svdd

M文件以及simulink产生伪随机码，是M序列，可在扩频通信中应用。(M files and simulink pseudo random code, is the M series, available in the spread spectrum communication applications. )

文件都是文章，全是关于小波神经网络和小波包的，很全。需要的可以下载！(The files are all on wavelet neural network and wavelet packet, very full. Need to be able to download!)

信号稀疏表示是一种新兴的信号分析和综合方法，其目的就是在过完备字典中用尽可能少的原子来表示信号。采用时频原子字典的信号稀疏表示能够有效地揭示非平稳信号的时变特征。信号稀疏表示吸引了研究者的大量关注，这种方法已经被应用到信号处理的许多方面，例如非平稳信号分析，信号编码、识别与信号去噪等。(Signal sparse representation is a new method of signal analysis and synthesis, and its purpose is in over-complete dictionary of atoms using as little as possible to represent the signal. When using frequency atom dictionary signal sparse representation can effectively reveal the time-varying characteristics of non-stationary signals. Signal sparse representation attracted a lot of attention of researchers, this method has been applied to many aspects of signal processing, such as non-stationary signal analysis, signal encoding, recognition and signal denoising.)

说明：  进行数据的预处理，标准化和白化，便于数据的后续分析(Data preprocessing, standardization and whitening, facilitate the subsequent analysis of data)

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，自己独立编写，学习非常值得(Uses the Matlab GUI design to have the input and output function the interface graph, the visibility is very strong, writes independently, the study is very worthwhile.)

说明：  将观测到的原始GPS数据，使用matlab每天求一个平均值，代码中含有实例文件！(Assistant will observe the original GPS data, use matlab to calculate an average value every day, the code contains the instance file!)

说明：  利用多相滤波器完成对音频信号的处理，包括完整的注释。(Polyphase filter complete audio signal processing, including full comments.)

说明：  you should not download this file.

一维卡尔曼滤波在matlab下的仿真 结合阈值判断剔除杂波干扰(A Kalman filter in matlab simulation combined with the threshold value judgment removed the clutter)

本代码是PID在S函数中的实现，但不同之处在于，本代码先把PID变成状态空间表达式，更加易懂，为本人独创。(This code is the PID in the S function, but the difference is that, this code to put the PID into the state space expressions, more understandable, for my original.)