linear304

matlab 最优化算法matlab 最优化算法matlab 最优化算法matlab 最优化算法(matlab zuiyouhuasuanf a)

说明：  实验目的：对带通信号及其低通等效信号进行分析和仿真。 实验内容： 1、参考教材P24面例子，考虑如下带通信号，编写仿真程序实现，得出仿真结果。 （1） 画出该信号和它的幅度谱； （2） 求出该信号的解析信号，并画出它的幅度谱； （3） 求出并画出该信号的包络； （4） 分别假设 和 ，求该信号的低通等效，并画出它的幅度谱。 2、设带通信号为： 通过Matlab编程仿真实现： （1） 画出该信号和他的谱函数（包括幅度和相位） （2） 确定并画出解析信号的谱函数（包括幅度和相位） （3） 画出该信号的包络。 （步骤一，二中，设采样间隔为ts=0.002s）。 (Purpose: To Bandpass and lowpass equivalent signal analysis and simulation. Experiment: 1, reference materials P24 plane example, consider the following bandpass signals, writing simulation program implementation, simulation results obtained. (1) Draw the signal and its amplitude spectrum (2) Find the analytical signal of the signal, and plot its amplitude spectrum (3) Find and draw the envelope of the signal and (4) respectively assumptions and seeking the equivalent lowpass signal and draw its amplitude spectrum. 2, is provided with a communication number: Simulation by Matlab programming: (1) Draw the signal and his spectral function (including amplitude and phase) (2) to identify and draw the analytic signal spectral function (including amplitude and phase) (3) Draw the envelope of the signal. (Step one, two, and set the sampling interval ts = 0.002s).)

这是基于MATLAB环境的fisher分类判别的源代码，适合于统计专业人士参考(This is the fisher-based MATLAB environment, classification and discrimination of the source code, suitable for professional reference statistics)

根据黑洞理论，提出的黑洞模拟算法，并进行标准测试函数优化，优化结果由于现有算法(According to the black hole theory, the black hole simulation algorithm is proposed, and the standard test function optimization is carried out.)

MATLAB 的简单程序，初学MATLAB者可以看看，对学习它的使用方法很有效(MATLAB a simple procedure, MATLAB beginner can look at learning to use it very effective)

齐次坐标变换有很多形式，本程序证明采用不同形式时对应的转换矩阵不同(homogeneous coordinate transformation)

FHSS transmitter and receiver in matlab

matlab实现spase 优化，效果很是不错，算法也简洁(matlab to achieve spase optimization)

说明：  该函数用于用于拉格朗日插值的展开及其误差估计(matlab function for lagrane)

曲线模型的半自适应交互多模型跟踪方法 我存的一篇论文，拿来与大家共享(When using interactive multiple model (IMM) to track targets,to select smallermodel set to better cover the move- ment property and the maneuvering level of various targets and meanwhile to reduce computation complexity are both worthwhile and also necessary research tasks to project implementation.The main work is done through the IMM algorithm of curvilinear model,the construction of angle velocity estimation model and the extension of it to state equations,whichmake it possible for normal acceleration to be self-adaptively adjusted,hence it reduces the model setto associate onlywithMcurvilinearmodels selatingtotangential acceler- ation.Computation burden is reduced and algorithm’s applying range is extended.The simulation further proves the conclusion )