Q123

FIR数字滤波器广泛应用在数字通信系统中,研究其实现方法具有重要意义。Matlab功能强大,利用Matlab辅 助设计DSP应用程序,可大大缩短DSP应用程序的开发时间。介绍了Matlab和CCS及DSP的连接,说明了利用Matlab辅 助DSP实现FIR数字滤波器的过程,及如何在Matlab环境中调试DSP程序,给出了实现结果,并把该结果和单纯在Matlab 环境下实现结果进行比较,前者效果更好,更具有实际应用价值。 (FIR digital filters widely used in digital communication systems, research methods of their realization of great significance. Matlab is powerful DSP using Matlab-aided design applications, can greatly shorten the DSP application development time. Describes the Matlab and CCS and DSP connections, shows DSP using Matlab support the process of realization of FIR digital filters, and how to debug in the Matlab environment, DSP program, are given to achieve results, and to the results and simple in the Matlab environment, achieved results are compared, the former better, more practical application value.)

基于互信息的图像配准程序。用matlab编写的。有助于理解互信息。(based on mutual information of image registration procedures. Prepared using Matlab. Contribute to the mutual understanding of the information.)

基于Matlab 5.3开发的ofdm仿真程序，能测试基本的ofdm仿真流程并画出波形图。(Developed based on Matlab 5.3 OFDM simulation program that can test the basic OFDM simulation of flow and draw waveforms.)

实现SC-FDMA系统的性能仿真，即单载波OFDM(realize SC-FDMA system，for example SC-OFDM)

说明：  这是一个有关于免疫遗传算法matlab 程序(This is an on immune genetic algorithm matlab program)

说明：  实现4psk调制的源程序，以及对应的在白噪声信道下的系统性能(achieve 4psk modulation source, as well as corresponding white noise in the channel system performance)

此程序为8cpfsk调制解调部分，解调用维特比实现(This program 8cpfsk modem part of the solution achieved is called Viterbi)

分数阶傅里叶变换程序，读取数据文件实现分数阶傅里叶变换，有图形显示。(Fractional Fourier transform procedure, read data files fractional Fourier transform, graphical display.)

(1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。 (3) 使用RANSAC方法，确定变换参数。 (4) 图像融合 ((1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized using SIFT descriptors be described. (2) adjacent to the image feature point matching, and according to the feature vector to eliminate false matching points. (3) using RANSAC approach to determine the transformation parameters. (4) image fusion)

An adaptive median filter to filter an image using median values of the intensity of an image.