probability density function (pdf) การใช้

• When the radar is narrow band , radar target is studies as a point target . target and clutter are modeled as having a zero - mean complex gaussian probability density function ( pdf ) . target is assumed as slowly - fluctuant
• All numerical experiments are passed the statistically confidential test second , on the basis of the retrieved data of soil water content and land surface temperature , the probability density functions ( pdf ) of them fitted
• The cumulative probability distribution ( cpd ) and probability density function ( pdf ) of the magnitude of signals with noise are approximated by the cumulate percentage distribution ( cpd ) and percentage density ( pcd ) respectively by sorting and discretizing . the simulation verfies the following
• Kde is a non - parametric method which is capable of extracting the population ' s probability density function ( pdf ) based on data sample only without any a prior knowledge about the statistic properties of the data regime . in this thesis , it is conducted the implementation of the kde for monitoring the performance of batch production processes
• Third , based on the parameterization of the related land surface characteristics , using the probability density functions ( pdf ) and the grossly dynamic resistance method , a statistical - dynamical parameterization scheme is put forward . the mean evapotranspiration flux of lower reaches of the yangtze river is calculated by tins scheme and the results are compared with the formers " conclusions . finally , the calculated results by the statistical - dynamical parameterization scheme are compared with the mosaic method
• The scheme is on the basis of the heterogeneity of soil water content ' s horizontal spatial distribution in the region and the evaporative power of relatively saturated region . if the probability density function ( pdf ) of soil water content ' s horizontal spatial distribution and the evaporative power of relatively saturated region are attainable , the mean evapotranspiration flux of the region can be calculated
• Present a modified particle filter ( pf ) algorithm based on the los / nlos binary state information of propagation environment using the numerical method of the probability density function ( pdf ) about the hybrid noise . the key idea is using numerical method to calculate the hybrid noise pdf , and integrating binary environment information to get filtering result
• Then the unified approach can be applied to it to acquire the ensemble random evolutionary response . since the normal probability density function ( pdf ) may lead to instability of some sample systems when the random parameters taking sufficiently small negative values , an arch - like pdf and a more adaptable - pdf , together with the matching chebyshev polynomial approximation and gegenbauer polynomial approximation , are suggested . numerical examples show that the suggested methods are effective