Simulation

全书包含 390多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的 MATLAB环境中 完全准确地重现本书所提供的算例结果。算例的举一反三，将使读者很快掌握要领，从模仿走向灵活应用(The book contains over 390 examples of the calculation. All examples of the program is reliable and complete. Readers in their own MATLAB environment, completely and accurately reproduce the book provided by the numerical results. Example of the lesson should be learned, will enable readers to quickly grasp the essentials, from imitation toward flexible application of)

主成分分析法在数学建模中的应用 使用主成分分析法的matlab 编程(Principal component analysis in mathematical modeling using principal component analysis method matlab programming)

FISTA 压缩感知的图像使用快速迭代shrinkage-thresholding算法(小波sparsifying转换 傅氏域抽样磁共振成像和氡转换断层测量)( FISTA compression perception of image using fast iterative shrinkage- thresholding algorithm (magnetic resonance imaging (fmri) wavelet sparsifying transform fourier-domain sampling and measuring radon transform fault) )

汽车仿真关于汽车经济性的源代码，很不错的资料。(car )

Video frame extraction & separating unwanted part of each frame

遗传算法的实现，是计算数学中用于解决最佳化的搜索算法,是进化算法的一种(Genetic algorithm, computational mathematics used to solve optimization search algorithm, an evolutionary algorithm)

choudhury教授的关于阀门粘滞模型的Matlab/Simulink 模型，绝对真实，本人亲自运行成功。(A valve stiction model of professor Choudhury. )

使用MATLAB仿真ask信号，并画出眼图，使用窗函数对数据进行功率谱计算，并画图(Use the data window function power spectrum calculation, and drawing)

现代信号处理中谱估计在matlab中的使用，tuhrzmX参数单径或多径瑞利衰落信道仿真，双向PCS控制仿真，BP神经网络用于函数拟合与模式识别，hCxHWym条件包括主成分分析、因子分析、贝叶斯分析，使用混沌与分形分析的例程。( Modern signal processing used in the spectral estimation in matlab, tuhrzmX parameter Single path or multipath Rayleigh fading channel simulation, Two-way PCS control simulation, BP neural network function fitting and pattern recognition, hCxHWym condition Including principal component analysis, factor analysis, Bayesian analysis, Use Chaos and fractal analysis routines.)

fmincon finds a constrained minimum of a function of several variables. fmincon attempts to solve problems of the form: min F(X) subject to: A*X <= B, Aeq*X = Beq (linear constraints) X C(X) <= 0, Ceq(X) = 0 (nonlinear constraints) LB <= X <= UB (bounds)