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1.题目：数字滤波器的设计与应用 2.设计要求：利用 Matlab 软件,以复合信号分离为例,对 “数字信号处理” 课程中 的谱分析 、数字滤波器设计和信号滤波这三个过程进行了仿真实现,给出了仿真结果。 3.具体步骤： （1）构造原始信号s(t) （2）画出s(t)的频谱 （3）设计ellipse数字滤波器(IIR)，包括低通，带通，带通，并显示幅频特性 （4）用得到的滤波器进行滤波，分离出三路信号，观察时域波形和幅频特性 （5）用三路信号s1,s2,s3尝试重新合成原始信号 4.问题：为什么重新合成的信号和原信号不相等呢？谁能解释一下？谢谢,QQ:664519036( 1. Title: Digital Filter Design and Application 2. Design requirements: use of Matlab software to composite signal separation, for example, on "Digital Signal Processing" course Of the spectral analysis, digital filter design and signal filtering process carried out three Simulation, the simulation results. 3. Concrete steps: (1) construct the original signal s (t) (2) Draw s (t) of the spectrum (3) design ellipse digital filter (IIR), including low pass, band pass, band pass, and shows amplitude-frequency characteristics (4) filtering with a filter obtained by the isolation of three signals, observed time-domain waveform and frequency characteristics (5) with a three-way signal s1, s2, s3 try to re-synthesis of the original signal 4. Question: Why is re-synthesized signal and the original signal is not equal to it? Who can explain? Thank you, QQ: 664519036)

mimo ofdm energy efficient and channel capacity

Daniel P. Palomar 2010的新作，凸优化在信号处理及通信中的应用。对于研究领域为通信理论及信号处理的学生而言，我强力推荐本书。(Daniel P. Palomar s new book published in 2010, 《convex optimization in signal processing and communications》. For the students in the areas of communication theory and signal processing, I strongly recommend this book.)

Imperialistic Competition Algorithm for optimization

mimo ofdm project work

多输入多输出，频域辨识，极大似然法，案例程序(Multiple input multiple output, frequency domain identification, maximum likelihood method)

TDOA/AOA定位的扩展卡尔曼滤波定位算法Matlab源码(TDOA/AOA positioning of the extended Kalman filter localization algorithm Matlab source code)

基于MATLAB的图像处理软件,可作为数字图像处理教学演示软件(MATLAB-based image processing software can be used as digital image processing Demo Software)

EMD（经验模态分解）程序，用于将非平稳信号分解为一系列不同频率的分量，以方便对信号进行分析。(EMD (empirical mode decomposition) program for the non-stationary signal is decomposed into a series of different frequency components, in order to facilitate the analysis of the signal.)

深度学习的一些工具包和一些例程，有关于BP神经网络，卷积神经网络等。用于熟悉相关算法基本够用。比较适合想了解此类内容的初学者。(Some Tools of deep learning. Eg:NN,CNN,BP and so on. It s pretty well to student.)