number-recognition

This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1) + now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! (This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1)+ now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! )

matlab的基于OFDM的LTE信道估计(matlab OFDM-based LTE channel estimation)

This file is very important for student ....

Mie散射算法的实现，用于Mie散射研究和激光探测 (Mie scattering algorithm, for Mie scattering and laser detection)

说明：  利用计算机编程实现加性干扰信号的维纳滤波。将计算机模拟实验结果与理论分析结果相比较，分析影响维纳滤波效果的各种因素，从而加深对维纳滤波的理解。(computer programming additive interference signal the Wiener filter. Computer simulation results with the theoretical results of the analysis, compared Wiener filtering analysis on the factors that effect, so as to enhance the understanding of the Wiener filter.)

Data compression lectures part2

应用于复杂网络分析时采用matlab代码的节点介数(Node betweenness complex network analysis)

仿真4-PAM载波调制信号在AWGN信道下的误码率和误比特率性能，并与理论值相比较。假设符号周期为1s，载波频率为10Hz，每个符号周期内采样100个点。 (Simulation 4-PAM modulation signal in AWGN channel bit error rate and bit error rate performance, and compared with the theoretical value. Assuming symbol period for 1s, the carrier frequency is 10Hz, each symbol period sampling 100 points.)

gas flow excited vibration of Muszynska modle

贪心算法_隐枚举法（0 - 1 整数规划求解）,matlab代码(Greedy algorithm _ implicit enumeration method ( 0- 1 integer programming solver ) ,matlab code)