dct_cs

这是基于极限学习机 可用于分类或者回归分析 (This is based on matlab ultimate learning machine can be used for classification or regression analysis)

多自由度有阻尼系统的MATLAB求解代码，输入刚度，阻尼，平衡方程，自动计算结构阻尼频率和振型。(The MATLAB solution code of the damping system with multiple degrees of freedom is used to enter the stiffness, damping and equilibrium equations, and the damping frequency and vibration mode of the structure are automatically calculated.)

We will consider trajectories that lie in a plane passing through the center of the planet, so that we permit no out-of-plane forces in the following analyses. The general nature of the trajectory and the variables describing it are shown in Figure 3-1 below

matlab神经网路工具箱详细教程，通过matlab实现多种网络(Matlab neural network toolbox detailed tutorial)

PLOT RECEIVING END VOLTAGE (Vr/Vs) AS A FUNCTION OF (P/Po) FOR UNCOMPENSATED AS WELL AS L-C COMPENSATED LINES AT LOAD AT PARTICULAR LENGTH OF LINE. TAKE Ø = 0, 0.866 LAG & 0.866 LEAD AND LEGTH OF TRANSMISSION LINE 200 KM, 400 KM & 500 KM. EXPLAIN THE VOLTAGE VARIATION OF LINE.

MATLAB的LMS算法仿真程序，包括主程序和LMS功能函数实现以及仿真结果图(LMS algorithm simulation program of MATLA)

在过程控制中，按偏差的比例（P）、积分（I）和微分（D）进行控制的PID控制器（亦称PID调节器）是应用最为广泛的一种自动控制器。(In process control, according to the percentage of deviation (P), Integral (I) and differential (D) control of PID controller (also known as PID regulators) is the most widely used of an automatic controller.)

提出了一种递归方法，用来计算当室内反射光源视为Lambertian光源时，室内自由空间信道的冲击响应。(A recursive method for evaluating the impulse response of an indoor free-space optical channel with Lambertian reflectors.)

计算幅度熵的一个matlab程序,比较简单(calculated entropy of a range of Matlab procedures, relatively simple)

处理lasso regression。 使用stochastic Markov property。(Algorithm for solving the Lasso problem: 0.5* (y- X*beta) *(y- X*beta)+ lambda* ||beta||_1 where ||beta||_1 is the L_1 norm i.e., ||beta||_1 = sum(abs( beta )) We use the method proposed by Fu et. al based on single co-ordinate descent. For more details see GP s notes or the following paper: Penalized Regressions: The Bridge Versus the Lasso Wenjiang J. FU, Journal of Computational and Graphical Statistics, Volume 7, Number 3, Pages 397?416, 1998 )