QPSK-simulation-design

用于信号（振动信号等其它信号）消除趋势项，采用最小二乘原理(Used to signal to eliminate trend items)

精通matlab神经网络 的书籍源码，学习神经网络的同学真的不容错过，错过了就是不应该的(Proficient in matlab neural network books source code, learning neural network classmates really cannot miss, miss is not should)

语音是人类交换信息的有效渠道之一，也是我们日常生活交流的主要形式。 语音与当今科学技术的快速发展息息相关，特别是计算机中的语音交互技术，通 过对语音信号进行采集和处理，实现人与人之间有效信息的传输、获取以及存储。 基于 MATALAB 的语音信号去噪设计，对噪声信号进行有效地滤除，将降噪后的语音信号与原始 信号在时域和频域进行对比分析，计算出信噪比，并在 MATLAB 中设计 GUI 仿 真界面进行展示.(Speech is one of the effective ways for human to exchange information, and it is also the main form of our daily life communication. Speech is closely related to the rapid development of modern science and technology, especially the voice interaction technology in the computer. Through the acquisition and processing of voice signals, the transmission, acquisition and storage of effective information between people and people is realized. Based on the noise signal de-noising design of MATALAB, the noise signal is effectively filtered, the speech signal and the original signal after the noise reduction are compared and analyzed in the time domain and frequency domain, and the signal to noise ratio is calculated, and the GUI simulation interface is designed in the MATLAB.)

Face detection with facial Expression Analyze, Feature points stored in excel sheet,GUI module also used.

simulink的简单应用和一些简单的simulink通信方面的仿真实例,还有一些简单的入门课件(simulink)

设计调整MIMO系统的控制软件，适合链路级平台所使用(design adjustments MIMO system control software, link-level platform suitable for use)

说明：  关于图像滤波技术的代码，对图像处理中的滤波技术的学习非常有用(The code on the image filtering techniques, image processing filtering technique is very useful to learn)

基于经典的BHMie，Christian Matzler进行了优化和改进，并利用matlab对mie散射中的一系列重要参数进行了模拟，文档中附有源码及对源码的详细说明。(Based on BHMie codes, Christian Matzler improved it and simulate s series of important parameters in mie scattering. In the text, there are original codes attached and also a detailed description is included.)

应用MATLAB编写的三维时域有限差分程序。是初学FDTD的好帮手。建议初学者参考。(Application of MATLAB to prepare three-dimensional finite difference time domain procedure. FDTD are learning a good helper. Recommended reference for beginners.)

LMS自适应算法 自适应横向滤波器两个权值，输入随机信号r（n）的样本间相互独立，且它的平均功率为Pr =E[r2(n)]=0.01，信号周期为N=16个样点。求最佳权向量解ω0和收敛因子μ的取值范围，并分别汇出ω(0)=[0 0]T，μ=0.1及ω(0)=[4 -10]T，μ=0.05时，两种情况下的权值变化轨迹和第一种情况下误差e(n)与迭代次数n的关系曲线。(LMS adaptive algorithm The right value of the change trajectory)