搜索资源列表
lsm
- 是lsm算法的一个例子 ，可以实现图形，对学习自适应的有一定的帮助-lsm algorithm is an example, can achieve graphics, the adaptive learning can help
最小二乘的c++计算
- 最小二乘在工程中运用广泛，此c++程序能快速给出高精度的结果。
lsm-rbf
- 一种最小二乘法的RBF网络 --- --- --- --- --- ---- radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100
Ap
- Price the American put option via Monte carlo simulation and the LSM
LSM
- 最小二乘法(Least-square method)在matlab平台下的实现程序。-Least square method (Least-square method) in the matlab platform realize the procedure under.
LSM
- 递推最小二乘法估计的实现方法，很简单，有需要的就下吧-Recursive least squares estimation method is very simple, there is a need for it on the next
lsm
- 最小二乘一次完成算法及其matlab实现-Least squares method, matlab
LSM
- 自适应滤波算法（最小均方误差算法）matlab源码程序。-Adaptive filtering algorithm matlab source program。
LSM
- 增广最小二乘法，根据最小二乘法改变，用于辨识参数-LSM
lsm
- 递推最小二乘法，根据最小二乘法改变，可以辨识参数-LSM
lsm
- Liquid State Machine toolbox
lsm
- 数字信号处理 传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此我们需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。-DSP
idealcircle
- 已知平面上n个点坐标，利用最小二乘法，求得过这n个点的理想圆。-Knows N points, calculate the ideal circle by LSM method.
weina
- 基于matlab语言编写的维纳滤波与自适应滤波中LSM和RLS两种算法的仿真程序-Matlab language based on Wiener filtering and the RLS adaptive filtering in the LSM and the simulation program the two algorithms
lsm
- 最小二乘法matlAB源码最小二乘实现多项式拟合，数值分析作业，给初学者作为参考-Achieve least-squares polynomial fitting matlAB source least squares, numerical analysis operations, as a reference for beginners
lsm
- LSM算法的matlab code 有一些问题-code formatlab about LSM
LSM
- Implements Long Staff Schwartz methodolgy.
adaptive-filteryf
- 自适应滤波，LSM算法。参考文献：matlab辅助现代工程数字信号处理。绘制等值线，绘制学习曲线，求时间常数等。-Adaptive filtering, LSM algorithm. Reference: matlab to secondary modern engineering digital signal processing
lsm-jpeg
- 封装jpeg模块成简单调接口：打开文件，读写数据，关闭，可访问adobe自定义的jpeg标签。-Encapsulation the jpeg module is as simple tune interface: open the file, read and write data, close the access adobe jpeg tag custom.
LSM
- 最小二乘法拟合function [TrainingTime, TestingTime, TrainingAccuracy, TestingAccuracy] = LSM(Inputs, Targets, No_of_Output) a1=[]; a2=[]; a3=[]; a4=[]; %%%%%%%%%%%%% Selecte training set randomly a = Inputs; b = Targets; c = [ b' a']; [M,N] = size