sun_position

说明：  在分析了无刷直流电动机 (BLDCM) 数学模型的基础上,用 MAT LAB建立了无刷直流电动机控制系统的 真模型,对系统进行了仿真和分析,给出了仿真结果,验证了数学模型的有效性及控制系统设计的合理性。(The analysis of the brushless DC motor (BLDCM) based on the mathematical model, using MAT LAB established a brushless DC motor control system of the true model of the system simulation and analysis of simulation results to verify the mathematical model effectiveness and control system design is reasonable.)

语音分帧程序，解决了MATLAB难以读取.WAV问题(Voice sub-frame process of MATLAB to solve difficult to read. WAV problem)

“基于Floyd最短路算法的Ford和Fulkerson迭加算法”的最小费用最大流算法，其基本思路为：把各条弧上单位流量的费用看成某种长度，用Floyd求最短路的方法确定一条自V1至Vn的最短路；再将这条最短路作为可扩充路，用求解最大流问题的方法将其上的流量增至最大可能值；而这条最短路上的流量增加后，其上各条弧的单位流量的费用要重新确定，如此多次迭代，最终得到最小费用最大流。 (" Floyd shortest path algorithm based on the Ford and Fulkerson algorithm superposition" of the minimum cost maximum flow algorithm, the basic idea is: the flow of each arc on the unit cost as a length, with Floyd for the most short-circuit method to determine a from V1 to Vn of the most short-circuit then this can be expanded as the shortest way, by solving the maximum flow of traffic on the way to its maximum possible value and this increased the flow of the shortest path, on which the arcs of the unit to re-determine the cost of traffic, so several iterations, finally get the minimum cost maximum flow.)

说明：  Turbo码的BCJR 算法 将通过观察离散无记忆信道(DMC) 中的M arkov 信源的接收序列, 经过计算, 给出每符号(状态) 最小 差错概率的符号(状态) 序列。(Turbo Codes BCJR algorithm by observing without discrete memory accesses (DMC), M arkov source reception sequence, calculated, given every sign (state), the smallest error probability of symbols (state) sequence.)

matlab层次分析及例题讲解，本文档详细讲述了层次分析法的概念内涵以及应用(Matlab level analysis and examples to explain the document in detail about the connotation of the concept of the Analytic Hierarchy Process and Application)

ClassCompareTest extends AbstractComparatorTest Source Code for Andriod.

machine learning 方面有关于Bayesian Review and Gaussian Processes的资料，语言是python(machine learning aspects of information concerning the Bayesian Review and Gaussian Processes, language is python)

This code draw a red rectangle aroud the face

非线性动力学控制问题 利用MATLAB中的simulink对非线性动力学进行研究(Control of nonlinear dynamics using MATLAB simulink in the study of nonlinear dynamics)

此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)