blind-equalization-algorithm

运用误差载入法提高抗干扰过程的鲁棒性,应用于GPS抗干扰(Error loading method to improve the use of anti-jamming process robustness)

Extended Golay Code(24,12) decoder

A Gabor-filtering method for describing textural features is proposed, which applies the physical properties of a probability wave to probability transformation, and computes textural features 2) An adaptive strategy for feature and filter selection, and feature weighting, is proposed, which utilizes a user’s relevance feedback to reduce the redundancy in the representation and incorporate the user’s information needs in image retri 3) Integrating both schemes (the Gabor-filtering method and the adaptive strategy) for content-based mammogram retri is suggested

是信号处理的基础，LCMV优化设计阵列处理信号，多目标跟踪的粒子滤波器，到达过程是的泊松过程，最小均方误差（MMSE）的算法，使用大量的有限元法求解偏微分方程，music高阶谱分析算法，信号处理中的旋转不变子空间法。 ( Is the basis of the signal processing, LCMV optimization design array signal processing, Multi-target tracking particle filter, Arrival process is a Poisson process, Minimum mean square error (MMSE) algorithm, Using a large number of finite element method to solve partial differential equations, music higher order spectral analysis algorithm, Signal Processing ESPRIT method. )

program for signal synthetic

说明：  船舶Z形运动的一个程序，模型参数可靠，效果较好。(A program for Z-shaped motion of ships has reliable model parameters and good results.)

《通信系统仿真原理与无线应用》的matlab()

改进的NSGA-II的简单例子，包含NSGA-II的基本思想，直接在matlab中就可以运行。(Improve the NSGA- II simple examples, including the NSGA- II, the basic idea of directly can run in matlab.)

大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. (Experiments show that the proposed method on the same kind of sensor or between the different sensor image registration is valid. A new corner detection based image registration method, the core idea is to use a fast gray-based new algorithm for corner detection, scanning through the curve along the arc for corner information, and then based on these corner information to establish image correspondence between the corners, and thus be the beginning of registration parameters, and finally through the iterative process to improve the accuracy of registration. Theoretical analysis and experimental results show that the algorithm is rotation between the image does not limit , registration accuracy and less computation.)

单级倒立摆二级倒立摆simulink model and mutiple control aglorithms Full order observer Full order observer with Kalman filter Poleß Placement method LQR optimization(Single-stage inverted pendulum inverted pendulum simulink model and mutiple control aglorithms Full order observer Full order observer with Kalman filter Poleß Placement method LQR optimization)