cordic_division

动态矩阵控制DMC的一个很好的matlab程序,可以应用到很多的领域(a program of dynamic matrix conrol using matlab)

现代谱估计的很好的参考资料，我看了 受益匪浅，你可以(modern spectral estimation a good reference, I read benefited from, you can s)

BER for BPSK modulation in a Rayleigh fading channel with Alamouti Space Time Block Coding ,Two transmit antenna, Two Receive antenna

N-Point FFT using fixed-point toolbox of MATLAB

应用MPC算法对DC-DC变换器模型进行控制，加入了干扰观测器环节，效果更佳优异 包含两个文件，ddc.mdl为系统仿真图，mpccontroller.m为控制算法(Applying MPC algorithm to control the DC-DC converter model, adding the disturbance observer, the effect is better. Contains two files, ddc.mdl for the system simulation diagram, mpccontroller.m for the control algorithm)

说明：  The concerns for environment due the ever increasing use of fossil fuels and rapid depletion of this resource have led to the development of alternative source of energy such as solar energy. This paper proposes that how to increase the efficiency of a solar PV energy system by the advancement in conventional DC to DC Boost converter. This paper also proposes the study of open loop systems with elevated step-up conversion and step amplify in input voltage. An improved DC to DC boost converter is modeled and simulated using MATLAB. This improved boost converter provides the constant output voltage irrespective of the variable output voltage. The simulation results of this system are presented and compared. The result of the improved boost converter is also compared with the conventional boost converter. This result verifies that with the minimum number of components the proposed improved boost converter system has the advantages of high efficiency.

系统同步的matlab程序，载波同步，符号同步，帧同步(Synchronization of the matlab program, carrier synchronization, symbol synchronization, frame synchronization)

Fast Hankel Transform Algorithm (Fast Hankel Transform Algorithm)

data escurity source code in matlab by 7ala at 2011 - 1432

一个matlab程序，有关已知方差的高斯分布的均值贝叶斯学习方法。详见程序内说明。(a Matlab procedures, the known variance of the Gaussian distribution of the mean Bayesian learning methods. See Note procedures.)