unixbench-5.1.2.tar

VB初级练习源码适合刚学习VB的人练习-VB source code of primary practice

仿真RM码，及在高斯信道下的译码性能，对RM采用大数逻辑译码算法，并与单独BPSK调制在高斯信道的性能进行比较，分析上述两个码带来的编码增益。-RM

Flash小球特效 跟随鼠标旋转，可把本效果应用于flash Loading剪辑中，鼠标移动的超快，小球旋转的越快，整体上是随着鼠标移动的，可以看作是鼠标跟随特效吧。

把8位图像转成灰度图的源码，需要的朋友可以试试(Turn the 8 images into the source of the grayscale, you need friends to try.)

说明：  基于FFT的谐波检测,采用快速傅里叶算法后得到原始波形中各次分量的频率和幅值特性，从中可以直接观测出各次谐波分量的频率和幅值信息. 程序1采用快速傅里叶算法后得到原始波形中各次分量的频率和幅值特性图 程序2输入信号经过FFT变换得到的频谱特性图 程序3对输入信号进行采样，应用一维小波变换函数进行三层小波分析(Based on FFT harmonic detection, the frequency and amplitude characteristics of each harmonic component in the original waveform are obtained by using fast Fourier algorithm, from which the frequency and amplitude information of each harmonic component can be directly observed In program 1, the frequency and amplitude characteristics of each component in the original waveform are obtained by using the fast Fourier algorithm The spectrum characteristic diagram of program 2 input signal through FFT transformation Program 3 samples the input signal and applies one-dimensional wavelet transform function to three-level wavelet analysis)

西门子PLC 常用通讯案例及配置，适合入门使用(SIMENS PLC Common communication cases and configurations)

学生比赛的时候自行设计的OA办公系统，功能可能不是那么完善(The function of the OA office system designed by the students during the competition may not be so perfect.)

说明：  应用拉格朗日对偶问题的次梯度技术求解**无容量设施选址问题**(Solve **Uncapacitated Facility Location Problem** using _Subgradient technique_ applied to Lagrangian dual problem)

说明：  克里金(Kriging)插值法又称空间自协方差最佳插值法，它是以南非矿业工程师D．G．Krige的名字命名的一种最优内插法。克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。(Kriging interpolation, also known as spatial autocorrelation optimal interpolation, is named after d.g.krige, a mining engineer in South Africa. Kriging method is widely used in groundwater simulation, soil mapping and other fields. It is a very useful geostatistical grid method. Firstly, it considers the variation distribution of spatial attributes in spatial position, determines the range of distance that affects the value of a point to be inserted, and then estimates the attribute value of the point to be inserted with the sampling points in this range. This method can provide the best linear unbiased estimation (the determined value at a certain point) for the studied object mathematically.)

Java to IDL!!关于Java和IDL的具体介绍！！个人感觉还可以吧！！可以看看！-Java to IDL! ! IDL on Java and on the concrete! ! Personal feelings can! ! Can see!