OREILLY-Learning_The_UNIX_Operating_System

用MUSIC方法估计信号源的二维DOA,即对方位角和俯仰角进行估计。(MUSIC method estimates the signal source with a two-dimensional DOA, that is to estimate the azimuth and elevation.)

alpha-β滤波器是针对匀速运动目标模型的一种常增益滤波器，本代码给出了在目标机动指标已知、未知和自适应滤波三种情况下的仿真代码(alpha-β filter is a moving target model for a uniform constant gain filter, the code is given in the target mobile targets known, unknown and adaptive filtering three cases of simulation code)

TURBO码的MATLAB源程序，包括流程和子程序。(TURBO MATLAB source code, including the processes and routines.)

NR for economic dispatch

说明：  现代海战需要功能综合的作战平台和性能优良的 武器系统来应对，海战场复杂多维的环境因素对海上 兵力运用有很大的影响。因此，如何准确建立海战场 的评估指标体系并进行科学评判是指挥员做出决策的 重要前提。目前，海战场环境评估的方法有层次分析 法、模糊评判法、指数法等11’21。针对这些方法主观性 比较强等不足，本文引入云重心的评估方法简单易行， 科学有效，可操作性强。 基于云重心方法的海战场环境评估(Modern naval warfare needs integrated operational platforms and excellent weapon systems to cope with. The complex and multi-dimensional environmental factors of naval battlefield have a great impact on the use of naval forces. Therefore, how to accurately establish the evaluation index system of sea battlefield and make scientific evaluation is an important prerequisite for commanders to make decisions. At present, the methods of Marine Battlefield Environment Assessment include analytic hierarchy process, fuzzy evaluation, index method and so on. In view of these shortcomings, such as strong subjectivity, this paper introduces cloud gravity center evaluation method which is simple, scientific and effective, and operable. Sea Battlefield Environment Assessment Based on Cloud Barycenter Method)

说明：  分析了NIENNA整流器在不同输入电流建立了NIENNA整流器在电网不平衡条件下及不平衡条件下的数学模型，研究了基于有限集模型预测控制的VIENNA整流器。(The mathematical model of the NIENNA rectifier under different input currents and the unbalanced conditions of the power grid are analyzed. The VIENNA rectifier based on finite set model predictive control is analyzed.)

Banker Algorithms Implemented in C/C++

可以自定义精度（最小频率分辨率）的FFT频谱细化算法：FFT-FT(Can customize the precision (the minimum frequency resolution) of the FFT spectrum thinning algorithm: FFT-FT)

为了得到具有一般相关量测噪声线性系统的递推滤波算法, 将该问题转化为具有相关量测 单值随机向量的滤波问题,根据单值随机向量的线性无偏最小方差估计算法,导出了量测噪声为一 般相关鞅差序列的线性系统的最优递推状态估计滤波算法.通过数值仿真,将该算法与假定量测噪 声不相关时的Kalman 滤波算法进行了比较,证明了该算法的有效性(In order to obtain the recursive f i ltering alg orithm for a linear system w ith general correlat
ed measurement noises, the problem is t ransformed to that of filtering for a single random vector w ith correlated measurements. According to the linear unbiased minimum variance estimation algorithm for a single random vector, a recursive filtering algori thm is presented. A digital simulat ion technique is used such that the new algorithm can be compared w i th the Kalman f i ltering algorithm, assuming that the measurement noises are uncorrelated. Validi ty of the proposed algorithm is thus proved)

说明：  syllabe detection using STE