ieee_tx11n

License Plate Recognition Image Processing in matlab

Decide how to manage your data

Ant Colony Optimization (ACO) is an optimization metaheuristic based on the foraging behavior of ants. This metaheuristic was originally proposed to find good solutions to discrete combinatorial problems. Many extensions of the ACO heuristic for continuous domain have been proposed, but even those that claim close similarity with classical (discrete domain) ACO, like ACOR, do not use the heuristic information called visibility, commonly used in the original ACO algorithm. In this paper, we show the importance of the visibility in ACO, by proposing ACOℝ -V , a variant of ACOR that performs better in a number of benchmark functions.

The code can be used for calculating the element stiffness matrix of a q-4

MATLAB2013超级教程，包含matlab的各种功能使用方法，适合初学者(MATLAB2013 super tutorials, contains a variety of functions to use matlab for beginners)

a matlab project having complete conventional algorithms

Hann,Hamming,Blackman-Harris加窗波束形成方法的波束方向图比较。(Comparing of Hann,Hamming,Blackman-Harris weighting beamforming.)

模糊变换与模糊综合评价中，需要进行归一化处理，即各项之和除以每一项。以下为算子的matlab函数(Fuzzy transform and fuzzy comprehensive evaluation, the need for the normalization process, and that all of dividing the sum of each item. The following is the operator matlab function)

对目标轨迹数据加噪声，设置雷达经纬度，提取雷达可视部分(Add noise to target track data, set radar latitude and longitude, extract radar visible part)

M序列和Gold序列的性能比较matlab程序。(M sequences and Gold sequences matlab performance comparison procedures.)