M_Assignment1

image proccesing improved by using spatial filtering

计算有一个序列数据的线性相关系数.里面调用了MATLAB内置corrcoef函数，对取数据的序列自动处理(computing line-correlation coefficient with no interp)

一个关于matlab优化工具箱GOT中的遗传算法函数（GA）和全局优化算法函数（Globalsearch）优化能力的小对比，前者寻优快，但是结果不稳定，在风电场协同有功出力优化上面甚至可能比不过传统的单个风机层面的优化。后者计算量大，耗时较长，但是每次计算结果稳定，较传统单台风机层面优化有少量的提升。Tips:1,本文风场的建模只是采用了PARK模型，实际风场的气动过程应该还要复杂一些，未经实际风场验证，权当是工程优化入门 2,单个风机层面的功率系数Cp参数来源于NREL 5MW模型，跟实际叶片气动性能有关，可靠性未知。3,这种风场级别的协同优化主要考虑尾流因而更加适用于地形较平坦的风电场。《基于风机运行参数协同设定的风电场有功出力优化》是部分由这个程序支撑的，欢迎交流。(The classical operation strategy of a wind farm works with a principle that each wind turbine converting as much aerodynamic power as available the incoming airflow. But this does not guarantee that the power converted by the whole wind farm be a maximum due to the wake effect. Unlike the conventional operation, this paper proposes the collaborative setting of the operation point of each turbine so that the overall production of the wind farm is maximized. The optimization is performed by Matlab Global Optimization Toolbox(GOT) based on a PARK wake model accompany with the area-weighted quadratic sum method. The strategy was proved applicable in many cases by sensitivity analysis. As an important side effect, the proposed method also allows decreasing the added turbulence, hence the mechanical load produced by wakes. As a consequence, the overall wind farm availability is increased. )

子块DCT变换编码/帧内预测编码DPCM，基于JPEG量化矩阵的量化与反量化(block DCT encoding/decoding predictive coding DPCM. JPEG quantization matrix based on the quantitative and anti- quantization)

Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.

Matlab应用篇提供了大量的Matlab应用实例。配合前三篇所讲内容，巩固Matlab知识。(Matlab Application chapter provides a large number of application examples Matlab. Compatible with the three have said, the consolidation of Matlab knowledge.)

Image Segmentation Simplified

说明：  Matlab加扰解扰仿真系统，可以观察加解扰前后信号的时域和频域波形，有助于理解扰码的概念和解扰的过程(scrambling and de-scrambling Matlab simulation system can be observed around Deinterference signals in time domain and frequency domain waveforms scrambler help understand the concept of the process and Descramble)

何子述《现代信号处理及其应用》第6章课后习题代码，基于奇异值分解的MVDR方法进行信号频率估计的仿真实验(He sub-described " modern signal processing and its applications" in Chapter 6 Homework code MVDR method based on singular value decomposition of the signal frequency estimation simulation)

高斯白噪声的生成程序，采用了小波去噪的思想，小波包分析提取振动信号中的特征频率。( Gaussian white noise generator, Using wavelet denoising thought, Wavelet packet analysis to extract vibration signal characteristic frequency.)