雷达仿真到时域与频域脉压对比

normalizing the sign in matlab

这个也是matlab的工具箱 我上传的这几个都是工具箱 很不错的 都是关于图像方向的(This is a Matlab toolbox I upload these are Toolbox are very good on the direction of the image)

说明：  使用memd对农产品价格时间序列进行分解(decompose by memd, choose chicken price, egg price, pork price, beef price as input ,and then imfs as output.)

主要就是实现L_M优化算法，用matlab写的 转成c该很容易的，用来仿真用的，希望大家给出点意见，第一次上传(err)

this source code is eacpower matlab

projet 1 is very importand

This file is solar array model file used matlab/simulink.

解方程例子，含有很多例子，弄到可不容易，提供参考(Examples of solving equations, containing many examples is not easy to get and provide information)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

DTFT的实现 适用于初学者的适用于初学者的适用于初学者的(Implementation of DTFT)