matrix_decompose

用matlab仿真出HDB3编码以及译码和信源的仿真曲线(Matlab simulation using the HDB3 encoding and decoding and source of the simulation curve)

包括RZ，NRZ，QAM，FSK，误码率曲线等的仿真(including RZ, NRZ, QAM, FSK, BER curves Simulation)

IEEE33节点配电网潮流计算程序，采用前推回代方法进行计算(IEEE33 node flow calculation program，power generation method is used to calculate.)

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)

通信系统的设计,课程实际做的，有编码、调制解调等等部分构成，简单，但一定出结果(the design of communication system)

说明：  负荷预测 可以修改数据集进行预测谢谢谢谢谢谢(prediction in power election)

说明：  matlab介绍，让你更快的掌握MATLAB的各种操作，对MATLAB有一个清晰地认识！(matlab introduction, MATLAB allows you to quickly grasp the various operations on a clear understanding of MATLAB!)

MATLAB低通滤波，高斯滤波程序，共5个，对应分析的例子(MATLAB low-pass filter, Gaussian filter process)

基于ULA(均匀圆形阵列)的DOA估计算法代码，可参考(ULA (uniform circular array)-based DOA estimation algorithm code)

贝叶斯最小错误率分类器 用两列数据属性求二维正态分布 求后验概率分类(Bayesian minimum error rate sorter two columns of data attributes seeking seeking a two-dimensional normal posterior probability classification)