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QPSK调制代码,高斯和瑞丽衰落信道后的信号波形(QPSK　Modulation)

PCA数据降维，利用MATLAB进行开发学习(PCA of data dimensionality reduction, using MATLAB to develop learning)

说明：  巴特沃斯滤波器，可以通过它对受噪声干扰的图像进行平滑处理(Butterworth filter, can be affected by its image noise smoothing)

基于matlab的摄像机标定，并计算摄像机的内外参数。(Camera calibration based on Matlab，and computing Camera parameters. )

说明：  an investigation on use of chaotic sequence in DS-CDMA. The DS-CDMA systems offer physical layer security without the need for a significant increase in computation or power requirements. Nowadays, DSCDMA has been used widely. These systems suffers from multiple access interference because of other users transmitting in the cell, channel inter symbol interference and additive white Gaussian noise. Codes have an effective role in DSCDMA system, so M-sequences; gold sequences have been used as spreading codes in DS-CDMA. These sequences by shift registers and periodic in nature are developed. However, these sequences are not enough and also limit the security. This paper presents an investigation on use of new type of sequences called chaotic sequences for DS-CDMA system. These sequences by chaotic maps are generated.

speech recognition matlab code

关于医学图像处理的matlab实现的代码和报告，包括几种常用的matlab分割方法(Medical Image Processing on the realization of the matlab code and reports, including several commonly used segmentation matlab)

MATLAB_Code 各项异性介质中的传输矩阵方法处理光的传播(MATLAB_Code anisotropic media in the transfer matrix approach to light propagation)

An Improved Smoothed

MATLAB has a wide variety of functions useful to the genetic algorithm practitioner and those wishing to experiment with the genetic algorithm for the first time. Given the versatility of MATLAB’s high-level language, problems can be coded in m-files in a fraction of the time that it would take to create C or Fortran programs for the same purpose. Couple this with MATLAB’s advanced data analysis, visualisation tools and special purpose application domain toolboxes and the user is presented with a uniform environmentwith which to explore the potential of genetic algorithms.