matlab

这是实现压缩感知中的匹配追踪算法。 匹配追踪算法是一种最常用的压缩感知算法。(This is the compression-aware matching pursuit algorithm. The matching pursuit algorithm is one of the most commonly used in compressed sensing algorithm.)

In this work, we present a novel evolutionary multiagent-based simulation tool, named as GAPatrol. Such system is devoted to the specification of effective police patrol route strategies for coping with criminal activities happening in a given artificial urban environment, which, in turn, mimics a real demographic region of interest.

基于有限单元法的三角剖分圆的MATLAB程序(Finite element method based on triangulation of the circle MATLAB program)

the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain

工程计算MATLAB code to calculate the reorthogonalized sine tapers input: N = the length of the time series data to be tapered p = the number of tapers requested I = the gap structure a vector of length N I(t) = 1 if there is data at time t, t=1, ..., N I(t) = 0 if there is a gap at time t output: X = N-by-p vector of the reorthogonalized sine taper(engineering MATLAB code to calculate the reorthog onalized sine tapers input : N = the length of the time series data to be tapere d p = the number of tapers I requested the gap str = ucture a vector of length N of I (t) = 1 if there is dat a at time t, t = 1, ..., I N (t) = 0 if there is a gap at time t output : X = N-by-p vector of the reorthogonalized sine t aper)

模型预测控制是20世纪80年代初开始发展起来的一类新型计算机控制算法。该算法直接产生于工业过程控制的实际应用，并在与工业应用的紧密结合中不断完善和成熟(Model predictive control is a new class of computer control algorithms developed in the early 1980s . The algorithm directly to produce practical applications in industrial process control , and continue to improve and mature closely integrated with industrial applications)

利用c++编程，该程序实现了不使用标准块输入访问simulink信号(Using c++ programming, the program achieved without the use of standard access simulink block input signal )

图像拼接的matlab程序，有需要的朋友可以下载下来看看(Matlab image stitching program, a friend in need can be downloaded to see)

本文首先介绍了几种LDPC码的编译码算法，同时推导了译码错误概率和密度进化 过程，讨论了信道参数的门限效应。接着对LDPC码二分图中长度为4的环进行了深入 研究，提出了一种LDPC码校验矩阵的消4一环生成算法，采用Matlab和VC++融合编程 方式，完成了此算法的程序设计。此算法不仅可生成二进制LDPC码的校验矩阵，并且 对算法修正后，也可生成多进制LDPC码的校验矩阵。采用此算法后可避免LDPC码译 码过程中的重复迭代，显著提高了短帧LDPC码的误比特率性能。同时对不同参数对 LDPC码性能的影响进行了仿真，得到了一些结论。最后，利用VHDL语言在复杂可编 程逻辑器件(CPLD)上完成了LDPC码编码器的硬件实现。另外，给出了LDPC码译 码器硬件实现的整体结构图，结合对数似然比域内的置信传播迭代译码(LLR-BP)算 法，对译码器的各个模块进行了详细阐述。(Research and implementation of LDPC coding and decoding technology)

2017年0616，该频域分解（FDD）土木工程中的一个输出系统识别技术的流行，特别是在结构健康监测。作为一个输出的算法，它是有用的当输入数据是未知的。FDD是模态分析技术，生成系统的实现采用了频率响应（多）输出数据参考。所附的MATLAB代码实现了这一技术的模态参数识别。为了使用此代码，处理（趋势、过滤等）时间的历史数据必须存储在一个Excel文件（数据每一频道栏目）。检查“加速度。对于时间的历史文件的一个实例xlsx”。(In 2017, 0616, frequency domain decomposition (FDD), an output system in civil engineering, was popular in identification technology, especially in structural health monitoring. As an output of the algorithm, it is useful when the input data is unknown. FDD is a modal analysis technique, and the implementation of the system adopts a frequency response (multiple) output data reference.)