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基于最小方差准则（LMS）的自适应波束形成算法，matlab语言仿真示例(Based on the criteria of minimum variance adaptive beamforming algorithm)

基于二阶统计量与四阶通计量的时延估计算法。(Delay estimation algorithm with second-order and fourth-order statistics.)

说明：  一个粒子群算法、遗传算法优化RBF径向基神经网络源代码,可直接使用。(A particle swarm optimization, genetic algorithm optimization RBF Radial Basis Function neural network source code, can be used directly.)

please give me a code for this ieee paper

matlab code for high pass filter

说明：  这个是关于neural fuzzy 算法的工具箱, 有例子程序, 请您用winzip解压缩(is on the neural fuzzy algorithm toolbox, there are examples of procedures, please use winzip decompress)

说明：  数字通信QAM调制及其MATLAB仿真程序，实现了QAM调制的基本性能(This is Digital communication QAM modulation and MATLAB simulation program ,and realize the basic performance of QAM modulation.)

用matlab，根据要求输出特定的pattern，作为相机标定用(Using matlab, according to the specific requirements of the output pattern, as the camera calibration with)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

基于格-梯型结构的RLS算法,结合格型滤波器阶数可调与横型滤波器时间可调的特性，设计出阶数和时间分别递推的自适应滤波器，使得平方误差最小.(Based on the lattice- ladder structure of the RLS algorithm, combined with the lattice filter order of adjustable features adjustable cross-type filter time, recursive adaptive filter design order and time, so that the minimum squared error.)