Airy Phase

DJIKSTRA ALGORITHM IMPLEMENTATION

果蝇算法实现路径查询，在栅格地图中，通过改变参数调节路径平滑度(The FOA implements path query. In a grid map, the smoothness of the path is adjusted by changing the parameters.)

说明：  一个对流方程的后差分格式算例，使用matlab编写，为理解差分格式(An example of post difference scheme for convection equation)

adc m file continuous time signal converted to discrete time signal

关于MATLAB的图像消噪程序，很有用的(MATLAB image denoising procedure, useful)

Curvature estimation of curve

MATLAB 编程问题 大家可以交流下 加油啊 好东西(MATLAB programming problem we can exchange, under)

MATLAB function to calculate combination

MC-CDMA系统的简要介绍和系统的MATLAB 仿真性能实现(the generalized analysis of MC-CDMA system and realization using MATLAB code.)

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.