tuxiangcuangaifenxingxue

在频域对指纹图像进行增强，也适用于其他图像，在“imread( )”语句中更改您所需增强的图像即可。(In the frequency domain of fingerprint image enhancement, but also to other images, in the " imread (' ' )" statement required to change your image can be enhanced.)

对于给定的结构振动响应数据（时间序列信号）， 该程序可以分解成多个订单这些响应信号 小波子信号，然后计算出分信号能量spectum。 (For a given structural vibration response data (time series), the program can be decomposed into multiple sub-orders for the response signal wavelet signal, and then calculate the sub-signal energy spectum.)

说明：  一组图象与视频处理C/C++代码,该软件包可用于Matlab。包括读取AVI和CIF/QCIF视频序列代码，Canny算子，Harris角点检测，全局阈值算法，动态阈值算法等等。(AP as a video processing with C/C code, the software can be used in Matlab. AVI including reading and CIF/QCIF video sequence code, Canny operator, Harris corner detection, and overall value threshold algorithm, dynamic threshold algorithm and so on.)

总结了matlab与vc混合编程的三种常用方法，并结合了具体的实例，简单介绍了基本的操作(Matlab and vc summarized three common hybrid programming method, and specific examples, a brief introduction of the basic operations)

说明：  matlab链码，计算连通区域周长，基于玉米图像预处理自行编写(matlab chain code to calculate the circumference of the connected region)

Performance analysis of mimo system in Rayleigh Fading Environment for different values of k modulation.

很好的OFDM仿真程序代码，大家一起分享吧，祝大家分享愉快序，希望对大家有用。(OFDM simulation code well, we share it, I wish to share a happy sequence, we hope to be useful.)

GPS和INS组合导航程序，主同步信号PSS在时域上的相关仿真，有PMUSIC 校正前和校正后的比较，实现串口的数据采集，数据模型归一化，模态振动，有详细的注释。( GPS and INS navigation program, PSS primary synchronization signal in the time domain simulation related, A relatively before correction and after correction PMUSIC, Achieve serial data acquisition, Normalized data model, modal vibration, There are detailed notes.)

matlab读取压电式脉搏传感器数据，并发送至串行助手程序(matlab read piezoelectric the pulse sensor data, and sent to the serial assistant program)

写一个MATLAB函数fibo.m来计算Fibonacci数列，其定义如下： fibo(n+2)=fibo(n+1)+fibo(n) 此数列的初始条件如下：fibo(1)=0,fibo(2)=1。(Fibo.m write a MATLAB function to calculate the Fibonacci sequence, which is defined as follows: fibo (n+2) = fibo (n+1)+fibo (n) the initial conditions in this series are as follows: fibo (1) = 0, fibo (2) = 1.)