python-config-parser

银行排队系统的控制器部分,可以实现软件呼号,播放音频文件,以及权限问题进入操作界面-Bank queuing system part of the controller, you can call sign software, play audio files, as well as the rights issues into the interface

说明：  实现信号的时间反转，将信号进行还原，获取时间反转后的信号(Realize the time reversal of the signal and restore the signal)

本文针对并行干扰抵消检测器的不足之处，提出了改进的并行干扰抵消检测算法——基于多项式展开的并行干扰抵消多用户检测算法。该算法将多项式展开检测器作为并行干扰抵消检测器第一级的数据估计值，以提高检测可靠性。通过仿真实验，首先验证了多项式展开检测器的性能。然后比较改进算法与传统检测器的性能，验证改进算法的系统性能得到明显改善；并与并行干扰抵消检测器、解相关检测器和MMSE检测器相比较，验 证得到该改进算法的性能也有不同程度的改善。 (this paper discusses the principle and performance of the conventional detector and the parallel interference cancellation(PIC)detector separately.Since the conventional detector take MAI only as the background noise without considering the existence of the other users,the existence of MAI has a significant impact on the performance of CDMA systems.Each stage of PIC detector utilizes the data estimates of the initial or previous stage,produces a new set of MAI estimates,and then subtracts out all of the MAI for each user in parallel.Through Monte Carlo simulation in different scenarios,the results illustrate the influence of MAI in conventional CDMA ystems.Theexperimental results show PIC detector can effectively eliminate MAI andimprove the system BER. )

震动模拟数据采集，采集后的数据被存储在FLASH-Analog vibration data acquisition, data have been collected and stored in the FLASH

pki /ca document, which is the best file for pki instruction now

说明：  sx1278 -zm470Mx基于stm系列单片机，可以实现数据收发(sx1278 -zm470Mx)

欧美机构ea，智能暴力，回测稳定，mt4可以试用(European and American institutions ea, intelligent violence, stable backtest)

随意输入一个不大于5位的任意数分别将这些数字显示出来

简单实用，方便利用，实现了BP神经网络在C#下的编程和学习，更加方便和利用。

结合案例来描述每一种统计学模型，解释如何开展数据分析，讨论采用模拟手段来检验模型，这是模型开发与评估中的重要方面，给出多层回归模型（如多层ANOVA、多层线性回归和广义多层模型），指导如何用R语言采实现诸多方法，在线提供书中所用到的数据集和R语言脚本。(Combined with the case to describe each kind of statistical model, how to carry out data analysis and interpretation, discusses the use of simulation to test the model, this is an important aspect of the development and evaluation of the model, given the multi regression model (such as multilayer ANOVA, multi linear regression and generalized multi model), how to achieve a lot of mining method with the R language guide online provide the data set and the R script used in the book.)