digital_modulation

说明：  实现卡尔曼滤波，可以看出，滤波过程是以不断地“预测—修正”的递推方式进行计算，先进行预测值计算，再根据观测值得到的新信息和kalman 增益（加权项），对预测值进行修正。由滤波值可以得到预测，又由预测可以得到滤波，其滤波和预测相互作用，并不要求存储任何观测数据，可以进行实时处理。(Kalman filtering, can be seen, the filtering process is constantly &quot forecast- Fixed&quot recursive manner calculated to predict the value of the first, and then according to the new information should be observed and the kalman gain (weighted items), on predictive value of the amendment. Value can be predicted by the filter, but also can be filtered by the forecast, and its interaction filtering and prediction, does not require the storage of any observational data, real-time processing.)

降低ofdm中峰均比的方法slm的matlab源码 (PAPR reduction method in ofdm slm of matlab source)

考虑你在哪里不同的传感器，桥上两侧的汽车造成的振动记录收集数据的情况。当你分析这些信号，则可能需要对齐。假设你有3个传感器以相同的采样速率工作，他们是造成同一事件的测量信号。(Consider a situation where you are collecting data different sensors, recording vibrations caused by cars on both sides of a bridge. When you analyze the signals, you may need to align them. Assume you have 3 sensors working at same sampling rates and they are measuring signals caused by the same event.)

该代码为用gabor变换算法提取图像的纹理特征，用matlab编写，可应用于基于纹理的图像检索系统。其中还包含一篇gabor变换相关的文献(The code for the transformation algorithm using gabor texture features extracted using matlab preparation, can be applied to image retrieval system based on texture)

在opnet软件平台上对无线通信进行了建模仿真，对于学习opnet的无线管道建模有很大的参考价值(Opnet software platform in the wireless communications on the modeling and simulation, learning opnet modeling of wireless channels has great reference value)

说明：  提取短时能量，短时过零率，清音/浊音自相关函数(Extraction of short-term energy, short-term zero crossing rate, voiceless/voiced autocorrelation function)

这是一个基于MATLAB的Lyapunov指数计算方案，在混沌预测等方面会很有用。(This is a MATLAB-based Lyapunov index calculation program, the chaos and the prediction would be useful.)

数据频域分解法，可能不是很全面，可以利用的这个方法的代码很少，本人也是从网上找的，可能不好理解，大家看看参考把(Data in the frequency domain decomposition method, may not be very comprehensive, code can use this method rarely, I also find from the Internet, you may not understand, we look at the reference to)

随机共振模型是检测微弱信号，近期流行的算法，效果不错，从事微弱信号检测和提取的可看下(Stochastic resonance model is to detect weak signals, the recent popular algorithms, good effect, engage in weak signal detection and extraction can look)

LDPC编译码算法，研究编码效率、帧长与吞吐量的三维关系，且添加了无编码是的比较关系图。(LDPC encoding and decoding algorithms, the study coding efficiency, the three-dimensional relationship of the frame size and throughput, and add non-coding comparison diagram.)