Antenna-Design

Matlab code for ASPK demodulator. Please note that use 16 or 32 APSK and demodulate by amplitude first and phase after.

解决由八个线性矩阵不等式所约束的最小化问题。(Solving the minimiztion problem which is bound to eight linear matrix inequalities .)

qam16位离散牛顿法数字预失真程序，经过测试能够正确完成，效果良好。(qam16 discrete Newton method digital pre-distortion and tested correctly to good effect)

KLT变换对信号的相关性，可以很好去除信号、数据的相关性，减小数据传输量。可以很好的提高速率，在图像处理中也有很好的应用！(KLT transform, signal correlation can be good to remove the signal, the correlation of data, reduce data traffic. May well improve the speed in image processing applications are also very good!)

在Matlab环境中编制了以雨流计数法为理论基础的二维载荷谱程序,用以对混合动力电动车电机驱动系统载荷时间历程进行统计处理,得到载荷幅均值雨流矩阵,进行幅均值各自分布假设检验,以及独立性和相关性检验,获得二维联合分布概率密度函数,建立混合动力电动车电机驱动系统台架试验用二维载荷谱.(Prepared in Matlab environment of the rain flow counting method with the theoretical basis of the two-dimensional load spectrum procedure for hybrid electric vehicles on the motor drive system for statistical processing time course load, get a load amplitude mean rain flow matrix, be the mean amplitude of each distribution hypothesis testing, as well as independence and correlation test to obtain a two-dimensional probability density function of the joint distribution, the establishment of a hybrid electric vehicle motor drive system with two-dimensional bench load spectrum.)

结合状态空间和最小二乘估计算法对动态系统未知参数的辨识。(Combined state and least squares parameter estimation algorithms for dynamic systems)

本文 主 要 研究的是Gab。:小波神经网络算法及其在灰度图像目标识别 中的应用。研究涉及神经网络理论、小波分析理论和小波神经网络理论及其 它们在目标识别中的应用技术。(This paper is Gab. : Wavelet neural network algorithm and its gray-scale image recognition applications. Research involving neural network theory, wavelet analysis theory and wavelet neural network theory and their recognition in the target application technology.)

基本的拉格朗日乘子法(又称为拉格朗日乘数法)，就是求函数f(x1,x2,...)在g(x1,x2,...)=0的约束条件下的极值的方法。其主要思想是引入一个新的参数λ（即拉格朗日乘子），将约束条件函数与原函数联系到一起，使能配成与变量数量相等的等式方程，从而求出得到原函数极值的各个变量的解。 (Basic Lagrange multipliers (also known as Lagrange multiplier method), is of a function f (x1, x2 ,...) in g (x1, x2 ,...)= 0 constraints under the conditions of extreme value methods. The main idea is to introduce a new parameter λ (the Lagrange multiplier), the constraint function is linked together with the original function, so variables can be paired with an equal number of equations equation, thus obtained by the original function extreme solution of the various variables.)

说明：  TDFD,双脊金属加载矩形波导，的基模和第一个高阶模的色散曲线计算,TM模的仿真(TDFD,双脊metal loaded rectangular waveguide, the fundamental mode and first higher order mode dispersion curve calculation, TM-mode simulation)

New image point brightenss convolution of template with image