music1

说明：  该代码实现了车牌的定位，利用matlab实现，效果很少而且鲁棒性也很好(The code to achieve the positioning of the plate, using matlab to achieve results and very few good robustness)

多速率信号处理，包括内插、采样和分数阶速率变换(Multi-rate signal processing, including interpolation, and fractional rate conversion)

说明：  在matlab上面实现GAN，能够完成简单的GAN操作。(The implementation of GAN on Matlab can accomplish simple GAN operation.)

随机信号分析实验讲义08试用 实验一 随机信号通过线性系统和非线性系统后的特性分析 实验二 白噪声测试 实验三 白噪声的产生与测试 实验四 窄带信号及包络和相位检波（一） 实验五 窄带信号及包络和相位检波（二） 实验六 利用互相关测试系统单位冲击响应 实验七 白化滤波器的设计 实验八 微弱信号的检测提取及分析 实验九 随机信号的功率谱密度估计 实验十 模拟相关函数测量仪 实验十一 理想白噪声和带限白噪声的产生与分析 实验十二 色噪声的产生与分析 实验十三 窄带随机信号的仿真与分析 实验十四 准正弦信号通过非线性系统 实验十五 平稳随机过程的采样插值 实验十六 希尔伯特变换 实验十七 维纳滤波器设计 实验十八 随机信号的仿真与分析 实验十九 随机信号的调制解调分析 实验二十 随机信号经线性系统并行叠加后分析 实验二十一 随机信号经线性系统串行叠加后分析 实验二十二 随机信号经线性系统串并叠加后分析 实验二十三 窄带信号复检测系统分析 实验二十四 信号积累的检测系统分析 实验二十五 随机信号经同步积累器的分析(Random signal analysis of the handouts 08 trial)

ofdm-qpsk jitiao to the understanding ultra wide band radio fundamentals(ofdm-qpsk jitiao)

一个带有前馈的卡尔曼滤波器matlab程序,写得不错，果断分享。(With a feedforward Kalman filter matlab program, written in good, firm share.)

本文首先推导出过采样滤波器组精确重构的条件, 由于此时所需的约束条件数比临界采 样时少, 因而可以设计出频域衰减特性更好的滤波器组(This paper is derived through sampling filters of exact reconstruction of conditions, due to time constraints required for critical extraction ratio When a small sample, so you can design a better frequency filter attenuation characteristics)

PSO算法，功能强大，可自行替换其中的数据(PSO algorithm, a powerful, free to replace the data)

Advanced Bash− Scripting Guide An in− depth exploration of the gentle art of shell scripting

A fractional Fourier transform (FrFT) based estimation method is introduced in this paper to analyze the long range dependence (LRD) in time series. The degree of LRD can be characterized by the Hurst parameter. The FrFTbased estimation of Hurst parameter proposed in this paper can be implemented efficiently allowing very large data set. We used fractional Gaussian noises (FGN) which typically possesses long-range dependence with known Hurst parameters to test the accuracy of the proposed Hurst parameter estimator. For justifying the advantage of the proposed estimator, some other existing Hurst parameter estimation methods, such as wavelet-based method and a global estimator based on dispersional analysis, are compared. The proposed estimator can process the very long experimental time