easy-frft

慢速跳频，调制样式为DPSK(DPSK/FH)，包括信号的发射接收模型，自己写的代码，仅供参考。(Slow frequency hopping, modulation pattern for DPSK (DPSK/FH), including the launch of signal reception model, write your own code, for reference purposes only.)

MIMO技术详细技术 比较经典的讲解，比较经典(MIMO technology to explain detailed technical more classic)

涉及D2D通信领域中，尤其是一种D2D通信中分布式功率控制方法。本发明解决其技术问题所采用的技术方案是：一种D2D通信中基于能效优化的分布式功率控制方法，所述控制方法包括以下步骤。本发明的有益效果主要表现在: (Involving the D2D communication field, particularly a D2D communication in distributed power control method. The invention to solve the technical scheme is adopted by the technical problems: a D2D communication in distributed power control method based on energy efficiency optimization, the control method includes the following steps. Beneficial effects of the present invention mainly displays in:)

Iris Recognition algorithm

research paper on iris recognition using method of moments

aerogenerator model for wind turbine

一个bp的逼近算法(an approximation algorithm bp)

本文详细描述了利用三元一参法客观评估学生学习状况，并用灰色理论对学生成绩走向进行预测，可行性极强。 欢迎广大算法爱好者对次评估系统进行改进，同时也希望从事教育行业并且对数学算法有一定了解的朋友们，可以将此模型应用于初中及高中学生。此模型获得东北三省数学建模联赛二等奖。算法使用Matlab实现，部分给出。 (This paper describes the use of objective assessment of the Act Three students in a learning situation, and using gray theory to predict the direction of student achievement, feasibility strong. Welcome fans of the sub-evaluation system algorithm to improve, but also want to engage in the education sector and have some understanding of mathematical algorithms friends, this model can be applied to middle and high school students. This model of mathematical modeling to obtain Northeast League Award. Algorithm using the Matlab implementation, part of the given.)

推导运动学中杆运动模型的例程，对初学者有一定的价值。(Kinematic motion model is derived in the bar routines, for beginners a certain value.)

此程序用提升法实现第二代小波变换 ％％ 我用的是非整数阶小波变换 ％％ 采用时域实现,步骤先列后行 ％％ 正变换：分裂，预测，更新； ％％ 反变换：更新，预测，合并 ％％ 只做一层（可以多层，而且每层的预测和更新方程不同）(the procedure used to upgrade method is the second generation wavelet transform%% I use a non-integer-order wavelet transform%% using time domain achieved, steps out first go backward%% transformation : split and forecast updates; %% inverse transformation : Update, forecasting, %% off with a layer (which can be multi-storey, but the typical forecast and updating different equation))