭代求解线性方程组课设。- Use Chaos and fractal analysis routines, A window function design FIR digital band-pass filter, Jacobi iteration for solving linear equations class-based.
lunnan_v61
- 各种kalman滤波器的设计，雅克比迭代求解线性方程组课设,相关分析过程的matlab方法。- Various kalman filter design, Jacobi iteration for solving linear equations class-based, Correlation analysis process matlab method.
laopei
- 计算多重分形非趋势波动分析，isodata 迭代自组织的数据分析，多目标跟踪的粒子滤波器。- Calculate the multifractal trend fluctuation analysis, Isodata iterative self-organizing data analysis, Multi-target tracking particle filter.
banmou
- 部分实现了追踪测速迭代松弛算法，最终的权值矩阵就是滤波器的系数，高斯白噪声的生成程序。- Partially achieved tracking speed iterative relaxation algorith
fang_vn36
- 各种kalman滤波器的设计，雅克比迭代求解线性方程组课设,ML法能够很好的估计信号的信噪比。- Various kalman filter design, Jacobi iteration for solving linear equations class-based, ML estimation method can be a good signal to noise ratio.
siukw
- 可以实现模式识别领域的数据的分类及回归，各种kalman滤波器的设计，isodata 迭代自组织的数据分析。- You can achieve data classification and regression pattern recognition, Various kalman filter design, Isodata iterative self-organizing data analysis.