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Adaptive04
Adaptive noise filter
- 2012-04-27 00:41:12下载
- 积分：1
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colorization
给灰度图像任意着色，利用随机游走算法，色彩空间变换，通过YCbCr色彩空间完成图像着色(Any color to grayscale images using random walk algorithm, color space conversion, the YCbCr color space to complete the image coloring)
- 2012-12-28 10:24:15下载
- 积分：1
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SPA_GUI
SPA(连续投影算法)的打包软件，直接进行SPA算法(SPA (continuous projection algorithm) packaged software, directly SPA algorithm)
- 2021-01-02 17:38:57下载
- 积分：1
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powerSpectrumEstimation_APES
APES算法的频率谱估计
包含1个目标信号和2个干扰信号(Frequency Spectrum Estimation of APES Algorithm
Contains one target signal and two interference signals)
- 2017-04-16 17:49:51下载
- 积分：1
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watermark
基于matlab的水印技术，程序书写的规范，功能齐全(Watermarking technology based on MATLAB, program writing specifications, complete function)
- 2013-03-20 10:35:48下载
- 积分：1
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hydraulicturbine-SMC-sim
水轮机变结构仿真程序以及M文件，S函数编写，PSO优化参数(Variable structure of turbine simulation program as well as M-files)
- 2013-03-29 14:06:36下载
- 积分：1
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Prony-Toolbox
Prony的matlab工具箱，很详细，使用它可以对信号进行prony变换和分析。(Prony matlab toolbox,the signal can be prony transformation and analysis.)
- 2020-06-30 15:00:01下载
- 积分：1
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compression
Image Compression
A collection of simple routines for image compression using different techniques.
BTCODE:
Image compression Using Block Truncation Coding.
PYRAMID:
Image compression based on Gaussian Pyramids.
DCTCOMPR:
Image compression based on Discrete Cosine Transform.
IMCOMPR:
Image compression based on Singular Value Decomposition.
The given codes can be also used in 2D noise suppression.
Notes:
The function conv2fft performs a 2D FFT-based convolution.
Type help conv2fft on MATLAB command window for more informations.
- 2015-01-14 22:49:52下载
- 积分：1
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MATLAB-optimization-calculation
精通MATLAB最优化计算，龚纯 王正林(Proficient MATLAB optimization calculation)
- 2015-03-12 14:31:03下载
- 积分：1
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classical_music_1
MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)
- 2013-09-15 20:25:40下载
- 积分：1
