AsynchronizeItemsBinding

MATLAB操作基础,讲述了MATLAB的基本功能(MATLAB operating basis, about the basic functions of MATLAB)

this metal detector full project (pulse induction)

通过模板标定，计算极线约束，验证空间点坐标的误差(Calibration template for calculating epipolar constraint to verify the coordinates of space point error)

考察了在不同信噪比情况下，信息论准则和盖氏圆准则估计信号源数目的正确率(The correct rate of the SNR, the information criterion and Gerschgorin criterion estimated the number of source)

北工商Matlab课件，对初学者很有用；用Matlab解方程的程序源代码以及有限差分方程源代码，希望对学习Matlab的小朋友有帮助(North Business Matlab courseware, useful for beginners with Matlab equations for the source code and the finite difference equation is the code, hope to help children learn Matlab)

16QAM调制解调，不用系统自带命令，完全按照调制解调系统进行。(16QAM modulation and demodulation, without the system comes with command, in full accordance with modulation and demodulation system.)

information theory n coding

用Bessel方程展开计算有限电流源向外辐射的电场和磁场，输出较全的电磁学参数。(Computation of Bessel equation with limited current source radiating electric and magnetic fields, output over the entire electromagnetic parameters.)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。 BP（Back Propagation）神经网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hidden layer)和输出层(output layer)。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm. BP (Back Propagation) neural network is a 1986 team of scientists headed by Rumelhart and McC)

二维核磁共振最新资料，欢迎交流，共同进步！(Laboratory and Field Evaluation of an Inelastic Neutron Scattering and Capture Gamma Ray Spectrometry Tool)