hua_mean2

morphological operation in matlab

用汉宁窗函数法设计一个数字FIR高通滤波器，要求通带边界频率为500Hz，阻带边界频率为400Hz，通带最大衰减1dB，阻带最小衰减40dB，抽样频率为2000Hz，用MATLAB画出幅频特性，画出并分析滤波器传输函数的零极点(With han ning window function method to design a digital FIR high-pass filter, request bandpass boundary frequency for 500 Hz, stop-band boundary frequency for 400 Hz, bandpass biggest 1 dB attenuation, stop-band attenuation least 40 dB, sampling frequency for 2000 Hz, MATLAB draw the amplitude frequency characteristics, painted and analysis filter transmission function of zero poles)

国外matlab，时间转换程序，层次清晰，有源代码，也有界面( Foreign matlab, time conversion process, the level of clarity, source code, there are interface)

详细且一目了然的RS编译码matlab仿真程序。 包括GF(Q)域的各种运算（每种运算一个函数功能文件），RS编码模块及译码模块。 期中译码模块又分为伴随式计算模块，错误位置多项式计算模块，错误位置计算模块，错误数值计算模块。 还包含了专门用于测试每个模块是否正确的testbache。完整，详细，正确(Detailed and clear RS codec matlab simulation program. Including the GF (Q) domain of a variety of computing (computing a function of each functional document), RS coding and decoding module module. During the decoding module is divided into modules with computing, error location polynomial calculation module, the error location calculation module, module numerical error. Also includes a special module for testing the validity of each testbache. Complete, detailed and correct)

说明：  本文介绍了模拟退火算法的原理和求解方法,并将其用于指数曲线的拟合,在Matlab语言环境下实现了该算法,并且与文献中的遗传算法、线性回归相比较。数值模拟结果表明,该算法能更好地实现最优拟合。(This article describes the principle of simulated annealing algorithm and solution methods, and used an exponential curve fitting, the language environment in Matlab implementation of the algorithm and the genetic algorithm with the literature, linear regression comparison. Numerical simulation results show that the algorithm can better achieve the optimal fit.)

SAR 仿真程序,包含基础知识介绍,信号模型,回波仿真等(SAR simulater)

可以进行信道估计,准确得到信道的冲激响应，比普通的LS算法性能较好。(evaluate the pulse response of channal)

应用matlab设计D触发器型的锁相环的设计的程序并对相位很频率进行性能图形比较(matlab desire Dpll)

基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 (Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data samples 2, using the C++ or Matlab programming environment to realize the algorithm, and with a given data packet to the algorithm correctness testing )

MATLAB 的 C++ 数学库 使用手册 英文版(MATLAB for C++ Math Library User' s Guide English)