mean_and_diff_coder.m

学习通信必不可少的工具simulink的权威书籍，教你如何踏上仿真之路(err)

It gives the simple QPSK modulated signal

多机器人系统的集群控制仿真实现，其中运用势场法实现了集群的稳定(Realization of Cluster Control Simulation for Multi-Robot System)

calculate the approximate entropy of heart rate varibility

matlab code for TEEN routing protocol for WSN

用matlab开发的5个题目的代码，主要是光电综合设计的几个题目(With the development of the five topics matlab code, mainly optoelectronic integrated design of several topics)

Relaying and orthogonal frequency division multiple access (OFDMA) are the accepted technologies for emerging wireless communications standards. The activities in many wireless standardization bodies and forums, for example IEEE 802.16 j/m and LTE-Advanced, attest to this fact. The availability or lack thereof of efficient radio resource management (RRM) could make or mar the opportunities in these networks. This paper therefore provides a comprehensive RRM algorithm for OFDMA-based multi-cellular fixed relay networks in a way to ensure fairness among users with minimal impact on the network throughput (in contrast, pure opportunistic RRM techniques always favor users with good channel conditions

基于matlab的人脸识别分析，参考文献为： [1] X.Tan and B.Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (Matlab-based face recognition analysis, references to: [1] X. Tan and B. Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures)

以Matlab为平台实现图像3*3和7*7空域平滑滤波，附有程序流程图、源代码以及运行结果截图。(In Matlab as a platform for image 3* 3 and 7* 7 spatial filtering, with a process flow diagram, source code and run the result screenshot.)

mbedded Zerotrees of Wavelet transforms (EZW) is a lossy image compression algorithm. At low bit rates, i.e. high compression ratios, most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). The locations where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.