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振动原理与分析计算机大作业 求解非线性振动分析，公式根据书中的 用计算方法的4阶 r-k数值方法(Vibration theory and analysis of computer operations for solving large non-linear vibration analysis of the formula calculation method according to the book of 4-order numerical method rk)

现代数字通信系统中的各种调制技术的和高斯白噪传输的matlab实现。(Modern digital communication systems in a variety of modulation techniques and transmission of Gaussian white noise matlab achieve.)

说明：  本人收集的古扎拉蒂（Damodar N.Gujarai）《计量经济学基础》（中英文版）书籍及数据，还有《经济计量学精要》是学习计量经济学及金融分析的不二之选，配合matlab中新推出的计量经济学工具箱更是不错的选择(I collect Guzhaladi (Damodar N. Gujarai) &quot basic econometrics&quot (in English) of books and data, and &quot Essentials of Econometrics&quot is the study of econometrics and financial analysis, the best choice , with the new matlab toolbox of econometrics is a good choice)

为了最大限度地减少能源采集充电通信系统传输完成时间，各 传输调度方案已被提出。然而，他们并没有考虑这个问题，其中一个发射器可能会失败 之前完成传输。为广播与能量收集解决这个问题，传输调度 切换发射器进行了研究。在广播通信系统中包括两个发射器和两个用户。该 发射器获取能量和独立工作交替进行。传输调度问题转化为 最小化传输的完成时间，在能量的因果关系的约束，数据传输的限制，而 发射器的开关约束。发射器的开关被证明发射机不应该停止传输解决 之前切换到其他发射器和切换阈值应当是零。然后，一个最佳的发送策略是 基于对速度区域和发射器的开关机制，早期的作品提出。建议的最佳传输 政策可以达到更大的速度比区域若干种次优的传输策略。( To minimise transmission completion time in energy-harvesting rechargeable communication systems, various transmission scheduling schemes have been proposed. However, they did not consider the issue where a transmitter may fail before completing the transmission. To resolve this issue, transmission scheduling for broadcasting with energy-harvesting switching transmitters is studied. The broadcasting communication system consists of two transmitters and two users. The transmitters harvest energy independently and work alternately. The transmission scheduling problem is formulated as minimising the transmission completion time, under the energy causality constraint, the data transmission constraint, and the transmitter switching constraint. Transmitter switching is addressed by proving that a transmitter should not stop transmission before switching to the other transmitter and the switching threshold should be zero. Then, an optimal transmission policy is proposed based on earl)

本代码使用高斯绝对稀疏信号进行重构，采用的重构算法是SAMP，重构效果好！(This code uses the absolute sparse Gaussian signal reconstruction, reconstruction algorithm uses a SAMP, good remodeling effect!)

包括各种经典功率谱估计方法，如welch、周期图等(Including a variety of classic power spectral estimation methods, such as welch, cycle maps )

matlab based description

fcm kfcm segmentation

DTMF function code of goertzel, it can be applied to any audio file so it is really helpful for others!

通信系统仿真介绍的前面两章节的内容，讲述信号与线性系统和随机过程(Communication system simulation introduced in the previous two chapters, about the signals and linear systems and stochastic processes)