搜索资源列表
MIMORLS
- 系统辨识与自适应控制---MIMO系统递推最小二乘参数估计（本程序针对2入2出系统）-System identification and adaptive control systems--- MIMO recursive least squares parameter estimation (the program for 2 into 2 systems)
FF-RLST
- 系统辨识中的递归最小二乘参数估计的matlab程序算法-System Identification of recursive least-squares parameter estimation algorithm matlab program
lubanglssvm
- 基于鲁棒学习的最小二乘支持向量机及其应用 鉴于最小二乘支持向量机比标准支持向量机具有更高的计算效率和拟合精度, 但缺少标准支持向量机的鲁 棒性, 即当采样数据存在奇异点或者误差变量的高斯分布假设不成立时, 会导致不稳健的估计结果, 提出了一种鲁棒 最小二乘支持向量机方法. 该方法在最小二乘支持向量机基础上, 通过引入鲁棒学习方法来获得鲁棒估计. 仿真分析 及某湿法冶金厂的应用实例验证了该方法的可行性和有效性.- Least squares support vector mac
1
- matlab实现： ①用乘同余数法产生白噪声 ②遗忘因子递推最小二乘参数估计（FFRLS）③M序列及逆M序列的产生④批处理最小二乘参数估计（LS）⑤产生m序列-Use by remnant produce white noise with law
2
- matlab实现：①递推增广最小二乘参数估计（RELS）②确定性系统的递推梯度校正参数估计（RGC）③递推最小二乘参数估计（RLS）④递推极大似然参数估计（RML）⑤递推随机牛顿参数估计（RSNA）-Matlab: (1) augmented recursive least square parameters estimation (RELS) (2) of a deterministic system recursive gradient correction parameter estima
chap2_12_MIMO_RLS
- MIMO系统递推最小二乘参数估计（本程序针对2入2出系统） 在实际通信系统仿真过程中非常有用-The multiple-input multiple-output (MIMO) system recursive least square parameters estimation (the program into a system for 2 2) In the actual communication system simulation process is very useful
sc_fde
- 单载波系统在高斯白噪声和多径信道条件下的仿真——加入独立字导频且采用最小二乘信道估计-Single carrier system in gaussian white noise and multipath channel under the condition of the simulation to join the independent word frequency and the least square estimation channel
desk
- 状态估计程序,用于状态估计计算，程序包括状态量输入，以及最小二乘算法-state estimate program
SCOT
- 频域SCOT自适应时延估计，实质上是对广义功率频函数平方得到的数的相位谱做最小二乘拟合，求得时延估计。-Frequency domain SCOT adaptive time delay estimation, is essentially the generalized power-frequency phase of the function of the square of the number spectrum of the least squares fitting obtained
chap2_05_LS
- 非常好而且比较经典的批处理最小二乘参数估计算法。-Very good and classic batch least squares parameter estimation algorithm.
sensor_error_estimation
- 传感器系统的偏差估计方法，包括批处理最小二乘和递推最小二乘的实现代码。-The code realize the deviation estimation methods of the sensor system, including batch least squares and recursive least squares implementation.
rls
- 递推最小二乘参数估计，即递推最小二乘法参数估计算法-Recursive least squares parameter estimation, the recursive least square parameter estimation algorithm
parameter_estimation_Matlab_code
- 统计信号处理，参数估计的方法，包括：最大似然，最小二乘方法，Monte_Carlo-Statistical signal processing, parameter estimation methods, including: maximum likelihood, least squares method, Monte_Carlo
near-field-
- 近场信号源估计的源代码，基于线性预测理论的最小二乘准则代码，music，esprit和LS的部分代码-Near-field source estimates the source code, based on linear prediction theory, least squares criterion code, music, esprit and LS code
erchengfa3d
- 基于最小二乘位置估计定位方法（三维的）可产生图-(Three-dimensional) positioning method based on least squares position estimation in Figure
LS_CE
- 无线通信的信道估计中的最小二乘信道估计法的Matlab实现函数-Matlab realize the function of the wireless communication channel estimation least squares channel estimation method
zuixiaoercheng
- 本程序具体描述了利用最小二乘算法对混合信号进行AR参数和其功率谱估计。-This procedure describes the use of least square algorithm for mixed signal AR parameter and its power spectrum estimation.
least-square
- 最小二乘配置方法，同时给出拟合结果与插值精度估计-Least squares collocation method, given fitting results and interpolation accuracy is estimated
RELS
- 增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。-Augmented least squares of recursion algorithm corresponding noise model for moving average
RCLS
- 在最小二乘参数估计值的基础上，引进补偿项σW2C-1D Ø 0，则获得了参数的无偏估计。针对模型噪声来说，RCLS算法的适应能力比RLS更好。-In the least squares estimation parameters, on the basis of introduction of compensation term σ W2C- 1 d Ø 0, then get the parameters of the unbiased estimation. Accordi