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Modeling Variable Annuities with MATLAB

基于拉格朗日插值法的可变分数延时FIR滤波器设计(Lagrange interpolation method based on variable fractional delay FIR filter design)

image enhancement using fuzzy logic

部分激光经过外腔反馈回激光器，产生扰动，并调节反馈光能量 实现混沌光输出(Part of the external cavity laser is fed back through the laser, produces disturbances, feedback and adjust the light output of the light energy of Chaos)

这是一个简单的数据生成器，可以生成0到1之间的n维数据(This is a simple data generator can generate 0 to 1 between the n-dimensional data)

说明：  matlab dct－lms自适应算法仿真例子，该例子做了dct－lms和lms的比较。(Matlab Extra-LMS adaptive algorithm simulation example, the example done Extra-LMS and LMS comparison.)

This is a complex model of a wind turbine.

frequency signals with output.

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.

Cooperative spectrum sensing