This is a serial acquisition system of small procedures in the preparation of se...

音频32Kbps ADPCM压缩算法源文件-32Kbps ADPCM audio compression algorithm source document

butterworth滤波器，实现高通低通带通的butterworth滤波器

资源描述测试zigbee发射功率的实验的源码，可用IARzigbee开发软件直接打开。希望得到大家的支持谢谢了。

Generates the filtered BPSK and plots the spectrum

若华仪表通讯原程序,这是用VB编的程序与若华登记表进行通讯的-Ruohua original instrument of communication procedures, this is the VB series with the procedures and the registration form Ruohua communication

This paper studies the precoding design in a multicell multiuser (MU) system with universal frequency-reuse using a game-based approach.

资源描述#include #define uchar unsigned char //宏定义 #define uint unsigned int  //宏定义 sbit rs=P2^0; sbit e=P2^1; sbit key1=P2^2; //四个服务人员的按键 sbit key2=P2^3; sbit key3=P2^4; sbit key4=P2^5; sbit shengyinled=P2^6;   //模拟声音 sbit fuwuled=P2^7; uchar hao[50]="0";  //存储当前需要服务的号码 uchar j=0;    //  号码的个数 uchar *quhao=hao; uchar key=0;   //按键值 uchar code table[]="0123456789"; uchar code table1[]="Welcome!"; uchar code table2[]="No.0000->0hao";//用于液晶初始化显示 void delay(uchar z)  //延时函数 {     uchar i,j;     for(i=z;i>0;i--)         for(j=110;j>0;j--); } void wr

最佳升余弦滚降系统的多径传输. 滚降系数0.5, 取样时间无偏差.-best Raised Cosine system multipath transmission. Roll-off coefficient of 0.5, sampling time without deviation.

Atelier Web Capi ActiveX控件可以让你在几天甚至几个小时内完成ISDN相关的电话应用的开发。它不仅是另一个ISDN呼叫方ID控件。在这里，你可以发现只有那些最好的商业ISDN电话应用中才提供的核心功能。完全以DELPHI开发，并提供DELPHI控件。-Atelier Web Capi ActiveX controls can let you in a few days or even several hours to complete ISDN telephone related applications. It is not just another ISDN caller ID control. Here, you can find that only the best commercial ISDN phone applications provide the core functions. Completely DELPHI development, and provide DELPHI control.

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier -ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but