搜索资源列表
自适应滤波
- 基于TMS320C32的自适应滤波程序,已调试通过.可以和低通滤波做比较 观察其优点 开发环境-adaptive filtering procedures, has been through testing. Can low-pass filter and compared the observed advantages development environment
小波变换及滤波
- 实现小波变换对图像的作用, 同时有高通和低通滤波-Achieve the wavelet transform on an image. It also has the function of highpass and lowpass filtering.
对图像进行中值滤波处理的源代码
- 平滑滤波 一般来说,图像的能量主要集中在其低频部分,噪声所在的频段主要在高频段,同时系统中所要提取的汽车边缘信息也主要集中在其高频部分,因此,如何去掉高频干扰又同时保持边缘信息,是我们研究的内容。为了去除噪声,有必要对图像进行平滑,可以采用低通滤波的方法去除高频干扰。图像平滑包括空域法和频域法两大类,在空域法中,图像平滑的常用方法是采用均值滤波或中值滤波,对于均值滤波,它是用一个有奇数点的滑动窗口在图像上滑动,将窗口中心点对应的图像像素点的灰度值用窗口内的各个点的灰度值的平均值代替,如果滑动窗口
spetial_image_enhancement.rar
- 分别通过高斯低通滤波,梯度运算和拉普拉斯算子对图像进行增强。含有GUI操作界面,Through Gaussian low-pass filtering, the gradient operator and Laplacian image enhancement. Contains a GUI interface
CommonFilter_Matalab
- Matlab低通,高通,带通滤波器的设计都有,说明很详细,并且带有实例。-Matlab low pass, high pass, band-pass filter design are to illustrate in great detail and with examples.
gaborfilter
- 高斯函数能构成一个在频域具有平滑性能的低通滤波器。可以通过在频域做乘积来实现高斯滤波。-Constitute a Gaussian function to the frequency domain with a smooth performance of the low-pass filter. Can be done in the frequency domain Gaussian filter to achieve the product.
fft
- 利用傅里叶变换对图像进行降低噪声处理,而且内附有高通和低通滤波功能-Fourier transform
kaiser
- 本matlab函数,实现凯泽窗设计低通、带通、高通滤波器,综合在一个图显示。设计滤波器时,用到的脉冲函数和脉冲响应函数都在压缩包里,所用的频率是数字频率值。-The matlab function, designed to achieve Kaiser window low-pass, band-pass, high pass filter, integrated in a map display. Filter design, the use of the pulse function and
edge_filter_linear
- 1、均值平滑、中值平滑和低通滤波平滑 2、高斯拉普拉斯算子对图像边缘的增强, 3、彩色图像的锐化,-1, the mean smoothing, median smoothing and smoothing low pass filter 2, Laplacian of Gaussian edge enhancement, 3, color image sharpening,
CDib低通滤波
- CDib类的傅立叶变换及一些低通滤波器(理想低通、Butterworth、Gauss等)(Fourier transform of class CDib and some low pass filters)
low_pass_filter.c
- 一阶RC低通滤波器的c语言实现,处理简单的低通滤波,自行设置cutoff频率以及采样频率(First-order Lowpass Filter - c code)
fir_test
- 对输入的原始数据qqqq4444,qqqq4444数据需自己手动输入,进行低通滤波,然后进行快速傅里叶变换,最后算出距离(For input raw data, qqqq4444, qqqq4444 data need to be manually input, low-pass filtering, and then fast Fourier transform, and finally calculate the distance)
DFT
- visual c++写的傅里叶变换,以及在频域实现低通滤波和高通滤波(Fourier transform written by visual c++ and low-pass filtering and high pass filtering in frequency domain)
E2-频域增强
- 一、 计算图象的频谱函数 设计图象120*30/256*256;选用Matlab函数直接调用实现。 二、根据计算证明傅立叶变换的性质 1, 共轭对称性: F(u,v)=F*(-u,-v) ; 三、图象的频域滤波 1, 设计一个指数低通滤波器,对两图象(f1(x,y)为30*30/256*256的图象;f2(x,y)=p3-02图象)进行低通滤波,观察分析空域图象和频谱分布的变化。 四、图象变换比较 利用现有的离散傅立叶变换、离散余弦变换、Walsh-Had
Desktop
- ICA盲源分离,实现对未知混合信号进行盲分离;低通滤波器。(BSS using eigenvalue value decomposition Program written by A. Cichocki and R. Szupiluk X [m x N] matrix of observed (measured) signals, W separating matrix, y estimated separated sources p time delay used in comput
lowpass
- 低通滤波,参数含通带截止频率,阻带截止频率,边带区衰减DB数设置,截止区衰减DB数设置和序列x的采样频率。(Low pass filter, parameters including passband cut-off frequency, stop band cut-off frequency, sideband attenuation DB number, cut-off area attenuation DB number setting and sequence x sampling fr
IIR一阶低通滤波器
- matlab实现带通滤波,傅里叶变换,得到频域信号,带桶处理(Achieve band pass filter, Fourier transform, get frequency domain signal, with bucket processing.)
频率域低通和高通滤波
- 1.学会傅立叶变换方法; 2.使用布特沃斯和高斯滤波器进行低通滤波; 3.使用布特沃斯和高斯滤波器进行高通滤波
lvboeg
- 滤波的例子,包括低通、均值滤波,和简单的维纳滤波、自适应滤波,适合初学者学习。(Examples of filtering, including low-pass, mean filtering, and simple Wiener filtering, adaptive filtering, are suitable for beginners to learn.)
三维高斯滤波程序
- 对三维数据进行滤波的高斯滤波程序,主要是低通滤波,精度较高(Gauss filtering program for filtering 3D data, mainly low-pass filtering, with high accuracy)