lifegame

关于MIMO-OFDM的调制技术，在个参数设置情况下的MMSE VBLAST仿真(about MIMO-OFDM)

说明：  已经编好的关于函数逼近的常用MATLAB 算法(Approximation)

该程序为matlab程序，共有三个文件，dataC.m为程序入口，实现功能对50组数据用k均值算法进行分类，再对40组数据用感知器算法训练，然后用训练得到的判别函数对剩下10组数据分类，最后与原始分类做差比较，若分类无误，则全显示为0.(Matlab program on the program, a total of three files dataC.m for program entry features 50 sets of data with k-means algorithm to classify 40 sets of data with the training of the perceptron algorithm, and then using the trained discriminant function The remaining 10 sets of data classification, and finally with the original classification poor comparison, if the classification is correct, then the whole show.)

This paper presents a method for estimating the spectra of water wave disturbances onfive of the six axes of a stationary, slender body underwater vehicle in an inertia dominated waveforce regime, both in head seas and in beam seas. Inertia dominated wave forces are typical ofthose encountered by a 21 inch diameter, torpedo shaped underwater vehicle operating in coastalwaters and sea state

方程求根的是抛物线法则，写的不好。仅供参考(Roots of the equation is parabolic law, badly written. Reference)

neural network algorithm, BP method

用matlab编的，傅里叶级数变换和拉普拉斯变换的代码(Fourier series transform and Laplace transform code)

说明：  用matlab实现的K2算法，需要用到贝叶斯网络工具箱(K2 algorithm implemented with matlab)

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):

Matlab code for pressure drop in porous media.