msvr

这个文件为用MATLAB simulink环境仿真的自适应增量脉冲编码调制模块(it s a simulink block of ADPCM)

该算法主要实现将经纬度变换成大地坐标，其主要用在海试等外场试验中。(The algorithm to realize the coordinates transform into the main geodetic coordinates, its main use in the field test and try. )

SCM中大尺度损耗下对不同地区路径损耗的计算(matlab for pathloss)

波束形成技术，包括相移波束形成，频域波束形成matlab代码，以及相关实验的ppt(Beamforming technology，matlab)

convolution with matlab

1．产生[0,1]均匀分布的白噪声序列 (1) 打印出前50个数 (2) 分布检验 (3) 均值检验 (4) 方差检验 (5) 计算相关函数 Bx(i),i=0,±1,±2,…, ±10 (1. Generated [0,1] uniformly distributed white noise sequence (1) print out the top 50 the number of (2) the distribution of test (3) the mean test (4) of variance test (5) calculating the correlation function Bx (i), i = 0 , ± 1, ± 2, ..., ± 10)

提出了一种新的算法结构,通过建立“局部环境因数”模型,利用集中式处理模式,动态 分配全局勘探和局部开采子种群比例,有效地实现分工目的,平衡算法的局部和全局搜索能力。将其 应用到两个不同类型的实际工程约束优化问题中进行验证,并与其他文献的改进算法进行了对比。 实验结果表明,该算法比其他改进算法在计算精度、效率、鲁棒性上都有很大的提高(Anewalgorithmarchitecturewasproposed. Inorder to adjust effectively the ratioof exploration subgroup versusexploitationone, the algorithmadopted the centralizedprocessingtechnique toconstruct the local environment factor, andbalancedthe local andglobal searchcapabilitiesof the algorithm. Furthermore, comparedwithother improvedintelligent algorithms, experimental results got from the application and verification of real constrained engineering design problem indicate that the algorithmperformsbetter intermsof accuracy, efficiencyandrobustness)

这是偶自己的作品拉，基于matlab环境，作的图象压缩实验，分别ＤＷＴ与ＳＷＴ作对比参照实验(This is the duality gap own work, based on the matlab environment, for the image compression experiments, DWT and SWT, respectively, compared with reference to experimental)

根据油膜轴承特点，编制了润滑数值计算程序，实现对油膜压力的数值模拟及显示。(According to the characteristics of the oil film bearings, lubrication compiled numerical procedures to achieve the numerical simulation of film pressure and display.)

Compute one frame of a correlogram. The input data is a two-dimensional array of cochlear data, each row representing firing probabilities from one cochlear channel. The output picture is a two dimensional array of width "picWidth".(Compute one frame of a correlogram. The proficient ut data is a two-dimensional array of the 11 d was observed. each row representing firing probabilities fr om one the 11 channel. The output is a picture two dimensional array of width "picWidth.")