signalprocess

averaging filter moving average filter

ESPRIT的谱估计算法，含有自动定阶，设置相应参数即可直接运行。(ESPRIT algorithm for spectral estimation, with automatic set-order, set the corresponding parameters can be directly run.)

卡尔曼滤波的国外论文，详细讲述了卡尔曼滤波的提出背景，以及应用场合，是卡尔曼那滤波的经典论文(kalman filter )

说明：  高斯消元法解矩阵方程组的matlab语言(Gaussian elimination method for solving matrix equations matlab language)

这是图像融合中空间转换的MATLAB代码(This is the image fusion space conversion of MATLAB code)

MATLAB中的基本语法和语句示例代码，MATLAB中基本的知识，具有实用性(MATLAB basic grammar and sentence sample code, MATLAB basic knowledge, practical)

SMULINK model for simulation of communication delay

模拟干涉图的生成，比光学设计软件模拟生成干涉图更加自由灵活(Simulated interferogram generation, optical design software to simulate than the interference pattern generated more freedom and flexibility)

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.

This package is a free collection of Matlab routines for computing wave atom transforms in one, two and three dimensions.