coherent

matlab de 课程设计报告书 很实用哦，里面有编制好的代码 和图片(just like it)

antanna arrays power gain

在不同信噪比条件下，对于不同调制方式所产生的误码率曲线！(Signal to noise ratio in different conditions, for different modulation generated BER curves!)

如何使用贝叶斯网络工具箱,内容源代码很详细。(how to use the bayes network box)

一个老外写的802.11n无线局域网物理层（基带）simulink仿真模型，支持多种不同的速率。 关于模型的描述可以参见包内说明以及参考文献(Simulink model of 802.11n wireless LAN physical layer (baseband), supporting many diff rates. See the paper describing the model at: Wireless LAN Comes of Age: Undersanding the IEEE 802.11n Amendment by Thomas Paul and Tokunbo Ogunfunmi, IEEE Circuits and Systems Magazine, First quarter 2008, pp. 28-54. 2008. )

说明：  本资源运用Matlab中的计算机视觉技术对视频监控中的运动人体的一些异常行为进行研究分析，涉及到了运动目标检测以及跟踪和人体异常行为检测等几个方面。背景模型的建立则是分别利用了中值滤波法和二值化背景模版建模法，通过帧间差分 来实现不断更新背景模版。在检测运动人体异常行为中，本文在检测运动人体跌倒的异常行为时利用外接矩形来确定运动人体及其质心，并通过定义一些特征算子来把人体行为进行量化，从而判断是否行为异常。(In this paper, we use matlab technology to detect abnormal human movement and video resources. The background model is established by using the median filtering method and the binary background template modeling method, through the frame difference To update the background template constantly. In the detection of abnormal behavior of moving human body, this paper uses the outer rectangle to determine the moving human body and its center of mass, and defines some characteristic operators to quantify the human behavior, so as to determine whether the abnormal behavior.)

extract file and the working is to get dct matrix of 256*256 image which is divide into each 8*8 image block

说明：  Matlab的系统经典辨识，包括二阶和三阶(Matlab system identification classical)

这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。 (This is based on space-time block coding MIMO_OFDM communication system simulation design. This system includes the QPSK modem, IFFT modulation, space-time coding and decoding, symbol-based channel estimation training and other communication module.)

图像处理之人脸识别，基于数学形态学的边界提取(Image processing of face recognition, based on mathematical morphology for edge extraction)