matlab_statistic

Implement an Erlang-B program, and calculate the offered traffic load for Channel number: 1~20, 200~220 Blocking rate: 1 , 3 , 5 , 10

direction finding Algorithm of ESPRIT Demo

计算机组成原理的实验报告，非常完整，一共二十多页，希望对大家有所帮助！(Computer organization lab reports, very complete, a total of more than 20 pages, we want to help!)

matlab数学手册，全面介绍了matlab在数值计算时的用法。(mathematics matlab manuals, a comprehensive introduction to numerical calculation in matlab usage.)

desity based traffic control ..using image processing..paper presentation and knowledge bast paper.its a new idea.

此程序为三维FDTD数值模拟，采用UPML边界(This program is three-dimensional FDTD simulation, using the boundary UPML)

用于混沌分析的matlab程序，包括各种标准混沌吸引子的产生，相空间重构参数选择、混沌预测等。(Chaotic analysis for matlab procedures, including a variety of criteria for selecting the chaotic attractor, phase space reconstruction parameters, such as chaotic prediction.)

说明：  一个有关GMSK基带调制和实现的MATLAB程序，自己编写的，请高手指教！(a GMSK baseband modulation and realized MATLAB procedures, the preparation of their own, experts advise!)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

利用灰色模型进行电力负荷预测，输出预测数值及其与实测值的误差曲线(power load forecasting by Grey model )