optimization-problem-in-this-paper

Performance of QPSK and DQPSK in AWGN and Rayleigh Fading Channel. A detailed Report of the work done in the source code is also attached as another file

基于Matlab的牛顿拉弗逊发潮流计算，可以计算给定节点的潮流分析(Laffer is calculated based on Matlab Newton Johnson hair trend can be calculated for a given node trend analysis)

this is aircraft power network cotrol system.

稀疏重构的理论基础和数值方法 （英文原版图书）(Theoretical Foundations and Numerical Methods for Sparse Recovery)

说明：  普通显示技术是根据几何光学成像原理，记录下光波的振幅，将空间物体成像在一个平面上。由于丢失了光波的相位信息，因而物体的信息是不完整的。全息图因能够完整地记录物光波的振幅和相位，因而能够包含物体的全部信息。菲涅耳全息术作为全息术的一个分支，更是得到了飞速的发展，已经广泛应用于全息干涉计量术、全息存储、全息光学组件、全息显微术等各个领域。 本论文主要研究菲涅耳全息图的编码与显示过程。经典光全息术包括波前记录和波前再现两步。全息波前记录将物光和参考光以干涉条纹记录成全息图，此全息图同时记录了物光波的振幅和相位 然后用参考光照射全息图，该参考光经过衍射后，即可再现出原始物体。 计算全息是将先进的计算机技术和光全息术结合起来，利用计算机产生全息图。它不需要物体实际存在，而是把物波的数学描述输入计算机处理后，绘制出全息图，然后用光学方法重现。本文采用计算全息方法,利用Matlab模拟光线的菲涅耳衍射传播,用计算机生成菲涅耳全息图 ,并由所生成的全息图再现出原始图像 ,完成全息图的数字再现。 (Fresnel hologram coding and display)

Summary: Newton-Raphson method for all real roots of the polynomial. MATLAB Release: R11 Description: This M-file calculates all the real roots of the given polynomial. It calls syn_division, a synthetic division function, and derivate, differentiation function. (Summary: Newton-Raphson method for all real roots of the polynomial. MATLAB Release: R11 Description: This M-file calculates all the real roots of the given polynomial. It calls syn_division, a synthetic division function, and derivate, differentiation function.)

MATLAB语法与绘图,压缩文件里是图片格式文件.(MATLAB grammar and graphics, compressed file is a picture format.)

An adaptive learning scheme for load balancing with zone partition

基于Dq变换数字实现三相锁相环的功能，对于谐波的抗干扰能力差(three-phase phase-lock loop based on d-q transformation)

Adaptive filtering constitutes one of the core technologies in digital signal processing and finds numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide range of applications, including echo cancellation, adaptive equalization, adaptive noise cancellation, and adaptive beamforming. Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. The signal interference caused by acoustic echo is distracting to users and causes a reduction in the quality of the communication. This paper focuses on the use of LMS and NLMS algorithms to reduce this unwanted echo, thus increasing communication quality.