Decode_PCM

256x256 Benchmarks for Image Processing

说明：  灰度共生矩阵MATLAB实现 联合概率矩阵法是对图像的所有像素进行统计调查，以便描述其灰度分布的一种方法。(Gray symbiotic matrix MATLAB joint probability matrix of all the pixel image survey was conducted to describe the distribution of a gray-scale approach. )

实现计算器的功能，matlabGUI,中的加减乘除运算等等，并且设计界面模拟小米计算器(FUNTIONS FOR CALCULATOR USE THE GUI OF MATLAB)

这是用于在matlab中实现从文本文件中读取数据，并写入到access中的程序。(This is used to realize matlab in text file from the read data and write to access the program.)

VC6和MATCOM来开发图像处理程序.pdf(VC6 and MATCOM to develop image processing procedures. Pdf)

Matlab implementation for classic kalman filter predicting linear motion.

Comparison of the performances of the LS and the MMSE channel estimators for a 32 sub carrier OFDM system based on the parameter of Mean square error

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.

关于相关干涉仪测向方法的部分MATLAB代码(direction finding)

说明：  观察高斯序列 的时域和幅频特性。 ①固定p=8，q分别等于2、4、8，观察它们的时域和幅频特性，了解当q取不同值时，对信号序列的时域和幅频特性的影响 ②固定q=8，p分别等于8、13、14，观察p变化对信号序列时域和幅频特性的影响，注意p等于多少时，会发生明显的泄露现象，混叠是否也随之出现？记录实验中观察到得现象，绘出相应的时域序列和幅频特性曲线(Observed Gaussian sequence in time domain and amplitude-frequency characteristics. ① fixed p = 8, q is equal to 2,4,8 respectively, to observe them in time domain and amplitude-frequency characteristics, to understand when the different values of q, the signal sequence in time domain and amplitude-frequency characteristics of ② fixed q = 8 , p is equal to 8,13,14 respectively, to observe the changes in the signal sequence p in time domain and amplitude-frequency characteristics, note that p is equal to the number when the apparent leakage phenomenon, aliasing is also gone? Records of the experiment was observed phenomenon, draw the corresponding time-domain sequence and amplitude-frequency characteristic curves)