Lyapnov_wolf

There are many compressed sensing (CS) recovery algorithms that have been proposed. Here I list some of them, and provide the corresponding experimental results. Essentially, the recovery algorithms are similar to the sparse coding based on the over-complete dictionary.

bat algorithm for optimization

基于动态规划的检测前跟踪算法中恒虚警概率的理论计算程序(Pre-test based on dynamic programming tracking algorithm in constant false alarm probability calculation procedure)

自适应滤波算法是自适应滤波器实现过程中较为重要的环节,数字信号处理器的出现为数字信号处理算法的 实现和大规模数据的实时处理提供了可能。通过对自适应最小均方算法(LMS) 及其各种改进算法的Matlab 仿真,进行分 析及归纳比较,得出结论,并在此基础上,提出算法的优化方案,以DSP 为平台,用汇编语言对自适应算法进行了描述,最终 以DSP 为平台完成了自适应滤波器的设计。(Adaptive filtering algorithm is an adaptive filter process is more important part of the emergence of digital signal processor for digital signal processing algorithm implementation and large-scale real-time data processing possible. The adaptive least mean square (LMS) algorithm and its various improved Matlab simulation, we analyze the comparison, draw conclusions, and on this basis, the proposed algorithm optimization program to DSP platform, with the assembly Language of the adaptive algorithm is described, the final completion of DSP-platform for adaptive filter design.)

tridiagLU Obtain the LU factorization of a tridiagonal matrix

This program is used for simulation signal mean square error of the Kalman filter

matlab gui, 可在一个窗口中浏览大图带滚动条。(matlab gui, can browse in a larger window with a scroll bar.)

说明：  带通滤波。该程序用matlab实现梯形窗的带通滤波，可以直接调用(Band-pass filter. Trapezoidal matlab implementation of the program window with a band-pass filter, can be called directly)

MAT4 MAT4 MAT4 MAT4

Code for Intracluster Device-to-Device Relay Algorithm With Optimal Resource Utilization