JavaToKotlin

VB语音报数计算器源程序,有需要的就下载吧。(Talking Calculator VB source code, there is a need to download it.)

基于matlab的音乐语音信号的处理与分析，数字信号处理(The processing and analysis of music speech signal based on MATLAB, digital signal processing)

说明：  基于PSIM的T型三电平SVPWM仿真文件，(Three level SVPWM simulation file based on PSIM)

图像超分辨率MATLAB实现 一个完整的系统(The image super resolution MATLAB implements a complete system)

针对NASA锂电池数据集，使用MATLAB的M文件函数编程方式获取其中的容量数据。 压缩包中包含数据集和代码两部分。(For the NASA lithium battery data set, the capacity data are obtained by using the M file function programming method of MATLAB.The compressed package contains two parts: data set and code.)

说明：  MCMC方法是一种重要的模拟计算方法，马尔可夫链蒙特卡尔理论(Markov chain Monte Carlo：MCMC)的研究对建立可实际应用的统计模型开辟了广阔的前景。90年代以来，很多应用问题都存在着分析对象比较复杂与正确识别模型结构的困难。现在根据MCMC理论，通过使用专用统计软件进行MCMC模拟，可解决许多复杂性问题。此外，得益于MCMC理论的运用，使得贝叶斯(Bayes)统计得到了再度复兴，以往被认为不可能实施计算的统计方法变得是很轻而易举了。(The MCMC method is an important simulation method. The research of Markov chain Monte Carlo:MCMC (Markov) has opened up a broad prospect for the establishment of a practically applicable statistical model. Since 90s, many application problems have been difficult to analyze the complexity of the analysis objects and to identify the structure of the model correctly. Now, according to the MCMC theory, MCMC simulation can be done by using special statistical software to solve many complex problems. In addition, thanks to the application of MCMC theory, Bias's (Bayes) statistics has been revived again, and the statistical method which was previously considered impossible to carry out the calculation became very easy.)

练习利用Windows时钟编程-exercises using Windows clock programming

说明：  一维连续和离散小波变换（对matlab中所自带的noissin信号进行连续和离散小波变换）(One-dimensional continuous and discrete wavelet transform (for matlab in noissin own signal continuous and discrete wavelet transform))

说明：  克里金代理模型工具箱详细英文教程，详细讲解matlab克里金工具箱(Kriging Agent Model Toolkit Detailed English tutorial, detailed explanation of MATLAB Kriging Toolkit)

说明：  LoRa PCB及原理图,供软件编写人员阅读,有助于编程.(LoRa's PcbDOC and SchDOC)