LTE_CRC

基于MATLAB的递推最小二乘法辨识与仿真，很实用(MATLAB-based parameter identification and simulation, very useful)

annlyap This M-file calculates Lyapunov exponents with minimum RMSE neural network.

自适应matlab程序代码，在matlab软件中运行，适合初学者学习使用。(Adaptive matlab code in matlab software to run, suitable for beginners to learn to use.)

用matlab实现的朴素贝叶斯分类源代码，希望对大家有些帮助(Using matlab realize the Naive Bayesian Classifier source code, in the hope that some U.S. help)

德国的雷达大牛,FHR实验室的 J.H.G Ender 在Signal Processing上有一篇文章(German radar cattle, JHG of FHR Laboratory of Ender in an article in the Signal Processing)

雷达回波，线性调频信号，数字下变频，匹配滤波(Radar, chirp signal, digital down conversion, matched filtering)

此源码实现DOA估计中的TCT算法，保证出结果。 (DOA realize that this source is estimated in the TCT algorithm, to guarantee the result.)

分别用最邻近插值算法和双线性插值算法在matlab上实现图像的缩放.word文档。附有算法原理以及实现效果。(Image scaling using the nearest neighbor interpolation algorithm and bilinear interpolation algorithms were implemented on matlab)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

蚁群算法优化PID控制器,采用三种评价指标函数IAE、ITAE、ITSE来进行对比分析.(Ant colony optimization algorithm PID controller, using three evaluation function IAE, ITAE, ITSE for comparative analysis.)