MFXLMS3

说明：  滑膜变结构控制的matlab仿真程序,学习滑膜变结构控制的基础。(Variable structure control synovial matlab simulation program, learning the basis of variable structure control synovium.)

已知方差的高斯随机信号的序贯检测：给出了H0和H1假设下理论推导得到的序贯检测平均样本数的曲线，以及仿真得到的序贯检测平均样本数的曲线，理论结果和仿真结果较为吻合。(Sequential detection of known variance Gaussian random signals: H0 and H1 are given under the assumption that the theoretical derivation curve sequential detect the average number of samples obtained, and curve sequential simulation to detect the average number of samples obtained theoretical results and simulation The results are more consistent.)

包含实例的MATLAB 克里金插值程序，注释清楚，方便移植(Contains examples of MATLAB kriging interpolation, comments clear, convenient transplantation)

说明：  光伏阵列最大功率跟踪系统（光伏电池模型+扰动观察法+BOOST电路）simulink仿真系统。((PV system to achieve maximum power tracking via a boosconverters, and the control method is perturbation and observation))

牛顿迭代的实时仿真，根据编程可实现迭代，很多次的迭代(Newton iteration of real-time simulation, according to the programming iteration, iteration can be realized many times)

caculates the ber for CBPSK, DPSK, and Coherent GMSK for fading and no fading usinganalytical means.

MATLAB语言在微分方程中的运用。。。。。。。。。。。(MATLAB language in the use of differential equations. . . . . . . . . . .)

普通PID控制及其扩展算法控制的MATALB仿真程序，内容包含面广．(ordinary PID control algorithm and its expansion of enriching control simulation program, which includes many sectors.)

用于求解汽车路径寻求问题的单亲遗传算法，(patheno-genetic algorithm for vehicle routing problem)

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )