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global posistioning system ,the different types of antenna used

说明：  用于验证时域采样定理，进一步理解和使用采样定理(Used to verify the time-domain sampling theorem )

cost存放了一个强连通图的边权矩阵，作为一个实例。 可在workspace中加载 运用此算法要注意多次试验。(storage cost of a strongly connected graph edge weight matrix, as an example. Loaded in the workspace using this algorithm is to pay attention to several tests.)

This paper describes the impact of fuzzy parameter in FCM algorithm, and found 2.1 value as suitable one.

说明：  用于计算Zernike多项式系数在缩放、偏心、旋转后的值(Calculating the values of Zernike polynomial coefficients after scaling, eccentricity and rotation)

viterbi硬判决代码，用于卷积码译码(hard decision viterbi code for decoding convolutional codes)

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)

鲍威尔算法，最优化算法，研究生学习，大家相互交流(Powell algorithm, optimization algorithms, graduate study, we exchange)

A sound source can be localized in a two dimensional plane using the audio recorded at three known microphone locations. Much like a GPS system, Time Difference of Arrival algorithms can be used to determine the difference in time and distance of a sound source to other microphones. With that information a Chan algorithm can be used to determine the X Y coordinates of the originating sound source. To do so, however, you must first provide the XY coordinates of each of the 3 microphones. Note that for faster and simpler calculation one of the microphones should be placed at the origin (0, 0) of you XY plane.