Wind_Turbine-Master_thesis-BTH

machine learning-optimiztion

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

用于检测出图像中所存在物体的边缘 (Edge can be used to detect the presence of objects in the image)

another matlab demo about reinforcement learning

视频数据的模式识别，在数字电视模式识别中有用的源代码(The video data of the pattern recognition, the source code useful in digital television pattern recognition)

MUSIC算法和Capon算法的仿真程序，自己编写，注释详细，方便大家理解(MUSIC algorithm and Capon algorithm simulation program, their preparation, detailed notes, to facilitate understanding)

利用瞬时测频接收机分别采用比相法、频率搜索法，编程实现对带内任意频率的测量。(The use of instantaneous frequency measurement receiver were used to achieve measurement of any frequency band than the phase method, frequency search method, programming.)

图像处理，用matlab编程，细胞边缘检测及癌细胞的识别！(Image processing, using matlab programming, cell edge detection and identification of cancer cells!)

说明：  谱估计的MUSIC算法，里面有详细的介绍，对做谱估计的同学应该有帮助。(The MUSIC spectral estimation algorithm, there are detailed introduction to the spectral estimation of the students do should be helpful.)

用matlab实现一个维纳滤波器，用于滤除噪声。(Using matlab to achieve a Wiener filter for filtering noise.)