Advanced-Mathematics-and-Mechanics-Applications-U

在采样频率为1Hz，数据长度为1000点和信噪比为10dB的条件下，进行PPS信号的DPT迭代检测(the sampling frequency of 1Hz, data length of 1,000 points and 10dB signal-to-noise ratio for the conditions, PPS signal for the detection of DPT iterative)

经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该方法不仅为降低采样频率提供了一种新思路,也为其它科学领域 的研究提供了新的契机.该文综述性地阐述了压缩感知方法的基本原理,给出了其中的一些约束问题和估计方法, 并介绍压缩感知理论的相关问题———矩阵填充,最后讨论了其未来可能的应用前景. (According to the conventional Shannon s sampling theorem,in order to represent the analog signal,the sampling rate should not be less than twice the Nyquist sampling rate.Howev- er,this theorem only makes use of the bandwidth information.As a result,the collected data contain many redundant information.The recently proposed sampling method,compressed sens- ing or compressive sampling(CS),can collect compressed data at the sampling rate much lower than that needed in Shannon s sampling theorem by exploring the compressibility of the signal. This paper presents a review on the basic theory of CS.Some of the restrictions and recovery methods in CS are also discussed.Finally,some potential applications based on CS are presented. )

扩展卡尔曼滤波算法的matlab程序，比较完整。(Extended Kalman filter algorithm matlab program, complete.)

matlab wavelet code, 小波变换的matlab源代码(matlab wavelet code)

implements the GOST 28147 OFB counter mode (GCTR).

planovanie trajektorie mobilneho robota

系统辨识源码，包含参数模型辨识算法程序和非参数模型辨识算法程序。(Source system identification, model identification algorithm contains parameters of procedures and non-parametric procedures for model identification algorithm.)

对Lorenz系统进行仿真出李雅普诺夫指数和最大李雅普诺夫指数；可以直接套用到其他的混沌系统进行反正出图即可。(The Lyapunov exponent and the largest Lyapunov exponent are simulated on the Lorenz system, and the other chaotic systems can be directly applied to the inverse diagram.)

在人们的生产活动和社会活动中常常会遇到这样的问题：经过一段时间之后，需要对具有相同类型的部门或单位（称为决策单元）进行评价，其评价的依据是决策单元的“输入”数据和“输出”数据，输入数据是指决策单元在某种活动中需要消耗的某些量，例如投入的资金总额，投入的总劳动力数，占地面积等等；输出数据是决策单元经过一定的输入之后，产生的表明该活动成效的某些信息量，例如不同类型的产品数量，产品的质量，经济效益等等．再具体些说，譬如在评价某城市的高等学校时，输入可以是学校的全年的资金，教职员工的总人数，教学用房的总面积，各类职称的教师人数等等；输出可以是培养博士研究生的人数，硕士研究生的人数，大学生的人数，学生的质量（德，智，体），教师的教学工作量，学校的科研成果（数量与质量)等等．根据输入数据和输出数据来评价决策单元的优劣，即所谓评价部门（或单位）间的相对有效性．(In people s productive activities and social activities often encounter such a problem: After a period of time, need to have the same type of departments or units (referred to as the decision-making unit) to evaluate the basis for his assessment in decision-making unit "input "Data and" output "data, input data refers to the decision-making unit in certain activities that need to consume certain amount of, for example, the total funds invested, the investment of the total workforce number, area, etc. output data through the decision-making unit After a certain input to produce the show the effectiveness of the activity of certain amount of information, such as different types of product quantity, product quality, economic efficiency and so on. Be more specific, said, for example, in evaluating a city s institutions of higher learning, the input can be the year the school funds, the total number of faculty, teaching a total area of space, all kinds of titles the number of teachers, etc)

一个matlab经典算法程序，用于处理规划问题，是比较好的。(A classical algorithm matlab program for treatment planning is relatively good.)