Aircraft-inertial-navigation-control-system-desig

Locai histogram in matlab

THIS IS ANOTHER COMPLETE REFRENCE BOOK

matlab源程序，包含两个文件，主体是采用JPDA数据关联算法实现两个匀速运动目标的点迹与航迹的关联(matlab source, contains two files, the subject is using JPDA data association algorithm to achieve two goals uniform motion trace and track the point)

这是关于一篇基于小波阈值的经验模态分解的论文(This is about a wavelet and empirical mode decomposition papers)

有详细说明，方便新手学习，本程序为计算光子晶体的透过率，反射，和吸收(Detailed instructions to facilitate novice learning)

EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions):Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Semicircle, Yule, Zeta,(EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions): Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Sem)

说明：  谱估计的MUSIC算法，里面有详细的介绍，对做谱估计的同学应该有帮助。(The MUSIC spectral estimation algorithm, there are detailed introduction to the spectral estimation of the students do should be helpful.)

使用匈牙利算法实现二部图最大匹配，最终找到二部图的最大匹配(achieve the max matching in bipartite graph useing the method of Hungarian algorithm)

寻找给定完全赋权图的最大匹配源程序的matlab实现(Given complete weighted graph to find the maximum matching matlab source code to achieve)

基于ESPRIT算法的DOA估计，利用ESPRIT算法进行DOA估计(DOA estimate with arithmetic)