搜索资源列表
FIR
- 数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir
powerlaw-trans
- power law transformation of an image
easy-GUI-of-image
- 简单的GUI 读人界面，实现图像的灰度反转，对数及幂次变换已经直方图均衡,而且借助sobel算法实现锐化功能-Simple GUI interface to read people, to achieve gray-scale image inversion, logarithmic and power law transformation has been histogram equalization, and sharpening algorithm using sobel function
image_enhancing
- 1.先用LAPLACIAN进行增强 2.用SOBLE进行边缘增强 3.然后将LAPLACIAN*SOBLE SMOOTH 4.将MULTILITION+原图 5.最后对图形进行power-law transformation -1 LAPLACIAN carried enhanced. Edge enhancement using SOBLE 3. Then Laplacian.* SOBLE the SMOOTH 4. MULTILITION+ artwork 5. Fin
spectrum-estimation
- 功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 -Power spectrum estimation is the use of
ImageEnhancement
- 对数变换和 幂函数变换 实现图像增强处理-Log transform Power Law transform Images are excluded due to copyrights.
cpyjx
- Using weighted model nodes in the network strength and weight are power law distribution, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Based on wavelet transform digital watermarking algorithm matlab code.
21
- 利用对数变换进行图像变换 公式：x1=c*log(double(x)+1)(1.Image Enhancement Using Intensity Transformations The focus of this project is to experiment with intensity transformations to enhance an image. Download Fig. 3.8(a) and enhance it using (a) The log t