17_3_15

matlab中解决一般线性方程组 微分方程组等各种方程类型的解决方法 入门级的好帮手(matlab help in solving various types of equations of general solutions of differential equations of linear equations, such as the entry-level)

qpsk下在多径瑞丽衰落信道的传输特性，有效果很好的误码率和信噪比曲线(The transmission characteristics of multipath Rayleigh fading channel under QPSK are effective, with good BER and SNR curves.)

6机系统k1-k18模型控制理论运用。(6-machine system k1-k18 model the use of control theory.)

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)

matlab 编写的最炫民族风歌曲，希望有人喜欢(zuixuanminzufeng edited by matlab and hope somebody will like it)

采用粒子群算法PSO优化BP神经网络，进行风电功率预测，含实际数据和案例(Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case)

mit（csail）上的matlab程序，里面的c++程序需要mex编译，算法可参考下面这篇论文(SIFT flow: dense correspondence across difference scenes ECCV2008)

Fisher线性判别是线性分类算法中最基本的一种算法，其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上，再进行分类。本文将用使用matlab实现Fisher线性判别算法，并给出４种阈值选择的方法。(Fisher Linear Discriminant is a linear classification algorithm as a basic algorithm, its basic idea is to d-dimensional space of the samples are projected onto one of the most easily classified projector online, and then classified. This article will use matlab to achieve Fisher Linear Discriminant algorithm, and gives four kinds of threshold selection method.)

用k2算法从先验概率构建贝叶斯网络，实现推理，结构学习，参数学习用贝叶斯方法。(K2 algorithm using Bayesian network built from the a priori probability to achieve reasoning, structure learning, parameter learning.)

实现turbo码的编码和解码，是一个递归卷积码的编解码的程序(Turbo code to achieve the encoding and decoding)