Caesar-cipher-encryption-decryption

a design methodology is introduced that blends the classical PID and the fuzzy controllers in an intelligent way and thus a new intelligent hybrid controller has been achieved. Basically, in this design methodology, the classical PID and fuzzy controller have been combined by a blending mechanism that depends on a certain function of actuating error. Moreover, an intelligent switching scheme is induced on the blending mechanism that makes a decision upon the priority of the two controller parts namely, the classical PID and the fuzzy constituents. The simulations done on various processes using the new hybrid fuzzy PID controller provides ‘better’ system responses in terms of transient and steady-state performances when compared to the pure classical PID or the pure fuzzy controller applications. The controller parameters are all tuned by the aid of genetic search algorithm.

利用重复轨道卫星数据计算轨道之间的基线（即空间距离）实现数据获取时间内任意位置的基线长度，并存入文件中。(Repeat orbit satellites using data between tracks baseline (i.e. spatial distance) for data acquisition time of the baseline length anywhere within and into a file.)

MATLAB R2014a crack serial download

说明：  用 MATLAB实现的MP算法 很简单而且有中文的说明 以往初学者好好看看(MP algorithm is implemented using MATLAB is very simple and the instructions in Chinese for beginners a good look at the past)

通过对主从系统的数学建模并利用matlab随机试验模拟，研究主从多机通信系统的可靠性，以及采用不同措施预防和解决故障的可行性和统计规律。包括实验报告和源代码( Though the mathematical modeling of the master-slave system and the random experiment with Matlab, we tried to research about the reliability of the system with or without different methods to prevent and solve the failure of the system, therefore we find some statistical regularity. )

说明：  这是黑龙江大学自控理论专业同学在最优估计课程当中用matlab编写的gw算法!(This is the theory of controlled Heilongjiang University students in professional courses optimal estimate prepared by using Matlab algorithms gw!)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

说明：  一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道(A relatively complete OFDM communication system simulation design, including coding, modulation, IFFT, up and down conversion, Gaussian channel)

maltlab 课程的经典示例是英文原著Matlab programming for engineers 的示例(maltlab course the classic example is the English original Matlab programming for engineers of the sample)

Some matlab functions explaining basic operations