模糊控制

this zip file contains m-file as functions to fingerprint enhancement.

用matlab计算并成图形的电路设计中幅频=相位响应图 ，也可为设计计算带通滤波器的中心频率以及Q值提供参考(Using matlab to calculate and graphics into the circuit design of amplitude and frequency = phase response plans can also be calculated for the design of band-pass filter center frequency and Q value to provide reference)

画图瑞利背景下CA CFAR检测性能比较的Matlab程序 (plot a figure speed platform where both the target and the clutter have range walk. In this method, for efficient clutter suppression the clutter’s range walk)

mascara binaria y filtrado

利用SOM神经网络设计矢量量化的码书，结果优于传统的LBG方法，失真度较小。(SOM neural network design use vector quantization codebook, the result is better than traditional methods LBG, distortion is small.)

Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems Hani Mehrpouyan, Member, IEEE, Ali A. Nasir, Student Member, IEEE, Steven D. Blostein, Senior Member, IEEE, Thomas Eriksson, George K. Karagiannidis, Senior Member, IEEE, and Tommy Svensson, Senior Member, IEEE IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 60, NO. 9, SEPTEMBER 2012 1

成功实现计算LzehxN算法的程序，本人测试已经通过，性能已基本达到LzehxN算法的性能，需要MATLAB 2009b环境运行，如有问题，欢迎讨论 (The successful implementation of the program to calculate LzehxN algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me )

一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。(A comparison based on the threshold criteria for the particle to handle multi-objective constrained optimization problem, part of the guidelines can keep order value is small and the constraint violation in allowing infeasible solutions within the particles, so as to achieve a feasible solution to the infeasible solution The purpose of evolution a new function of crowding, making the Pareto front in the sparse region and near the border points have a greater value of the congestion function, which is the larger the probability of selection so as to constitute solve multi-objective constrained optimization problems hybrid particle swarm algorithm.)

在matlab环境下利用追赶法解线性方程组的算法实现(Matlab environment in the use of catch-up method of solution of linear equations algorithm)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]