P0301

认知无线电的频谱分析算法及分析研究，自己编写的(Cognitive radio and spectrum analysis algorithm analysis, I have written)

均匀三次B样条曲线插值，定义插值函数，B样条拟合三维曲面(Interpolation of B spline curves)

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)

基于改进差分演化算法的石油层评价指标的特征选择(Feature improved oil layer evaluation based on differential evolution algorithm choice)

遗传算法工具箱，英国谢菲尔德大学编制，可以根据个人需要进行 修改(Genetic Algorithm Toolbox, University of Sheffield, UK establishment, can be modified according to individual needs)

利用函数MadHG生成规则LDPC码的校验矩阵H，其行重为6,列重为3,行数为列数一半(行数越大越好)，H中任意两列没有围长为4的圈，并得到H对应的生成矩阵G，可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)

数字信号处理基于MATLAB的维纳滤波器实现(Wiener filter to realize digital signal processing based on MATLAB)

Matlab函数解析经典教程Analysis of the classic tutorial Matlab function(Analysis of the classic tutorial Matlab function Analysis of the classic tutorial Matlab function)

说明：  关于ARNOLD算法的内容,对了解ARNOLD有参考意义(guanyu arnold suanfa de neirong)

本程序适用于论文metasample-based sparse representation for tumor classification(this code suite for paper metasample-based sparse representation for tumor classification)