paiqan_v57

detect shapes using properties of region props

对高斯序列x=exp((n-p)^2/q)时域和频域特性观察，观察p，q分别取不同值时对其特性的影响，观测泄露和混叠现象(When the time domain and frequency domain characteristics observed Gaussian sequence x = exp ((np) ^ 2/q), observed p, q, respectively, for different values on its characteristics, observed leakage and aliasing)

《MATLAB神经网络30个案例分析》中的第6个例子，案例6 PID神经元网络解耦控制算法_多变量系统控制。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 6 examples, case 6 _ multi-variable PID neural network decoupling control algorithm control system. Hope to have certain help to everybody! )

说明：  uwb信道仿真程序，包括多种算法(UWB channel simulation program, including a variety of algorithms.)

说明：  交叉口matlab实现，本程序可以较好的实现交叉口的模拟，请放心使用(Intersection matlab implementation, the program can achieve a better simulation of the intersection, please be assured use)

hough变换，matlab编程。Hough变换是一种使用表决原理的参数估计技术。其原理是利用图像空间和Hough参数空间的点－线对偶性，把图像空间中的检测问题转换到参数空间。通过在参数空间里进行简单的累加统计，然后在Hough参数空间寻找累加器峰值的方法检测直线。(hough transform, matlab programming. Hough transform is a vote on the principle of using a parameter estimation techniques. The principle is the point of the image space using the Hough parameter space and line- duality converting the detection problem in the image space to the parameter space. By a simple statistical accumulated in the parameter space, and then in the Hough parameter space to find a method of detecting the peak accumulator line.)

仅通过动量效应筛选期货品种，从而构建期货多品种对冲策略(M effect for Multi-futures stratege)

一种混沌吸引子的演示程序，非常适合初学者研究和使用。 (A chaotic attractor of the demo program is very suitable for beginners to study and use.)

前后向平滑， music 主要包含经典music算法实现原理及其代码，然后在此基础上介绍了前后向平滑算法的实现及其代码和仿真结果(forward/backward spatial smoothing，MUSIC Consists mainly of classical music algorithm theory and its code, and then on this basis introduced before and after smoothing algorithm and code and simulation results)

说明：  This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multiobjective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and foraging in oceans. These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems.