busdatas

利用现代谱估计中的AR 模型求取仿真噪声信号和真实噪声信号的模型参数，然后利用这些参数求得信号的功率谱图，通过功率谱图定性地描述主噪声源和次噪声源。在利用信号功率谱图定性描述噪声源后，进一步地利用曲线相似度和曲线关联度定量的识别主噪声源和次噪声源(Use of modern spectral estimation of AR model to strike a realistic simulation of the noise signal and noise model parameters, and then use these parameters obtained by the signal power spectrum, power spectrum qualitatively described by the main noise source and the second noise source. In the use of qualitative description of the noise signal power spectrum of the source, the further use of the correlation curve and the curve of quantitative similarity identification of the main noise source and the second noise source)

求解时滞微分方程组，并给出了Matlab程序的源代码(Delay Differential Equation, and gives the the Matlab program source code)

模糊矩阵分析中建立模糊相似矩阵（标定）的各种方法的MATLAB程序(Fuzzy matrix analysis to create a fuzzy similarity matrix (calibration) of the various methods of MATLAB procedures)

MATLAB遗传算法工具箱,为遗传算法的实现提供了极大的方便(MATLAB genetic algorithm toolbox for the genetic algorithm provides a great convenience)

基于matlab的三维图像重建源代码，代码为m文件，需要MATLAB软件运行(matlab 3D Reconstruction)

本论文首先介绍了当前深空通信的编码调制技术的现状与发展，阐述了以往 的深空通信中的编码和调制技术的方案和局限性，提出LDPC码和FQPSK调制的 优越性和发展前景。第二章描绘了LDPC码的奇偶校验矩阵的图形表示、生成方 式和译码方法，并比较二元LDPC码和多元LDPC码的优越性和实现问题。第三 章在介绍FQPSK调制的方案的由来、改进和发展的基础上，对其进行了功率谱分 析，介绍了一些常规的解调方案。(This paper introduces the current situation and development of the technology of deep-space communication code modulation on the coding and modulation techniques in deep space communications program and limitations of the proposed of LDPC codes FQPSK modulation superiority and development prospects. Chapter II depicts a graphical representation of the LDPC code of the parity check matrix generation method and decoding method, and compare the superiority of binary LDPC codes and multiple LDPC code and implementation problems. Chapter origin in the introduction FQPSK modulation program, improvement and development on the basis of its power spectrum analysis, conventional demodulation.)

this mfile is a code for simulation rice fading channels versus snr.

短时交通流预测是实现交通流诱导的关键技术之一。短时交通流因为其不确定性等特点而使其预测很复杂。本文通过实地调查获取的交通流量数据，分别采用移动平均法、指数平滑法、AR模型法三种交通流预测方法进行短时交通流量预测。(Traffic flow forecasting is one of the key technologies to achieve traffic induced. Traffic flow because the characteristics of its uncertainty and make it very complicated to predict. Traffic data presented herein obtained through field surveys were used moving average, exponential smoothing, AR model method in three short-term traffic flow forecasting method to predict traffic flow.)

matlab讲义，附带部分源代码，是一份不错的学习matlab资料，哪个学校的忘记了。(matlab handouts, incidental part of the source code, is a good study matlab data, which schools have forgotten.)

A New Approach to Fourier Synthesis With Application to Neural Encoding and Speech Classification