-
one
产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128
×32，暗处=0，亮处=100。对其进行FFT：
① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图；
② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度
谱的异同，简述理由；
③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅
度谱，并与FFT(f2)的幅度谱进行比较；
④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显
示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系；
⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和
FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)
- 2013-11-26 16:24:18下载
- 积分：1
-
simulink-of-FH-system
跳频通信的simulink仿真，各模块参数设置有英文论文参考，simulink代码已完成(Hopping communication simulink simulation, parameter settings for each module reference papers in English, simulink code has been completed)
- 2014-03-25 12:28:21下载
- 积分：1
-
模块化光伏离网储能系统设计_赵治国。zip
文章研究了一种模块化的小型光伏离网储能发电系统，该模块化光伏离网储能系统建成后用于偏远山区(This article studies a modular small-scale photovoltaic off-grid energy storage power generation system. This modular photovoltaic off-grid energy storage system is used in remote mountainous regions after it is completed.)
- 2018-03-18 17:13:47下载
- 积分：1
-
MatlabSignal
Matlab et le traitement du signal
- 2010-06-23 19:30:07下载
- 积分：1
-
vod
fractional oder toolbox non funziona
- 2010-05-09 23:47:43下载
- 积分：1
-
SVMtools
提供完整SVM工具包，可供大家进行数据分类处理(provide a complete SVM code)
- 2013-02-23 20:08:57下载
- 积分：1
-
CMA
盲均衡中的常模算法用于抽样判决后的多径效应均衡，显著降低误码率(Multipath equalization Blind equalization algorithm norm for post-judgment sampling, significantly reduce the error rate)
- 2015-10-26 19:17:27下载
- 积分：1
-
蒙特卡罗算法与matlab(精品教程)
蒙特卡洛算法也常用于机器学习，特别是强化学习的算法中。一般情况下，针对得到的样本数据集建立相对模糊的模型，通过蒙特卡洛方法对于模型中的参数进行选取，使之于原始数据的残差尽可能的小。从而达到建立模型拟合样本的目的。(Monte Carlo algorithm is also commonly used in machine learning, especially in reinforcement learning algorithm. In general, a relatively fuzzy model is established for the obtained sample data set, and the parameters in the model are selected by Monte Carlo method so that the residual error of the original data is as small as possible. Thus, the purpose of establishing the model fitting sample is achieved.)
- 2018-05-01 21:21:21下载
- 积分：1
-
solid_reconstruction
基于双目视觉的三维重建,以matlab 语言实现。具有效果分析。(3D)
- 2010-11-23 10:46:17下载
- 积分：1
-
Fisher
说明： 使用Fisher 现行判别函数对给定的样本进行训练，对于两类，Fisher线性判别函数很好做，就是 w = Sw (m1 - m2), 其中：Sw为总类内离散度矩阵， m1, m2, 为两个模式类的均值(Fisher discriminant function using the current sample of a given training for two, Fisher linear discriminant function is well done, that is, w = Sw ' (m1- m2), where: Sw of the total within-class scatter matrices, m1, m2, the mean value for the two pattern class)
- 2010-03-19 11:27:22下载
- 积分：1
