网站首页

chirp

于 2020-10-17 发布文件大小:20KB

 0  215

下载积分: 1 下载次数: 10

我要下载

代码说明：

研究正、负线性调频信号的特性，给出其时域、频域图像，以及频率随时间变化曲线。对于初学雷达信号处理者学习LFM信号有帮助。(Study the positive and negative chirp signal characteristics, given the time domain, frequency domain images, as well as the frequency versus time. It s helpful for beginners who study Radar signal processing.)

文件列表：

chirp_K.m,1578,2013-06-17

负调频时域图形.bmp,80822,2013-03-28
负调频频谱.bmp,80822,2013-03-28

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

Matlab-explain
说明： matlab 从入门到精通，很好的文档，珍藏多年(matlab From Novice to Professional, well documented, the collection for many years)

2011-03-17 17:04:33下载

积分：1
MATLABforpowersystem
说明：关于电力系统的matlab设计的一本书，可以参考。(Matlab power system on the design of a book, you can reference.)

2008-11-13 11:22:00下载

积分：1
linearization_examples1
非线性系统线性化的相关材料,对学习非线性的朋友很有帮助.(nonlinear systems of linear related materials for the study of nonlinear helpful friends.)

2020-08-29 15:08:11下载

积分：1
shiyan
其中nadate和naname是小行星的名称和轨道根数(Of which nadate and naname the name of the asteroid and the orbital elements)

2012-07-18 10:03:17下载

积分：1
final
扭秤法测微小磁场，实验模型需要自己设计。(you can translate chinese into English )

2013-09-14 10:30:09下载

积分：1
grid_world
grid_world example with reinforcement learning

2015-03-14 01:32:36下载

积分：1
matlab-fuc
列出了matlaba最常用的工具箱函数，包括最小二乘函数，样条函数等等(Lists the most commonly used matlaba toolbox function, including least-squares function, and so on spline function)

2009-02-19 10:48:35下载

积分：1
med
最小熵解卷积（MED），是一种自适应滤波器设计方法，可以提取冲击成分(Minimum entropy deconvolution (MED), is an adaptive filter design method that can extract the impact of component)

2013-10-09 15:53:16下载

积分：1
Newtint
牛顿插值多项式，拉格朗日插值多项式，误差分析(Newton interpolation polynomial, Lagrange interpolation polynomial, the error analysis )

2013-11-18 18:10:52下载

积分：1
sons
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.

2020-12-03 13:19:24下载

积分：1

696518资源总数
106215会员总数
5今日下载

chirp

0 个回复

热门标签

热门下载