The-simulation-of-OFDM-system

各城市间的距离的蚁群算法，很好的资料，大家会喜欢的(The distance between the cities of the ant colony algorithm, very good information, everyone will like)

LSVMK Langrangian Support Vector Machine algorithm LSVMK solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.

程序先进行卷积编码，然后进行viterbi译码，程序有纠错功能，中间出现误码，程序解码时会自动纠正(Convolution coding program first and then viterbi decoding program has error correction, the error appears in the middle, when the program will automatically correct decoding)

Direct Methods for Stochastic Search in matlab

将分布式检测器的概念和雷达联网的性能结 合在一起,从而可以得出在不同雷达布站和不同目标起伏条件下信号检测性能。此性能可以对 雷达布站方法和比较单、多站雷达性能研究都带来益处。 (In the paper, assume that the detection performance (such as detection probability and false alarm probability) in multistatic radars is given on condition:target movements, fluctuating tar- gets and different positions of the radars. )

在matlab语言中，采用遗传算法求多目标优化，文件里面有相关的pareto图(In Matlab language, the genetic algorithm is used to achieve multi-objective optimization. There are related Pareto graphs in the file)

说明：  小波消噪，采用“db4”母小波函数进行三层分解(Wavelet de-noising, using &quot db4&quot mother wavelet function triple decomposition)

地震信号处理，虚同相轴方法预测层间多次波，将数据分成上下两部分，利用相关和褶积的原理预测出层间多次波。预测信号和原始信号在相位和振幅上存在差异，用L1范数匹配法进行匹配，其中，提供了两种方法解病态方程，分别为高斯-赛德尔方法和正则化方法。(Seismic signal processing, predicte internal multiples by construct virtual events .The data is divided into two parts, using the principle of correlation and convolution to predicte multiples. There are differences between the prediction signal and the original signal on the phase and amplitude, so we use the L1 norm method to match the singal.We provide two methods for solving ill equation, respectively Gauss- Seidel method and regularization method.)

说明：  基于PSIM软件，在buck电路设计整个过程。将每一个部分分开，单个分析，最终实现buck电路DC-DC.(PSIM-based software, the whole process in the buck circuit design. To separate each part, a single analysis, and ultimately buck circuit DC-DC.)

块状导频信道估计 对于基础学习有很好的帮助(Massive pilot channel estimation based learning for good help)