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factorization of a matrix by householder

FCM实现，FCM中的可以用在模糊聚类的图像分割当中(FCM)

说明：  升压转换器是一种DC / DC电源转换器，可将电压从其输入（源）升至其输出（负载）。在连续导通模式下（流经电感的电流永远不会降为零），升压转换器的理论传递函数为： 占空比在哪里0.5 在此示例中，转换器从250 V电源馈送RC负载，并且PWM频率设置为31 kHz。 模拟 运行仿真并观察示波器上的波形。确认负载电压（Vout）的平均值非常接近理论值：Vout = 250 /（1- 0.5）= 500V。(A boost converter is a DC/DC power converter which steps up voltage from its input (source) to its output (load). In continuous conduction mode (current through the inductor never falls to zero), the theoretical transfer function of the boost converter is: where is the duty cycle.0.5 In this example, the converter is feeding an RC load from a 250 V source and the PWM frequency is set to 31 kHz. Simulation Run the simulation and observe waveforms on Scope. Verify that the mean value of the load voltage (Vout) is very close to the theoretical value of: Vout = 250 / (1 - 0.5) = 500 V.)

This document is about zsource multilevel inverter.

建模大赛城市表层土壤重金属污染分析试题图形与函数绘制(Modeling Contest heavy metal pollution of urban topsoil graphics and function draws questions)

例1 采用动量梯度下降算法训练 BP 网络。 例2 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Example 1 uses the momentum gradient descent algorithm to train the BP network. Example 2 uses the Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, the LM optimization algorithm (trainlm) and the Bayesian regularization algorithm (trainbr), to train the BP network to fit a sine sample with white noise data. )

交互式方针工具,研究用于线性盲信道均衡的CMA算法,Matlab程序(The BERGulator is a MATLAB5-based interactive simulation tool aimed at studying the behavior of the Constant Modulus Algorithm (CMA) when used for direct blind linear channel equalization. )

MULTILETARION FOR TRACKING

计算加权加速度,单径或多径瑞利衰落信道仿真，Relief计算分类权重，详细画出了时域和频域的相关图，isodata 迭代自组织的数据分析，用MATLAB实现的压缩传感，包括最小二乘法、SVM、神经网络、1_k近邻法,仿真效果非常好。( Weighted acceleration, Single path or multipath Rayleigh fading channel simulation, Relief computing classification weight, Correlation diagram shown in detail the time domain and frequency domain, Isodata iterative self-organizing data analysis, Using MATLAB compressed sensing, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Simulation of the effect is very good.)

自己做的识别MATLAB源码 自己做的识别MATLAB源码(Identification of own-source MATLAB)