Model-Predictive-Control

基于多输入多输出单载波频域均衡信道估计的正交循环序列(Circular Orthogonal Sequences Based Channel Estimation for MIMO SC-FDE Systems)

首先定义一个高斯白噪声，然后在正弦信号中添加白噪声，再对带噪声的正弦信号进行平均值滤波(First, a Gauss white noise is defined, then the white noise is added to the sinusoidal signal, and then the average filtering of the sinusoidal signal with noise is filtered)

一种进行小波降噪后，对特征库的信号进行信号经验模态分解的例子(An example of signal empirical mode decomposition for signal of characteristic library after wavelet de-noising)

计算稀土离子Tm3+，Ho3+共掺晶体双稳特性，基于速率方程计算不同泵浦光泵浦时各能级粒子数分布(Calculation of rare-earth ion Tm3+, Ho3+ co-doped crystal bistable characteristics, based on the rate equations of different pump pump level at the time of particle number distribution)

滤波器设计示例：matlab设计IIR基本示例，matlab设计IIR高级示例，matlab窗函数设计FIR滤波器基本示例。(Filter Design Example: matlab basic sample design of IIR, matlab advanced example of IIR design, matlab window function, the basic design of FIR filter example.)

Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems. LLE also begins by finding a set of the nearest neighbors of each point. It then computes a set of weights for each point that best describe the point as a linear combination of its neighbors. Finally, it uses an eigenvector-based optimization technique to find the low-dimensional embedding of points, such that each point is still described with the same linear combination of its neighbors. LLE tends to handle non-uniform sample densities poorly because there is no fixed unit to prevent the weights from drifting as various regions differ in sample densities. LLE has no internal model.

this is my file that predict tunnel steltment by Matlab

该模型为十二脉波整流系统环流问题研究matlab仿真模型，研究环流问题的果断收藏了吧(matlab models of transformer)

mbedded Zerotrees of Wavelet transforms (EZW) is a lossy image compression algorithm. At low bit rates, i.e. high compression ratios, most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). The locations where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.

说明：  Solving SVM through SMO