Optimal-MATLAB

这是kalman滤波的仿真作业,实现kalman滤波在目标跟踪中的应用(This is a simulation of kalman filtering operations, realize kalman filtering in target tracking application)

自适应滤波器 采用改进的rls算法 LMS 算法 (adaptive filter optimal rls and lms algorithms)

说明：  matlab实现的语音分析，其中，有lpc分析。程序都经过软件验证，没有错误。(matlab implementation of speech analysis, of which there lpc analysis. Software programs have been validated without error.)

说明：  用于图像处理，可以产生灰度图像。原理是采用滤波器滤除噪声。(For image processing, can produce gray scale images. Applies a filter filtering noise.)

used to remove the blur affecting the images

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

说明：  matlab图像处理小程序,包括，图形显示、滤波，除噪、变换等。适用于一些新手。(MATLAB image processing procedures, including graphics display, filtering, denoising and transform. Apply to beginners.)

在MATLAB环境下，对相位图和滤波后的图片进行三维展示。(In the MATLAB environment, the phase diagram and filtering after pictures for 3 d display.)

离散时间的基本运算，是MATLAB函数改进增强版本，更加的实用，包括卷积，折叠等基本运算(Discrete-time basic operations, is an enhanced version of MATLAB function improved, more practical, including convolution, folding and other basic operations)

kalman一维滤波，采用两点差分法确定初始值，并仿真出不同初值情况下的估计效果(the fiter base on kalman)