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matlab在数学建模中的应用，有效利用matlab进行数学建模(matlab mathematical modeling applications, the effective use of matlab mathematical modeling)

一篇很好的介绍11n物理层技术的文章，建议做相关工作的可以看看(ieee_circuits_systems wireless LAN Comes of Age Understanding the IEEE 802.11n Amendment)

定位系统的编写，运用DV_HOP算法，很简单，但是运行正确(Positioning system of writing, based on DV_HOP algorithm is simple, but correct operation)

基于matlab的线性规划计算，有两个简单的算例，非常适合初学者(The calculation is based on linear programming matlab, there are two simple examples, very suitable for beginners)

软开关在开关电源中的重要地位不言而喻，此代码实现了电源的软开关控制(Soft switching in the switching power supply in an important position is self-evident, this code implements the soft-switching power supply control)

模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。 (Simulated annealing algorithm derived from solid annealing principle, the solid is heated to a sufficiently high, let it cool slowly, when heated, solid particles with temperature becomes disordered state, the internal energy increases, while slowly cooling the particles gradually increasingly ordered at each temperature to reach equilibrium, and finally reach the ground state at normal temperature, which can be reduced to a minimum.)

设计一个模糊PID控制器,以及单级倒立摆simulink系统，使其可是实现对单级倒立摆的的优化控制。(Design a fuzzy PID controller and a single-stage inverted pendulum simulink system to achieve optimal control of the single-stage inverted pendulum.)

利用Kalman及EKF对两相永磁同步电机的状态进行估计。假设电机线圈电流可测，利用 EFK来估计电机的位置和转速。(Use of Kalman and EKF on two-phase permanent magnet synchronous motor of the state estimate. Assumptions motor coil current can be measured using EFK to estimate the motor position and speed.)

模式识别中经典的PCA算法，大家可以参考借鉴一下！(PCA in the classic pattern recognition algorithms, we can refer to learn it!)

RNA 和 DNA序列模拟 基因建模 数值模拟 采用matlab 编写 能计算几千个 基因点的特性和行为(In one type of gene expression analysis, fluorescently tagged messenger RNA from different cells are hybridized to a microscopic array of thousands of complimentary DNA spots that correspond to different genes. Illuminated spots emit different color light, indicating which genes are expressed (e.g., green=control, red=sample, yellow=both). In this case study, MATLAB, the Image Processing and Signal Processing toolboxes were used to determine the green intensities from a small portion of a microarray image containing 4,800 spots. A 10x10 pattern of spots was detected by averaging rows and columns to produce horizontal and vertical profiles. Periodicity was determined automatically by autocorrelation and used to form an optimal length filter for morphological background removal. A rectangular grid of bounding boxes was defined. Each spot was individually addressed and segmented by thresholding to form a mask. The mask was used to isolate each spot from surrounding background. Individu)