matched_filter

频率估计中的协方差算法的matlab实现(Frequency estimation of covariance algorithm matlab implementation)

利用空间采用数据和慢时间数据采用空时二维处理是阵列天线雷达常用的处理方法。该程序仿真了基本的stap方法(Use of space data and slow-time data using space-time two-dimensional processing array antenna radar approach. The program simulates basic stap methods)

谱减法语音增强。第一行为文件读取，需自行修改输入的语音。(Spectral subtraction speech enhancement. The first line reads the file, need to modify the input voice.)

用matlab自带的聚类函数进行聚类，输入为特征矩阵，输出的是聚类图(Clustering clustering comes with matlab function, input feature matrix, the output is dendrogram)

计算“高位平面图像”的伪Zernike矩（低 6阶），并作为特征。(Computing " high dimensional images," the pseudo-Zernike moments (low order 6), and as a feature.)

讨论了VC++语言和Matlab语言的接口技术，并有具体程序，为二者的交互编程提供了可能。(Discussed VC++ Language and Matlab language interface technology, and there are specific procedures for the two interactive programming possible.)

说明：  采用隶属函数型神经网与模糊控制融合的解耦方法（DMFFCNN）方法实现解耦控制，有文字说明和源代码(Membership functions using neural networks and fuzzy control integration decoupling method (DMFFCNN) method of decoupling control, there are text and source code)

基于matlab的2FSK的调制与解调，内含有源程序代码和详细的解析报告。。。。。。(Matlab-based 2FSK modulation and demodulation, containing the source code and detailed analysis reports. . . . . .)

说明：  ofdma功率分配经典文献 "A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems"的相应MATLAB代码(MATLAB code for the corresponding OFDMA power allocation classic literature "A Low Complexity Algorithm for Proportional Resource Allocation in OFDMA Systems" )

通信的数字化是它能与计算机技术和数字信号处理技术相结合的基础，而实现通信数字化的前提是信源能提供的各种用于传递的消息，例如语音、图像、数据、文字等都必须以数字化形式表示。而信源编码是数字通信系统中的重要组成部分，他是保证信号有效传输的一种重要方式。霍夫曼编码依据字符出现的概率来构造异字头的平均长度最短的码字，有时称之为最佳编码，其优越的性能被广泛使用在数字通信系统中。霍夫曼编码已经成为数据压缩的灵魂算法。本文介绍了无失真编码算法的构造，霍夫曼编码的规则和特点，同时分析了对信源进行优化的方法，最后通过MATLAB仿真来讨论比较二元霍夫曼编码、三元霍夫曼编码以及信源扩展编码的效率，来实现霍夫曼码的优化构造。(The digital communication is it can and computer technology and digital signal processing technology in combination of the base, and realize the digital communication is the premise of source can provide all kinds of used to deliver news, such as voice, video and data and text must take the digital form said. And the source coding digital communication system is the important component, he is to ensure the effective transmission signal is an important way. Huffman coding based on the probability of characters appear to construct different "the average length of the shortest code words, sometimes called the best coding, superior performance is widely used in digital communication system. Huffman coding has become the soul of data compression algorithm. This paper introduces the structure of the encoding algorithm without distortion, Huffman coding rules and characteristics, and analysis of the source of the optimization method, and finally by MATLAB simulation to discuss compares two yu)