Jawa_bali_power_system_load_flow

说明：  本程序实现对多进制PSK数字调制系统的仿真。程序运行需要几分钟，请耐心等待(this program right M-ary PSK modulation system simulation. Procedures required for the operation of a few minutes, please wait patiently)

说明：  图4.7给出了V=4，相位集合的相位数分别为P=1、2、4、8时的随机分割的PTS-OFDM系统的CCDF的性能图。仿真参数：分割方法为随机分割，子载波数N=128，子载波数据采用QPSK调制，仿真的OFDM符号数为1000个。(Figure 4.7 shows the V = 4, the phase of the collection phase, respectively P = 1,2,4,8 were separated when the PTS-OFDM system performance CCDF graph. Simulation parameters: Segmentation of random division, the number of subcarriers N = 128, sub-carrier data using QPSK modulation, simulation of the OFDM symbol number 1000.)

An effective implicit time integration scheme was proposed for the fi nite element solution of nonlinear problems in structural dynamics. Various important attributes were demonstrated. In particular, it was shown that the scheme remains stable, without the use of adjustable parameters, when the commonly used trapezoidal rule results in unstable solutions. In this paper we focus on additional important attributes of the scheme, and specifi cally on showing that the procedure can also be effective in linear analyses. We give, in comparison to other methods, the spectral radius, period elongation, and amplitude decay of the scheme and study the solution of a simple ‘model problem’ with a very fl exible and stiff response.

反距离权重插值算法的matlab实现，简单易懂的算法(IDW interpolation algorithm matlab realize, straightforward algorithm)

MATLAB智能算法30个案例分析_源代码(30 case studies of the MATLAB intelligent algorithm source code,)

matlab实现单尺度retinex算法，实现图像增强。(matlab achieve a single scale retinex algorithms for image enhancement.)

本代码主要实现非线性环境下的势均衡多目标多伯努利滤波器的ukf实现，能有效地解决杂波环境下的多目标跟踪问题。(This code mainly realize the potential of nonlinear environment balanced multi-objective multi-bonuli filter ukf achieve, can effectively solve the problem of multi-target tracking clutter environments.)

THIS BOOK FOR OBJECT ORIENTED SOFTWARE ENGINEERING

高斯k均值程序算法，k-means是一种常用的聚类算法，可以实现数据的聚类。(K-means algorithm for Gaussian process, k-means clustering algorithm is a commonly used, can achieve data clustering.)

Implementation of ARMA Proess of sample data.