LPC

reconstruct image with an input image with interference fringe (use fft2, ifft2, angle)

说明：  数值模拟实验，采用蝶形算法利用matlab实现的fft变换，针对指数函数，包含正fft以及逆变换。附带实验报告(Numerical simulation experiments, using butterfly algorithm fft using matlab to achieve transformation, for exponential function, including being fft and inverse transform. Incidental to the experiment report)

基于Matlab编写的MIMO通信系统仿真，代码是在课设的报告；包含数字通信系统 JihOoo仿真流程，实现基本的信道编译码、调制解调等通信模块。学习并实现MIMO空时处理技术学习性能分析的思路和方法，包含 ICzcjie解码算法。(Based on the Matlab MIMO communication system simulation, code is class-based reporting JihOoo contains digital communication system simulation process, to achieve the basic channel coding, modulation and demodulation and other communication modules. Learn and implement ideas and methods MIMO space-time processing performance analysis of technological learning, comprising ICzcjie decoding algorithm)

说明：  :针对遗传算法易陷入局部最优的不足,在标准遗传算法基础上加入了三个新的操作- 复原、重构和录优操作,使改 进后的遗传算法收敛于全局最优,并在此基础上以路边约束、动态避障和路径最短作为适应度函数,提出了动态避障的路径 规划方法。通过实验仿真验证了算法的有效性、准确性和实时性,并与基于以往的遗传算法的路径规划方法进行比较,结果 表明本文提出的方法在产生的路径长度和算法运行时间上都具有更优的性能。(: Genetic algorithm for the lack of easy to fall into local optimum, in the standard genetic algorithm based on the insertion of three new operations- rehabilitation, reconstruction, and excellent operational record, so that the improved genetic algorithm converges to the global optimum, and in this by the roadside on the basis of constraints, dynamic obstacle avoidance and the shortest path as the fitness function is proposed dynamic obstacle avoidance path planning method. Simulation results through experiments the effectiveness of the algorithm, accuracy and real-time, and with previous genetic algorithm based path planning method to compare the results show that the method proposed in the resulting path length and algorithms have a running time better performance.)

8 band kp method calculate the valence band structure, using finite difference method

用遗传算法来对简单的一元函数进行优化，带有GUI窗口，简单方便(Using genetic algorithms to optimize the simple functions of one variable, with a GUI window, easy)

通过学习BP神经网络技术，对手写数字进行识别，基于结构的识别法及模板匹配法来提高识别率。(Through the study of BP neural network technology, digital handwriting identification, structure-based identification method and template matching method to improve the recognition rate.)

COMPARISON OF DIFFERENT MODULATION SCHEMES

使用matlab进行仿真，还有pca降维，kl变换方法进行人脸识别的参考论文(Using MATLAB simulation, and the PCA dimension reduction, the KL transform method for face recognition reference papers)

intersection the polygons. simulation in matlab and show the result in figur. for more information zemmiti@yahoo.fr