Radar-signal-processing

说明：  本文件是一个对车牌号码进行识别的程序加上一些代码，图片希望对大家有帮助(vihicles distingguish)

说明：  此程序为，布谷鸟搜索算法优化小波神经网络，适合初学者，看一下就明白。(This program is, cuckoo search algorithm optimization neural network, suitable for beginners, look at it to understand.)

说明：  matlab均值粒子群算法源程序，个人编写，得到满意的结果，老师说不错(Mean particle swarm algorithm matlab source code, personal preparation, with satisfactory results, the teacher is quite good)

MATLAB CODE FOR EDGE PRESERVING

THIS IS IEEE TEST BUS SYSTEM

使用MATLAB对MIMO系统进行辨识，其中有各种算法仿真算例，N4SID，针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)

Matlab code for prony method

在正方形区域内产生均匀分布的随机拓扑,红色信标节点 . 黑色未知节点,初始化节点间距离,跳数矩阵,最短路径算法计算节点间跳数,球每个信标节点的校正值,最小二乘法求未知点坐标(Generate uniformly distributed random topology in the square area, red beacon nodes. Black unknown nodes, the distance between node initialization, hop count matrix, the shortest path algorithm for computing nodes hops, a correction value of a ball each beacon node, the least square method for the coordinates of unknown points )

杜达的《模式分类》第二版的配套的Matlab源代码(Duda' s " pattern classification," the second edition of the complete source code of the Matlab)

Matlab人工智能学习包，由世界领先的德国马普所制作(The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of Matlab for machine learning research.)