#include "iostream" using namespace std; class Matrix { private: double** A; //矩阵A double *b; //向量b public: int size; Matrix(int ); ~Matrix(); friend double* Dooli(Matrix& ); void Input(); void Disp(); }; Matrix::Matrix(int x) { size=x; //为向量b分配空间并初始化为0 b=new double [x]; for(int j=0;j<x;j++) b[j]=0; //为向量A分配空间并初始化为0 A=new double* [x]; for(int i=0;i<x;i++) A[i]=new double [x]; for(int m=0;m<x;m++) for(int n=0;n<x;n++) A[m][n]=0; } Matrix::~Matrix() { cout<<"正在析构中~~~~"<<endl; delete b; for(int i=0;i<size;i++) delete A[i]; delete A; } void Matrix::Disp() { for(int i=0;i<size;i++) { for(int j=0;j<size;j++) cout<<A[i][j]<<" "; cout<<endl; } } void Matrix::Input() { cout<<"请输入A:"<<endl; for(int i=0;i<size;i++) for(int j=0;j<size;j++){ cout<<"第"<<i+1<<"行"<<"第"<<j+1<<"列:"<<endl; cin>>A[i][j]; } cout<<"请输入b:"<<endl; for(int j=0;j<size;j++){ cout<<"第"<<j+1<<"个:"<<endl; cin>>b[j]; } } double* Dooli(Matrix& A) { double *Xn=new double [A.size]; Matrix L(A.size),U(A.size); //分别求得U，L的第一行与第一列 for(int i=0;i<A.size;i++) U.A[0][i]=A.A[0][i]; for(int j=1;j<A.size;j++) L.A[j][0]=A.A[j][0]/U.A[0][0]; //分别求得U，L的第r行，第r列 double temp1=0,temp2=0; for(int r=1;r<A.size;r++){ //U for(int i=r;i<A.size;i++){ for(int k=0;k<r-1;k++) temp1=temp1+L.A[r][k]*U.A[k][i]; U.A[r][i]=A.A[r][i]-temp1; } //L for(int i=r+1;i<A.size;i++){ for(int k=0;k<r-1;k++) temp2=temp2+L.A[i][k]*U.A[k][r]; L.A[i][r]=(A.A[i][r]-temp2)/U.A[r][r]; } } cout<<"计算U得:"<<endl; U.Disp(); cout<<"计算L的:"<<endl; L.Disp(); double *Y=new double [A.size]; Y[0]=A.b[0]; for(int i=1;i<A.size;i++ ){ double temp3=0; for(int k=0;k<i-1;k++) temp3=temp3+L.A[i][k]*Y[k]; Y[i]=A.b[i]-temp3; } Xn[A.size-1]=Y[A.size-1]/U.A[A.size-1][A.size-1]; for(int i=A.size-1;i>=0;i--){ double temp4=0; for(int k=i+1;k<A.size;k++) temp4=temp4+U.A[i][k]*Xn[k]; Xn[i]=(Y[i]-temp4)/U.A[i][i]; } return Xn; } int main() { Matrix B(4); B.Input(); double *X; X=Dooli(B); cout<<"~~~~解得:"<<endl; for(int i=0;i<B.size;i++) cout<<"X["<<i<<"]:"<<X[i]<<" "; cout<<endl<<"呵呵呵呵呵"; return 0; }
标签： 道理特分解法
上传时间： 2018-05-20
上传用户：Aa123456789
The new digital radio system DAB (Digital Audio Broadcasting, nowadays often called Digital Radio) is a very innovative and universal multimedia broadcast system which will replace the existing AM and FM audio broadcast services in many parts of the world in the future. It was developed in the 1990s by the Eureka 147/DAB project. DAB is very well suited for mobile reception and provides very high robustness against multipath reception. It allows use of single frequency networks (SFNs) for high frequency efficiency.
标签： Broadcasting Principles Digital Audio
上传时间： 2020-05-27
上传用户：shancjb
In the nineteenth century, scientists, mathematician, engineers and innovators started investigating electromagnetism. The theory that underpins wireless communications was formed by Maxwell. Early demonstrations took place by Hertz, Tesla and others. Marconi demonstrated the first wireless transmission. Since then, the range of applications has expanded at an immense rate, together with the underpinning technology. The rate of development has been incredible and today the level of technical and commercial maturity is very high. This success would not have been possible without understanding radio- wave propagation. This knowledge enables us to design successful systems and networks, together with waveforms, antennal and transceiver architectures. The radio channel is the cornerstone to the operation of any wireless system.
标签： LTE-Advanced Generation Next and
上传时间： 2020-05-27
上传用户：shancjb
Changes in telecommunications are impacting all types of user group, which include business users, traveling users, small and home offices, and residential users. The acceptance rate of telecom- munications and information services is accelerating significantly. Voice services needed approximately 50 years to reach a very high teledensity; television needed just 15 years to change the culture and lives of many families; the Internet and its related services have been penetrating and changing business practices and private com- munications over the last 2 to 3 years.
