rms

I got an array of data voltages and I want to get the RMS value from the FFT that has been applied before to that data. I've seen that RMS in time domain should be equal to RMS(fft) / sqrt(nFFT) from Parseval's Theorem, but gives me different results. I'm using these functions: 1)FFT public static VectorDPoint FFT(double[] trama, double samplingFreq) { double fs = samplingFreq; // Sampling frequency double t1 = 1 / fs; // Sample time int l = trama.Length; // Length of signal // Time vector //Vector t = Normal(0, l, 1) * t1; //// Values vector //Vector y = new Vector(trama); // We just use half

I'm building a mobile app with J2ME, and I've found that the data I write into a RecordStore can be accessed while the program is still running but it is lost after quitting and restarting it. No exception is thrown, the data is simply lost. UPDATE: Thanks everyone for your suggestions. I'm using NetBeans on Windows 7. I'm not sure if it is using the WTK version I have previously installed or another one it has installed somewhere else. I've checked my WTK folder for the files Pavel wrote about, but couldn't find them. Now I'm testing the features requiring persistence on my phone and

I am new in J2ME. In my Application, I want to add the Multiple Records in the Record Store and also want to access it. How can I add the multiple Records in the Record Store and how can I access it? Here is my library code for RMS, just study it, it is very easy to implement, all the methods like insert,updated, delete is there. import javax.microedition.rms.RecordEnumeration; import javax.microedition.rms.RecordStore; import javax.microedition.rms.RecordStoreFullException; import javax.microedition.rms.RecordStoreNotOpenException; import com.project.gui.components.CustomAlert; import com

分类问题的评价指标是准确率，那么回归算法的评价指标就是MSE，RMSE，MAE、R-Squared。下面一一介绍 均方误差（MSE） MSE （Mean Squared Error）叫做均方误差。看公式 这里的y是测试集上的。 用 真实值-预测值 然后平方之后求和平均。 猛着看一下这个公式是不是觉得眼熟，这不就是线性回归的损失函数嘛！！！ 对，在线性回归的时候我们的目的就是让这个损失函数最小。那么模型做出来了，我们把损失函数丢到测试集上去看看损失值不就好了嘛。简单直观暴力！ 均方根误差（RMSE） RMSE（Root Mean Squard Error）均方根误差。 这不就是MSE开个根号么。有意义么？其实实质是一样的。只不过用于数据更好的描述。 例如：要做房价预测，每平方是万元（真贵），我们预测结果也是万元。那么差值的平方单位应该是 千万级别的。那我们不太好描述自己做的模型效果。怎么说呢？我们的模型误差是 多少千万？。。。。。。于是干脆就开个根号就好了。我们误差的结果就跟我们数据是一个级别的可，在描述模型的时候就说，我们模型的误差是多少万元。 MAE MAE(平均绝对误差) 不用解释了吧。 R Squared 上面的几种衡量标准针对不同的模型会有不同的值。比如说预测房价 那么误差单位就是万元。数子可能是3，4，5之类的。那么预测身高就可能是0.1，0.6之类的。没有什么可读性

spring boot / cloud (八) 使用RestTemplate来构建远程调用服务 前言 上周因家里突发急事,请假一周,故博客没有正常更新 RestTemplate介绍: RestTemplate是spring框架中自带的rest客户端工具类,具有丰富的API,并且在spring cloud中,标记@LoadBalanced注解,可以实现客户端负载均衡的rest调用. 思路 RestTemplate虽然提供了丰富的API,但是这些API过于底层,如果不稍加控制,让开发人员随意使用,那后续的代码也将会变的五花八门,难以维护. 同时,当系统规模大了之后,将会有更多的服务,并且服务之间的调用关系也将更加复杂,如果不进行管控治理的话,同样,项目同期也将越来越不可控, 最后,服务间调用也需要有明确的权限认证机制,最好是能通过配置的方式来明确,哪些服务可以调用那些服务.从而来把控项目的复杂度. 本文将从以下几点来提供一个解决问题的思路: 通过spring boot的@ConfigurationProperties机制来定义远程服务的元数据,从而实现权限认证的配置化 使用HandlerInterceptor来进行拦截,实现权限的验证 定义通用Rms类,来规范RestTemplate的使用 实现 1.实现权限配置 1.定义Application元数据 public class

I am developing a J2ME application that has a large amount of data to store on the device (in the region of 1MB but variable). I can't rely on the file system so I'm stuck the Record Management System (RMS), which allows multiple record stores but each have a limited size. My initial target platform, Blackberry, limits each to 64KB. I'm wondering if anyone else has had to tackle the problem of storing a large amount of data in the RMS and how they managed it? I'm thinking of having to calculate record sizes and split one data set accross multiple stores if its too large, but that adds a lot of