-
代码
说明： 1、正弦函数 f (t) = K sin(wt +a)
2、矩形脉冲函数 f (t) = u(t) - u(t - t0 )
3、抽样函数
4、单边指数函数 f (t) = Ke -t
5、已知信号 f1(t) = u(t + 2) - u(t - 2)， f 2 (t) = cos(2pt) ，用 MATLAB 绘制
f1(t) + f 2 (t) 和 f1(t)′ f 2 (t)的波形。(such as :
Sine function f (t) = K sin(wt +a)
Rectangular pulse function f (t) = u(t)-u(t-t0)
Sampling function
One-sided exponential function f (t) = Ke -t
Known signal f1(t) = u(t + 2)-u(t-2), f 2 (t) = cos(2pt), draw with MATLAB
The waveforms of f1(t) + f 2 (t) and f1(t)*f 2 (t))
- 2021-03-19 10:39:19下载
- 积分：1
-
icp2
一个外国人写的ICP拼接算法，并且加了注释(the ICP algorithm written by a foreigner )
- 2020-06-29 16:40:01下载
- 积分：1
-
Image fogging
何恺明等人研究出的基于暗通道的经典图像去雾算法，不仅可以还原图像的颜色和能见度，同时也能利用雾的浓度来估计物体的距离。(The classic fog removal algorithm based on dark channel, which was developed by He Kaiming and others, not only can restore the color and visibility of images, but also can estimate the distance of objects by using the concentration of fog.)
- 2020-10-13 15:27:33下载
- 积分：1
-
评估函数
对两张图片进行均值和mse分析，尤其是两张视差图的分析(Mean and MSE analysis of two pictures)
- 2018-05-10 09:29:18下载
- 积分：1
-
picture
说明： 图像边缘检测及图像区域分割、目标检测、目标识别(Image edge detection, image region segmentation, target detection and target recognition)
- 2020-04-04 14:14:27下载
- 积分：1
-
FastICA_2.5
FAST ICA 算法用于ICA实验，可用于人脸识别等领域(FAST ICA algorithm for ICA experiments, can be used in areas such as face recognition)
- 2008-03-26 15:34:20下载
- 积分：1
-
renxiang
对有噪声的图像进行图像复原，通过迭代算法实现此功能(Image restoration for noisy images, this function is implemented by an iterative algorithm)
- 2020-06-18 18:00:01下载
- 积分：1
-
LBP算法程序
MATLAB提取LBP纹理特征源码，可以使用(extract LBP texture features source code in MATLAB, you can run this program directly)
- 2021-04-14 09:08:55下载
- 积分：1
-
gravity
说明： 用重心法实现光斑中心定位，matlab程序(Facula Center Location by the Method of Center of Gravity)
- 2020-06-24 19:00:01下载
- 积分：1
-
main
说明： 以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。
以f = cos(2*pi/256*t) + sin(2*pi/128*t)做为原信号，取原信号f的20%做为输入进行压缩感知重建。(The sparse basis includes discrete cosine transform (DCT) and fast Fourier transform (FFT) as sparse basis, Gaussian random matrix and partial Hadamard matrix as measurement matrix, L1 norm and orthogonal matching pursuit algorithm (OMP) as reconstruction algorithm.
In this paper, the reconstructed signal is reconstructed by using the original sensing signal (sinf * t) as the original input signal (i.e. sinf * t * 2) + 2 * s * t * as the input signal.)
- 2020-12-17 22:00:23下载
- 积分：1
