提出了一种L型阵列的网格自适应模型,并提出了网格自适应的稀疏贝叶斯(Grid Adaptive Sparse Bayesian Learning,GASBL)二维DOA估计方法.该方法首先通过层级建模,进而在... Y Pan,H Zhu,N Tai,... 被引量: 0发表: 2015年 ISAR imaging method based on the Bayesian group-sparse modeling The traditional sparse...
You are given a 2-D rectangular grid in which a robot is supposed to move from one location to another. The grid contains n rows and m columns, with row values in the range (0,n – 1) and column values in the range [0, m – 1]...
n = 2^10; % size of mask M = zeros(n); I = 1:n; x = I-n/2; % mask x-coordinates y = n/2-I; % mask y-coordinates [X,Y] = meshgrid(x,y); % create 2-D mask grid R = 10; % aperture radius A = (X.^2 + Y.^2 <= R^2); % circular aperture of radius R ...
n = 2^10; % size of mask M = zeros(n); I = 1:n; x = I-n/2; % mask x-coordinates y = n/2-I; % mask y-coordinates [X,Y] = meshgrid(x,y); % create 2-D mask grid R = 10; % aperture radius A = (X.^2 + Y.^2 <= R^2); % circular aperture of radius R ...
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GRIDD2 Description GRIDD 2 is the sequel of the Windows Phone award winner game GRIDD. Play endlessly, avoid obstacles, fight enemies and set your best score in this neon looking old fashioned Shoot Em Up! You can play using accelerometers or touch controls!
For best accuracy the map / occupancy grid should have walls that are just 1 pixel thick. Your map has walls with several pixels thick. This may cause the matching algorithms to oscillate slightly, because the laser scan matching can slide within the pixels of the walls. ...
figpos = [1000 500 800 400]; uif = uifigure(Position=figpos); ug = uigridlayout(uif,[1,2]); p1 = uipanel(ug); p2 = uipanel(ug); gx = geoaxes(p1,Basemap="satellite"); gg = geoglobe(p2); gx.InnerPosition = gx.OuterPosition; gg.Position = [0 0 1 1]; View Observatory...
Display grid lines by selectingOptions>Grid. Align new shapes to the grid lines by selectingOptions>Snap. Set the grid spacing forx-axis to-1.5:0.1:1.5and fory-axis to-1:0.1:1. To do this, selectOptions>Grid Spacing, clear theAutocheckboxes, and set the corresponding ranges. ...
In the MIMO imaging process, BPA uses an accumulation operation in each dimension to solve the reflectivity function by compensating the phase of each grid point in the target area. It is suitable for arbitrarily arranged arrays, but the computational cost is very high. In order to meet the ...