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对AR（4）模型的经典功率谱估计，并与真实功率谱作比较。采用了welch方法，协方差法，burg方法(For AR (4) model of the classic power spectrum estimation, and with true power spectrum for comparison. Welch method using covariance method, burg method)

该matlab代码描写的是波束成形算法中的Capon算法的具体实现(The matlab code describing the concrete implementation of the Capon beamforming algorithm algorithm)

matlab中GUI的使用说明，有使用的实例说明，适合初步入门GUI的人使用(description of the matlab GUI-use, use examples, a GUI for initial entry)

本书是The IMA Volumes in Mathematics and its Applications系列的一本，由Springer-Verlag发表，用于交流每年数学规划算法方面的新成果，希望对于广泛的科学团体有帮助。 许多工程，运筹，和科学应用包括离散或连续的决策变量，以及这些决策变量的非线性关系。这种 Mixed-integer nonlinear programming （MINLP，混合整数非线性规划），兼具来自非线性问题的非凸函数优化，以及来自整数的离散优化，这两方面的挑战。这种问题是优化问题里面建模最灵活的类型之一，但是因为它范围极广，在最一般的情况下，它是几乎无法解的。然而，日渐壮大的研究者和程序员队伍，包括化学工程，运筹研究者，工业工程师，机械工程师，经济学家，统计学家，计算机科学家，运营经理，和数学程序员，都对求解大规模MINLP问题产生兴趣。(Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners ― including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers ― are interested in solving large-scale MINLP instances.)

说明：  探究粒子群算法对电机的估计，具有重要意义。(It is important to explore the estimation of the motor by particle swarm.)

NN book tamrin 61 in faez

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

基于IEC61131—3标准的连续定位运动模块MC—PositionProfile，可以使用户方便的定义几点，然 后实现加速度平滑变化的运动。虽然其保证了加速度的平滑过渡，但没有考虑轴会发生反转，本文讨论的是 在保证加速度变化平滑的基础上实现轴的单向运动。(IEC61131-3 standard based on the continuous positioning movement module MC-PositionProfile, allows the user to easily define points, and then change to achieve smooth acceleration of the movement. Although its acceleration to ensure a smooth transition, but did not consider the axis will be reversed, this discussion is to ensure the smooth acceleration on the basis of changes in one-way movement axis.)

说明：  模糊聚类程序，完成！matlab7.0调试通过，内含测试程序及数据！欢迎交流！(Fuzzy clustering procedure, done! matlab7.0 through debugging, testing procedures and data contained! Welcome to exchange!)

基于有限元的矩形短边双脊波导的传输特性matlab代码包括衰减系数，单模带宽，截止波长功率容量等(Based on the short side of the rectangular finite element double-ridged waveguide transmission characteristics include attenuation coefficient matlab code, single-mode bandwidth cutoff wavelength power capacity, etc.)