bruxRD2D2

UTV工具包提供46个Matlab函数，用于计算和修改秩显URV和UTV分解,总称为UTV分解． (UTV Toolkit provides 46 Matlab function, used to calculate and modify the rank significantly URV and UTV decomposition, with a total known as UTV decomposition.)

压缩文件中给出了已知系统传递函数及输入信号的情况下，求解系统输出响应的四种方法，即差分方程法，卷积法，DFT法以及滤波器设计方法；此外还包含创建窗及其频率响应的matlab设计。(Known compressed file system transfer function is given and the case of the input signal, the output response of the system to solve the four methods, namely the differential equation method, convolution, DFT method and the filter design methods Also included creating windows and its frequency response matlab design.)

遗传算法应用于内模控制，被控对象为一阶系统，进行拟合！经过实验认证！(Genetic algorithm is applied to internal model control, the controlled object is a first-order system, fitting! Through experiments certification!)

rbfnn算法用于长期预测，效果较好。rbfnn算法用于长期预测，效果较好。(rbfnn algorithm for long-term projections, the effect is better. rbfnn algorithm for long-term projections, the effect is better.)

MIMO多天线系统仿真程序，分别仿真比较了 AWGN信道 , SISO瑞利衰落信道 , 2发1收Alamouti方案 , 2发2收Alamouti方案 (MIMO multi-antenna system simulation program, were simulated and compared the AWGN channel , SISO Rayleigh fading channels , two fat a close Alamouti scheme , two 2 admission Alamouti scheme )

谐波叠加法模拟随机风载荷，matlab写的程序，采用三角级数模拟时程风载荷(Superposition of harmonic pseudo random wind loads, matlab written procedures, when using trigonometric series simulate the way the wind load)

主要描述Matlab优化实例。主要包括线性规划问题、foptions函数、非线性规划问题、“半无限”有约束的多元函数最优解、极小化极大（Minmax）问题、多目标规划问题、最小二乘最优问题和非线性方程(组)求解。 (The main description Matlab optimization instance. Mainly include linear programming problem, function foptions, nonlinear programming problem, " a semi-infinite constrained multi-function optimal solution, minimization great (MinMax), a multi-objective programming problems, least squares optimization problem and non- linear equation (group) to solve.)

虹膜识别最大熵值法的图像二值化,这有助于对图像二值化时选择门限(hong mo zui da shang zhi er zhi hua )

this code will help you to Compute a discrete-time transfer function to approximate a distributed LPF

finding global minimum of a function with SA algorithm