搜索资源列表
meanshiftprogram
- 均值偏移算法,在图象的平滑和分割方面是一种很有用的处理方法-mean deviation algorithm, the image smoothing and segmentation is a very useful approach
xbryz
- 此代码,可以完成matlab下的小波软阈值图像去噪,可以做不同阈值下的图像去噪,并通过峰值信噪比psnr的比对来说明阈值选取的方法-Wavelet threshold denoising compared soft threshold and hard threshold and the current method of calculating the various thresholds and thresholds approach the performance of function,
dct
- DCT图像压缩算法。1.图象进行归一化 2.显示系数图象 3.重构及显示图象 4.显示误差图象 5.计算归一化图象的均方误差 -DCT image compression algorithm. 1. Images were normalized 2. Shows coefficient image 3. Reconstruction and display of images 4. Show the error images 5. Calculated normalized mean squar
tvnrreversewavelettemp
- wavelet based watermarking with dwt2 function in matlab it s an implementaton of an ieee paper.its a visible watermark it calculates the peak signal to noise ratio and the mean square error
8psk
- 1、 产生等概率且相互独立的二进制序列,画出波形; 2、产生均值为0,方差为1的加性高斯随机噪声; 3、进行8PSK调制,画出波形; 4、进行蒙特卡罗分析; 5、解调8PSK,画出眼图。-1、Produce equal probability and independent of each other binary sequence, draw waveform 2、Generate mean 0, variance 1 of the additive Gaussian ra
matlab
- 自适应的最小均方算法:只要自适应线性组合器每次迭代运算时都知道输入信号和参考响应,选用LMS算法很合适。-Adaptive least mean square (LMS) algorithm: as long as the adaptive linear combiner for each iteration when they know that the input signal and reference response, selection of LMS algorithm is ver
smooth
- 噪声模型 均值与中值 灰度形态学 小波变换 高期滤波 统计方法-Noise model mean and median gray-scale morphological filtering stage wavelet transform high statistical methods
smooth
- 包含各种噪声模型,均值和中值过滤、灰度形态学、小波变换、高斯滤波、统计方法滤波。-Includes a variety of noise models, the mean and median filtering, grayscale morphology, wavelet transform, Gaussian filtering, statistical filtering.
MeanShift_Code
- 均值漂移视频跟踪,一个完整的视频特征跟踪方法基于均值漂移理论。-A complete video feature tracking method based on the Mean-Shift Theory, with GUI.
Introduction-to-Wavelet-Transform
- 小波(Wavelet)这一术语,顾名思义,“小波”就是小区域、长度有限、均值为0的波形。所谓“小”是指它具有衰减性;而称之为“波”则是指它的波动性,其振幅正负相间的震荡形式。-Wavelet (Wavelet) the term, as the name implies, the "wavelet" is a small area, length limited waveform, the mean of 0. The so-called "small" means it is capable
MATLAB
- 滤波器,关于均值和几何滤波器,以及去椒盐噪声的代码-Filter mean and geometry filter, as well as salt and pepper noise code.
High-frequency-emphasis-on-filtering
- 一种将高频强调滤波同直方图均值化结合的图像增强方法,是图像边缘更加清晰。-A high frequency emphasis the filtering mean histogram of the combination of image enhancement methods, the edges of the image is more clear.
wiener
- 维纳正弦信号滤波,可估计最优均方误差。欢迎各位初学者朋友下载学习。-Sinusoidal signal Wiener filter can estimate the optimal mean square error. Beginners welcome all friends to download the study.
CPPSmooth
- 主要是高斯平滑、均值滤波以及中值滤波三大滤波,代码清晰,适合初学者学习。-Mainly Gaussian smoothing, filtering and median filtering the mean of three filter, clear code, suitable for beginners to learn.
codes
- 基于小波变换去噪,包含小基于波变换的均值去噪,计算信噪比程序和平滑函数-Based on wavelet transform denoising, contain small de-noising based on wavelet transform mean, procedures and smoothing function to calculate the SNR
LMS--filtering
- 信号在采集和输送过程中往往会参杂着噪声和干扰,将自适应神经网络与信号处理结合起来,采用最小均方(LSM)算法设计的线性自适应滤波器将信号中的杂波成分滤除。用matlab进行仿真,证实线性自适应滤波器具有良好的滤波功能。-Signal acquisition and delivery process often mingled with the noise and interference, the adaptive neural network combined with signal proc
LMDchengxu
- 采用小波相邻系数降噪,然后用改进的局域均值分解对滚动轴承进行特征提取,得到特征向量-Using adjacent wavelet coefficients of noise reduction, and then use the improved local mean decomposition characteristics of rolling bearing are extracted, get the feature vector
ruilifenbu
- 仿真该瑞利分布各态历经平稳随机信号,仿真计算均值,均方值,方差,再与理论值比较-The simulation of the Rayleigh distribution ergodic stationary random Signal simulation to calculate the mean, mean square value, variance, and then compared with the theoretical value
xiaoboyuzhi
- 各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise
improved-mean-filter
- 该代码是在传统的均值滤波算法上进行的改进算法,更好的保留了图像信息,而且提高了信噪比-The code is to improve the algorithm in the traditional mean filter algorithm, the better to retain the image information, and improve the signal to noise ratio
