Signal_and_Systems_Lab_7

MATLAB实现图像的SIFT特征提取，并做在不同光照、不同视角下的特征匹配(SIFT MATLAB for image feature extraction, and to do in different lighting, different from the Perspective of feature matching)

提供一种求解最优哈密尔顿的算法---三边交换调整法，要求在运行jiaohuan3（三交换法）之前，给定邻接矩阵C和节点个数N，结果路径存放于R中。(Hamilton provides an algorithm for solving optimal--- trilateral exchange adjustment method requires running jiaohuan3 (c exchange) before the given node number of the adjacency matrix C and N, the result stored in R in the path.)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

空域相关滤波matlab程序！ 参考文献： ％Wavelet transform domain filters:a spatially selective noise filtration technique(airspace procedures related filtering Matlab! References :% wavelet transform domain filters : a spatially selective noise filtration techni que)

最小二乘算法的实例，适合于初学者下载，附有详细注释(Examples of least-squares algorithm, suitable for beginners download, with detailed notes)

说明：  数字信号处理：自适应一步线性预测，自适应噪声抵消(Digital signal processing: adaptive noise cancellation, adaptive one-step linear prediction)

说明：  matlab程序，运用小波变换的方法进行轴承故障诊断(matlab program, using wavelet transform to detect bearing fault )

讲述了基于matlab的排爆机器人的控制与仿真，具有较好效果(About the control and simulation matlab-based EOD robot, with good results)

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):

在网上找的matlab讲义电子稿.pdf格式(matlab teaching material)