ASSINGMENTB_RafalMajorczyk_-Sharp8

matlab分别实现低通，带通，高通滤波器的程序(Filter-lowpass,bandpass,highpass. matlab )

延迟加载的，转发别人的，感觉不错，适合初学者使用的，可以了解下一部加载(Asynchronize of datagrid it fit newer)

Simulink下的电流闭环控制系统仿真，可根据需要修改Transfer Fcn1中的参数，找到一个在超调量和动态响应快慢上都比较满意的电流环调节器。(Simulink, the current closed-loop control system simulation, according to the need to modify the parameters Transfer Fcn1 find an overshoot on the dynamic response speed are more satisfied with the current loop regulator.)

reasearch papar or ieee paper for master of engineering student in matlab

关于freemarker的开发教程，并有很好的例子(About freemarker development tutorials, and have a good example)

说明：  模糊控制器的设计不依靠被控对象的模型，而是依靠控制专家或操作者的经验知识。模糊控制的突出优点是能够比较容易地将人的控制经验溶入到控制器中，但若缺乏一定的控制经验，很难设计出高水平的模糊控制器。而且，由于模糊控制器采用了IF-THRN控制规则，不便于控制参数的学习和调整，使得构造具有自适应的模糊控制器较困难。 自适应模糊控制是指具有自适应学习算法的模糊逻辑系统，其学习算法是依靠数据信息来调整模糊逻辑系统的参数。一个自适应模糊控制器可以用一个单一的自适应模糊系统构成，也可以用若干个自适应模糊系统构成。与传统的自适应控制相比，自适应模糊控制的优越性在于它可以利用操作人员提供的语言模糊性信息，对具有高度不确定因素的系统尤为重要(Fuzzy controller design does not rely on the controlled object model, but on control expert knowledge or experience of the operator. Highlight the advantages of fuzzy control is the ability to more easily control the experience of people integrated into the controller, but if a certain lack of control experience, it is difficult to design a high-level fuzzy controller. Moreover, since the fuzzy controller using the IF-THRN control rules is not easy to learn and adjust the control parameters, making construction more difficult adaptive fuzzy controller. Adaptive fuzzy control refers to the fuzzy logic system with adaptive learning algorithm, which is to rely on the data information learning algorithm to adjust the parameters of fuzzy logic systems. An adaptive fuzzy controller with a single adaptive fuzzy system configuration, you can also use a number of adaptive fuzzy system structure. Compared with the traditional adaptive control, adaptive fuzzy control advantages is that it can tak)

使用辛格模型的卡尔曼滤波器,主要针对机动目标进行跟踪识别(Singh models using Kalman filter)

DD算法实现语音增强，噪声谱估计，根据寂静帧和后面能量的对比来估计(DD algorithm speech enhancement, noise spectrum estimation, based on comparative silence frame and rear energy to estimate)

smart antenna. WS=Z where Z=[1 0 0..]T & S is the stearing vector.Find W? STEP1:Input Number of Array Elements, The Separation Distance Between Elements, The Operation Frequency, The Angle of Incidence of The Desired Source Signal , The Angle of Incidence of The Interference Un-Desired Source Signals Respectively, The Angle of Incidence of the Undesired Interference Source Signal STEP2: Estimatie The Weight Vector of A Null Steering Beamformer STEP3:Inverse of Steering Beamformer STEP4:Find Weights Vector by using equation W=S-1ZT STEP5:Plot

自己编写的svm程序，能实现特征数据的训练，一个不错的程序。(His writing the SVM procedure, can realize the characteristics of training data, a good program.)