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认知无线电系统误码率仿真分析 通过MATLAB编程实现 (The Ber simulation analysis of Cognitive radio system)

图像处理实验，大学生创新实验的测试程序，希望对广大同学有所帮助(Image processing experiments, students test innovative experimental procedures in the hope of the majority of students to help)

data mining agglomerative clustering

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定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)

这是关于雷达杂波的仿真的matlab程序，希望对大家有所帮助(This is on the radar clutter of the Matlab simulation procedures, we hope to help)

一、 本程序采用16QAM调制方式，对一串2进制信源进行调制，用升余弦滚降函数进行基带调制，再调到高频信道；在信道上加入高斯白噪声，运用匹配滤波器解调，画出解调星座图，运用最小欧氏距离译码判决，计算误比特率。(First, the program uses 16QAM modulation, the source of a string of two binary modulation, with the Raised Cosine modulated baseband functions, and then transferred to high-frequency channel in the channel by adding Gaussian white noise, the use of matched filter demodulation, demodulation constellation plot using the minimum Euclidean distance decoding decision, bit error rate calculation.)

this is matlab code for estimating the static linear system(system function is time variable) with Kalman Filter. this program is written by matlab 7.0. Here we want to estimate the below function: this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result. 1- using the Covariance Matrix Reseting in a specefic time. 2-using the RLS with Forget Factor this program is written by matlab 7.0. Here we want to estimate the below function: 1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7 finally,there are plots for showing results.

数字信号处理 一阶自适应最小均方误差预测滤波器(Digital signal processing first-order adaptive minimum mean square error of prediction filter)

关于惯性导航系统传递对准与系统参数误差分析的源代码~谢谢分享(Share on the passing of the inertial navigation system alignment and error analysis of the source code ~ Thank you)