LFC

LTE论文（Channel Estimation, Carrier Recovery, and Data Detection in the Presence of Phase Noise in OFDM Relay Systems）(Channel Estimation, Carrier Recovery, and Data Detection in the Presence of Phase Noise in OFDM Relay Systems)

说明：  LMS (Least Mean Squares): most basic canonical ANC algo FxLMS (Filtered eXtended Least Mean Squares): adds an additional learned filter for the secondary path signal - signal from cancellation speakers to users ears - to account for phase problems and audio coloration added during practical noise cancellation applications NLMS (Normalized Least Mean Squares): adds simple adaptively updated learning rate on top of LMS to speed convergence. FxNLMS (Normalized Filtered eXtended Least Mean Squares): combines FxLMS and NLMS FuNLMS (Filtered-u Last Mean Squares): adds an additional active LMS filter to FxNLMS to cancel out noise bleeding from the cancellation speaker to the error mic. Fairly robust but convergence not gaurunteed!

将lms算法进行了适当改进，改进算法与基本的lms算法使用matlab进行仿真比较，效果明显。(Lms algorithm will be appropriate improvements to improve the algorithm and the basic algorithm uses matlab simulation lms compared to an evident result.)

this is apiby8D8psk captured signal for those who wants to check their algorithm for modulation classification and symbol rate estimation symbol rate used 1Mbps fs=20 or 40 MSPs and fc=5 MSPS

产生风荷载时间序列，可以用于风振动分析的来源数据(Generate wind load time series, can be used for the source of vibration analysis of wind data)

2阶3型锁相环仿真,完全个人编写，可设置参数，适合文章仿真使用。(2end order type-III PLL Simulation)

流形学习代码，典型的子空间学习方法，可用于人脸识别(manifold learning code, the typical learning space, which can be used for face recognition)

Brodatz Album 库中任取10幅图像，每幅图分成四小块，得到40幅小图像，取其中一幅小图像，对大图中其余三幅小图进行检索(image retrieval)

主要仿真了汽车模型，pid控制模型，两个模型在一起的整合(The main simulation model of the car, the pid control model, the integration of the two models together)

说明：  此程序基于matlab环境，实现小波、PCA、像素选大选小融合并有信息熵、平均梯度等融合评价标准(This program is based on matlab environment, and wavelet, PCA, pixel selection and integration of the election have little information entropy, average gradient of integration evaluation criteria)