An-Introduction-to-Computational-Fluid-Dynamics-H

muller法, 可以對方程式求數值解 muller method and newton method(muller method)

此程序是LMS算法实现的一个自适应均衡器,均衡器选取的信道抽头数是11。(the program is adaptive equalizer using Lms to achieve.the channel tap is 11.)

一种用Newton-Rapson Method来计算能量的Matlab code(Newton-Rapson Method to determine the slack bus power( 3 buses)/)

说明：  用于进行数据预测，即使数据点较少，预测的结果也比较好，适用于时间序列上的建模(It is used for data prediction, even if there are fewer data points, the predicted results are better, and it is suitable for modeling on time series)

这是Simulink关于数据转换仿真模型。希望对初学者有用(This is the Simulink simulation model about the data transformation. Hope useful for beginners )

四个matlab程序，通过四种方式，分别对向量、图像的汉明编解码进行了研究。并附上试验结果。(Matlab four procedures in four ways, namely, on the vector, image codec Hamming studied. With the test results.)

用Burg法进行功率谱预测的函数，对信号建立AR模型递推估计(Burg method with projected power spectrum function, the signal is estimated that the establishment of recursive AR model)

This simple source codes describe the implementation of cognitive radio

说明：  The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

PCA主成分分析用于人脸识别，提取特征值特征向量。有ORL人脸库。(PCA principal component analysis for face recognition, extraction Eigenvalue eigenvector. Have ORL face database.)