dvr

数值方法计算传热问题实例 边长为200×200mm的二维矩形材料内的稳态温度分布。上侧和左侧维持恒壁温；下侧为绝热；右侧为对流换热条件。具体参数为： 材料的导热系数=20w/m• k； 上侧温度t1=100℃ 右侧流体温度tf=20℃ 表面传热系数 h分别为1w/m2• k和100 w/m2• k 左侧温度t2=20℃ 下侧绝热(Numerical method to calculate the heat transfer problem instance side of 200 × 200mm rectangular two-dimensional steady-state temperature distribution within the material. On the left side and to maintain constant wall temperature lower side of insulation the right side of the convective heat transfer conditions. Specific parameters are: thermal conductivity of the material = 20w/m • k on the side of the temperature t1 = 100 ℃ right side of the fluid temperature tf = 20 ℃ surface heat transfer coefficient h were 1w/m2 • k and 100 w/m2 • k temperature t2 = 20 ℃ left side of the insulation under)

干扰对齐的迭代算法的Matlab实现，该算法最早由UT Austin的Heath教授提出。(Alternative minimization for Interference Alignment)

说明：  虚拟信号发生器是一个GUI产生（1）周期函数（包括正弦，三角，锯齿，和方波）不同振幅，频率和阶段 （2）不同振幅平方脉冲序列，频率，分期及职责循环 （3）双参数指数函数 （4）高斯曲线之间的范围不同，标准偏差和手段，以及（5）不同幅度的高斯噪声。你也可以添加一个偏移或高斯噪声的前四个以上任何职能。图形用户界面还能使用户可以添加指定的信号（或者乘以它的）一个先前定义的信号。 (Virtual Signal Generator is a GUI that produces (1) periodic functions (including sinusoidal, triangle, sawtooth, and square waves) of varying amplitudes, frequencies, and phases (2) square pulse trains of varying amplitudes, frequencies, phases, and duty cycles (3) two-parameter exponential functions (4) Gaussian curves of varying bounded areas, standard deviations, and means and (5) Gaussian noise of varying amplitude. One can also add an offset or Gaussian noise to any of the first four functions above. The GUI also enables the user to add the designated signal to (or multiply it by) a previously defined signal. )

说明：  matlab源码实现记忆多项式模型的功放建模(Memory polynomial model power amplifier )

calculation of transformator parameters by Mfile in Matalb software (power engineering field)

This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.

This contains various research papers

PID Controller Design and Tuning with MATLAB and Simulink(This demo file shows new capabilities for PID Controller design and tuning in MATLAB and Simullink)

人脸识别 PCA和SVM 人脸识别算法，人脸库pgm文件(This fold is a PCA and SVM face recoginise)

基于小波变换的信号降噪，可以用来进行数据处理后的小波降噪(Substitution Small - wave conversion signal damping, available For further use Number processing Opinion Small wave noise)