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MATLAB 的有限序列的离散傅里叶变换（DFT）源程序(MATLAB finite sequence of discrete Fourier transform (DFT) source)

C++ balagurswamy E-Book for new beginners in c++.

现代控制理论经典书籍，不得不看呀，最近发现还是以前的书写的好(Modern control theory classic book, had behold, recently discovered or writing a good previous)

说明：  对两组温度进行估计，并通过分布式卡尔曼滤波算法进行融合(Two sets of temperature are estimated and fused by distributed Kalman filter algorithm.)

本程序用于仿真LSCMA(最小二乘恒模)算法用于自适应波束形成时的波束方向图(This procedure for simulation LSCMA (least-squares constant modulus) algorithm for adaptive beamforming when the beam pattern)

说明：  信号的时间宽度和频率带宽反映的是 、 围绕 和 的扩展程度，信号的带宽（ ）完全由幅度、幅度的导数及相位的导数所决定。称T和B分别为信号 的时宽和带宽，TB称为时宽－带宽积,。此程序用于计算信号的时间宽度和频率带宽。(Signal time width and frequency bandwidth of reflected that and it spreads around the signal bandwidth () completely by the magnitude, amplitude and phase derivative of the derivative of the decision. Called T and B respectively when the signal width and bandwidth, TB is called when the wide- bandwidth product. This program is used to calculate the width of the signal time and frequency bandwidth.)

说明：  给出了通过MATLAB计算VaR的各种方法和实例(MATLAB code for Value-at-risk)

Matlab FFT 实现 时域频域转换

一种子空间跟踪PASTd经典算法MATLAB程序(A classic PASTd subspace tracking algorithm for MATLAB program)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)