标签： Telecommunications Handbook The
上传时间： 2020-06-01
上传用户：shancjb
Electrostatic discharge (ESD) is one of the most prevalent threats to the reliability of electronic components. It is an event in which a finite amount of charge is trans- ferred from one object (i.e., human body) to another (i.e., microchip). This process can result in a very high current passing through the microchip within a very short period of time, and, hence, more than 35% of chip damages can be attributed to an ESD-related event. As such, designing on-chip ESD structures to protect integrated circuits against the ESD stresses is a high priority in the semiconductor industry.
标签： Electrostatic Protection Discharge
上传时间： 2020-06-05
上传用户：shancjb
The goal of this book is to introduce the simulation methods necessary to describe the behaviour of semiconductor devices during an electrostatic discharge (ESD). The challenge of this task is the correct description of semiconductor devices under very high current density and high temperature transients. As it stands, the book can be no more than a snapshot and a summary of the research in this field during the past few years. The authors hope that the book will provide the basis for further development of simulation methods at this current frontier of device physics.
标签： Development Protection ESD
上传时间： 2020-06-05
上传用户：shancjb
The challenges associated with the design and implementation of Electro- static Discharge (ESD) protection circuits become increasingly complex as technology is scaled well into nano-metric regime. One must understand the behavior of semiconductor devices under very high current densities, high temperature transients in order to surmount the nano-meter ESD challenge. As a consequence, the quest for suitable ESD solution in a given technology must start from the device level. Traditional approaches of ESD design may not be adequate as the ESD damages occur at successively lower voltages in nano-metric dimensions.
标签： Protection Circuit Device Design ESD and
上传时间： 2020-06-05
上传用户：shancjb
基于TMS320F28335的超声波流量计硬件原理图+软件源码本文以TMS320F28335 处理器为核心，设计一种用于管道流量测量的超声波流量计。系统硬件由核心板，超声波发射和接收电路，切换电路，超声换能器，基于ADS805 的高速信号采集电路，人机交互以及电源等模块构成。采用时差法进行管道流量测量，时差测量采用SCOT 加权的广义互相关时延估计算法。本论文设计的超声波流量计具有测量速度快、准确性好、成本低等优点。关键字：C2000，超声波，流量，广义互相关算法AbstractA kind of ultrasonic flowmeter using for the pipe flow measurement is designed based onTMS320F28335 in this paper. The system hardware consists of the following parts: the core board,ultrasonic signal transmitter and receiver circuits, switch circuit, ultrasonic transducer, signalacquisition circuit based on ADS805, human-computer interaction module and power supplymodule, etc. The system use the method of time difference for pipeline flow measurement and thetime difference is calculated by the time-delay algorithm of SCOT weighted generalizedcross-correlation. The ultrasonic flowmeter has the features of high testing speed, high precisionand low cost, etc.Keywords: C2000,Ultrasonic, Flow, Generalized Cross-Correlation Algorithm
标签： tms320f28335 超声波流量计
上传时间： 2022-05-06
上传用户：
AR0231AT7C00XUEA0-DRBR（RGB滤光）安森美半导体推出采用突破性减少LED闪烁 (LFM)技术的新的230万像素CMOS图像传感器样品AR0231AT，为汽车先进驾驶辅助系统(ADAS)应用确立了一个新基准。新器件能捕获1080p高动态范围(HDR)视频，还具备支持汽车安全完整性等级B(ASIL B)的特性。LFM技术(专利申请中)消除交通信号灯和汽车LED照明的高频LED闪烁，令交通信号阅读算法能于所有光照条件下工作。AR0231AT具有1/2.7英寸(6.82 mm)光学格式和1928(水平) x 1208(垂直)有源像素阵列。它采用最新的3.0微米背照式(BSI)像素及安森美半导体的DR-Pix™技术，提供双转换增益以在所有光照条件下提升性能。它以线性、HDR或LFM模式捕获图像，并提供模式间的帧到帧情境切换。 AR0231AT提供达4重曝光的HDR，以出色的噪声性能捕获超过120dB的动态范围。AR0231AT能同步支持多个摄相机，以易于在汽车应用中实现多个传感器节点，和通过一个简单的双线串行接口实现用户可编程性。它还有多个数据接口，包括MIPI(移动产业处理器接口)、并行和HiSPi(高速串行像素接口)。其它关键特性还包括可选自动化或用户控制的黑电平控制，支持扩频时钟输入和提供多色滤波阵列选择。封装和现状：AR0231AT采用11 mm x 10 mm iBGA-121封装，现提供工程样品。工作温度范围为-40℃至105℃(环境温度)，将完全通过AEC-Q100认证。
标签： 图像传感器
上传时间： 2022-06-27
上传用户：XuVshu
EIA（ELECTRONIC INDUSTRIES ALLIANCE）标准文档EIA-CEA-861-B，A DTV Profile for Uncompressed High Speed Digital Interfaces。
标签： ELECTRONIC INDUSTRIES ALLIANCE EIA-CEA
上传时间： 2015-09-27
上传用户：hphh
