weinalvboqi

kalman算法 是对GPS接受机误差的修正 可以纠正GPS的一定误差范围(Tracking algorithm is on GPS receiver that the error will be corrected GPS necessarily error)

基于matlab的pso粒子群算法 很有用(matlab pso)

利用matlab计算点电荷场强的教程 清晰易懂~(Calculated using matlab tutorial point charge field lucid ~)

说明：  本算法是基于蝙蝠优化算法BA优化SVM，可以大大提高VMD的分类准确率，提高优化时间。(This algorithm is based on bat optimization algorithm BA to optimize SVM, which can greatly improve the classification accuracy of VMD and improve the optimization time.)

多重判别分析，根据输入样本和标签自动生成判别空间(Multiple discriminant analysis, and labeling of the input sample space automatically generated discriminant)

matlab灰色关联度预测模型，带详细说明。 并计算残差，相对误差，级比偏差值。(Matlab gray relational grade prediction model, with detailed instructions. And calculate the residuals, the relative error level than the deviation.)

computes the intersection of a plane and a segment

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.)

image quality measures good for you

Digital image processing is the processing and display of images. Emphasis is placed on the modification of the image. There are three main categories of image processing