faulted_branch_id

本人做的GPS整个基带的捕获模型.用的是SIMULINK,捕获方式采用码并行捕获,其中信号源调整了P码(entire GPS base-band model of the capture. Simulation is used. Capture mode using parallel code capture, which adjusted the signal source code P)

数学建模-第一节无约束最小化Mathematical Modeling - Section unconstrained minimization(Mathematical Modeling- Section unconstrained minimization Mathematical Modeling- Section unconstrained minimization)

93lc56a/b的datasheet 參考看看(93lc56a/b The datasheet for reference to see)

vss-lms算法，基于lms算法的一种改进，可以有效加快收敛速度，减少收敛误差，相比于原来梯度算法有了很大提高(vss-lms algorithm, an improved algorithm based lms, can effectively accelerate the convergence speed and reduce the convergence error)

谢汉龙matlab书籍第四章基本入门功能的实现过程，常用matlab的基础程序(Implementation Xiehan Long basic introductory chapter books matlab function, commonly matlab foundation program)

we propose and demonstrate a method for increasing the resolution of a limited aperture and limited pixel size of the detector in an optical system by illuminating the input with a speckle pattern. This method includes an encoding function that encodes the high spatial frequencies of the object that can not pass the resolving limitations. Afterwards we use a decoding pattern which is the same pattern of the applied encoding function.

temperature model of lake in matlab

频率域建模，根据类型分为面向模拟滤波器的s域内建模和面向数字滤波器的z域内建模。 (Frequency domain modeling, according to the type of analog filters into the s-oriented domain modeling and digital filter z-oriented domain modeling.)

排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。 遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。(Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem. Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co)

fmincon函数的应用实例，求最小能量(fmincon function of the application instance, find the minimum energy)