task1

基于羽田孜模型的预知的路径损耗 基于爱德华兹和德金模型的路径损失预知 基于帕森斯与伊布拉因模型的路径损耗预知(Tsutomu Hata model based on predictable path loss payments based on Edwards and the German model to predict the path loss model based on Parsons and Ibraim predict the path loss)

闻亭公司培训DM642的内部资料一共有五天，里面包含讲解的ppt,文档，开发工具，课堂源码例子等。这是第一天内容.(Wintech DM642 training information, total of five parts, which contains explanations ppt, documentation, development tools, source code examples of class and so on.This is the first part. )

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

完整的C与matlab混合编程的例子，包含很多实例，还有讲解用的ppt，对于想要了解c与matlab混合编程的人很有帮助。(Complete mixed C and matlab programming examples, including many examples, as well as on the use of ppt, to want to know c and mixed programming matlab people very helpful.)

ofdm fast fft algorithm pdf file

svm前向搜索策略程序，用于特征提取，提高运算速度，提高运算精度(svm program before the search strategy for feature extraction, improve processing speed, improve processing accuracy)

1. 在matlab中分析基于分离变量法的解析解； 2. 利用简单迭代法求解，与解析法结论对比，分析求解结果的精确度。分析过程至少包括：在网格尺寸为0.1 m和1 m两种条件下，两次迭代差值最大为10-10时的分析结论； 3. 利用超松弛迭代法分析，选择松弛因子，分析其对收敛速度（即迭代次数）的影响，并确定最优值。分析过程至少包括：在网格尺寸为0.1和1两种条件下，两次迭代差值最大为10-10时，迭代次数随松弛因子的变化，得到对应的最优松弛因子，与经验值（课本165页式子3.7.15）进行对比。(1. Analyze the analytical solution based on the separation variable method in matlab. 2. Using a simple iterative method to solve, compared with the results of the analytical method to analyze the accuracy of the solution. The analysis process at least includes the following conclusions: when the mesh size is 0.1m and 1m, the maximum difference between two iterations is 10-10. 3. Analyze using the relaxation relaxation iteration method, select the relaxation factor, analyze its influence on the convergence speed (ie the number of iterations), and determine the optimal value. The analysis process at least includes the following: when the mesh size is 0.1 and 1 and the maximum difference between two iterations is 10-10, the number of iterations varies with the relaxation factor, and the corresponding optimal relaxation factor and empirical value are obtained ( Textbook 165 pages (3.7.15) for comparison.)

Viterbi algorythm implement for matlab simulink

Floyd的Matlab教程，很简单。。 几行代码而已。(Floyd' s Matlab tutorial, very simple. . A few lines of code.)

该m文件是数字信号处理实验课上的实验2：离散时间傅里叶变换(The m-file is an experimental course on Digital Signal Processing Experiment 2: Discrete-time Fourier transform)