PAPR

声子晶体线缺陷的程序，自己编写的很好用，给需要做声子晶体方面的同行参考(Phononic crystal line defect in the program, write your own good, need to make a sound sub-crystal counterparts reference)

principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small set of feature images called eigenfaces, which can be considered as points in a linear subspace called “face space” or “eigenspace”

基于 matlab 的 DSP 时间管理器(The DSP-based time manager matlab)

基于matlab的对多项式数字预失真和查找表数字预失真的比较(Matlab-based digital predistortion and of polynomial lookup tables digital predistortion comparison)

This particular code very useful to simulate the antenna array design and very effective

matlab fir chebshev LPF

this is good introduction to matlab

Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstruction resolution and signal-to-noise ratio (SNR) is improved compared to a reconstruction with a fixed basis. Moreover, the algorithm automatically masks the particle, thereby separating it from the background. This eliminates the need for ad-hoc filtering or masking in the refinement loop. The algorithm is formulated in a Bayesian maximum-a-posteriori framework and uses an efficient optimization algorithm for the maximization. Evaluations using simulated and actual cryogenic electron microscopy data show resolution and SNR improvements as well as the effective masking of particle from background

a watermarking project that implemented in Matlab (Simulink). use a WAV file for input and address a output WAV file to save result ,

It is again about modulation techniques