LMS

这不是一个标准MATLAB的函数 H = hpfilter （类型，男，氮， D0 ， n ）的创建传递函数的高通滤波器，氢，指定的类型和大小MxN 。可能的值类型， D0和N是： 理想 理想高通滤波器的截止频率D0 。 Ifsupplied ， n是被忽略。 btw 巴特沃思高通滤波器 n阶和截止D0 。 gaussn 高斯高通滤波器的截止（标准偏差） D0 。 如果提供，正被忽略。 M和N应该是偶数的密度泛函过滤。(THIS IS NOT A STANDARD MATLAB FUNCTION H = hpfilter (type,M,N,D0,n) creates the transfer function of a highpass filter, H, of the specified type and size MxN. Possible values for type, D0, and n are: ideal Ideal highpass filter with cutoff frequency D0. Ifsupplied, n is ignored. btw Butterworth highpass filter of order n, and cutoff D0. gaussn Gaussian highpass filter with cutoff (standard deviation)D0. )

利用可视图理论对时间序列建网，得到复杂网络，再求取该网络的聚集系数(throuth the theory of time series of network construction, we get the complex network, and then calculate the clustering coefficient of the network)

说明：  归一化梯度 matlab编写的一种算法，以及处理过程(Normalized gradient)

Matlab最优化计算中的无约束多维极值问题(Matlab Optimization of unconstrained multi-dimensional calculation of extremal problem)

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

采用三阶或四阶中心B样条绘出B样条的图像，与任意信号卷积求逆将信号复原(Through the realization of third order or fourth order center B spline B spline drawn images, and any signal convolution inverse recovery signals)

用数学软件包MATLAB求解线性规划问题，用数学软件包LINDO、LINGO求解线性规划问题，建模案例：投资的收益与风险.(Solve linear programming problems using the mathematical package MATLAB mathematical software package LINDO, LINGO solve linear programming problems, modeling case: benefits and risks of investment.)

《MATLAB简明教程》俺买的最新版的MATLAB教材，相当权威的，你绝对下不到更好的 了("Concise Guide to MATLAB," I bought the latest version of MATLAB materials, authoritative, you definitely less than the better)

MATLAB implementation of SPIHT (without Arithmatic coding stage). ％ Performance evaluation : this toolbox VS. SPIHT ％ Test image: lena512.raw ％ bpp SPIHT(dB) This code(dB) ％ 0.1000 29.8107 29.3202 ％ 0.2000 32.7202 32.2514 ％ 0.3000 34.5479 34.0331 ％ 0.4000 35.8422 35.4857 ％ 0.5000 36.8623 36.5939 ％ 0.6000 37.6650 37.3759 ％ 0.7000 38.2581 38.0491 ％ 0.8000 38.9390 38.7058 ％ 0.9000 39.5218 39.3437 (MATLAB implementation of SPIHT (without A rithmatic coding stage). Performance evalua% tion : this toolbox VS. SPIHT%% Test image : lena512.raw%% bpp SPIHT (dB) This code (dB)% 0. 1000 29.8107 32.7202 0.2000 29.3202% 32.2514% 0.3000 0.4000 34.5479 34.0331% 35.8422 35.485 7% 0.5000 0.6000 36.8623 36.5939% 37.6650 37.3 759% 38.0491% 0.7000 0.8000 38.2581 38.9390 38 .7058 0.9000 39.5218 39.3437%)

parallel RLS algorithm