Description: Phase Based Template Matching: Phase information is used for matching the input imagery with the template. Both the images are filtered with canny edge detector. The timing efficiency is introduced by implementing skipping steps while doing correlation. The advantage of Phase based correlation technique is that it shows good response against shift/brightness variation and noise addition i.e. salt & pepper/Gaussian noise [1,2]. Templates includes small portion of cropped from input imagery with gaussian noise introduced in them. Platform: |
Size: 71680 |
Author:zhangxq |
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Description: Implement a Rayleigh fading channel simulator based on the Filtered Gaussian Noise method -Implement a Rayleigh fading channel simulator based on the Filtered Gaussian Noise method Platform: |
Size: 2048 |
Author:陸勁逢 |
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Description: 语音信号的数字滤波处理
加入高斯噪声再滤除,信噪比小于20分贝-Voice signal digital filter handle add further filtered Gaussian noise, signal to noise ratio is less than 20 dB Platform: |
Size: 3072 |
Author:ak |
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Description: Design frequency domain Ideal, Butterworth and Gaussian band pass filters to filter the input image. Use your own grayscale picture as the input image. The filters must be passing frequencies between radius of 30 and 120 frequency components of the Fourier spectrum (30<D0<120).
- input image
- Fourier spectrum of the image
- Frequency domain filter function image
- Band pass filtered image- Design frequency domain Ideal, Butterworth and Gaussian band pass filters to filter the input image. Use your own grayscale picture as the input image. The filters must be passing frequencies between radius of 30 and 120 frequency components of the Fourier spectrum (30<D0<120).
- input image
- Fourier spectrum of the image
- Frequency domain filter function image
- Band pass filtered image Platform: |
Size: 1024 |
Author:mustafa |
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Description: 时变系统的频谱扩展，（信道是平坦的）仿真结果为：滤波后高斯过程的功率谱密度和由滤波器产生的相关高斯序列的时域值-Time-varying system, spread spectrum, (the channel is flat) simulation results as follows: the filtered Gaussian process power spectral density and produced by the filter related to the value of time-domain Gaussian sequence Platform: |
Size: 2048 |
Author:minmin |
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Description: 高斯滤波是一种较常见的滤波方法，它能有效滤除高斯白噪声的影响。-Gaussian filter is a common filtering method can effectively filtered Gaussian white noise. Platform: |
Size: 1024 |
Author:alex |
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Description: 关于kalman滤波的一个比较有代表性的例子，程序中把没有加高斯噪声和加过高斯噪声后进行滤波后的图形用不同颜色的曲线画在了一个图上，便于比较和理解-Kalman filter on a more representative example of the program to add Gaussian noise and processing not been filtered Gaussian noise after the graphic curves of different colors painted on a map, to facilitate comparison and understanding Platform: |
Size: 1024 |
Author:王会彦 |
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Description:
Image Processing: Frequency Domain Enhancement
Generate noisy versions of the cameraman image by adding noise with the following characteristics:
Uniform with mean 40 and standard deviation 20
Gaussian of mean 40 and standard deviation 20
Salt and pepper noise density of 10 percent
Filter the resulting noisy images using:
1. Ideal low pass
with the following values of ro: 50, 30, and 20
2. Butterworth filters
with the following values of ro: 50, 30, and 20
3. Gaussian filters
with the following values of sigma: 30, 20, and 10
Show and label the magnitude spectra of your filters for all the above cases
Show noisy and filtered images for all the above cases
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Image Processing: Frequency Domain Enhancement
Generate noisy versions of the cameraman image by adding noise with the following characteristics:
Uniform with mean 40 and standard deviation 20
Gaussian of mean 40 and standard deviation 20
Salt and pepper noise density of 10 percent
Filter the resulting noisy images using:
1. Ideal low pass
with the following values of ro: 50, 30, and 20
2. Butterworth filters
with the following values of ro: 50, 30, and 20
3. Gaussian filters
with the following values of sigma: 30, 20, and 10
Show and label the magnitude spectra of your filters for all the above cases
Show noisy and filtered images for all the above cases
Platform: |
Size: 5120 |
Author:engineer |
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Description: 用双音频输入重新仿真，实现频谱扩展功能，产生滤波后高斯过程功率谱密度和相关高斯序列时域值-Re-simulation with dual audio inputs, to achieve spread spectrum function, resulting in filtered Gaussian process Gaussian power spectral density and the associated value of time-domain sequence Platform: |
Size: 26624 |
Author:Delia |
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Description: 巴特沃斯带通数字IIR滤波器对加了高斯随机噪声和正弦噪声的语音信号进行滤波，并绘制了两滤波器滤波后的语音信号时域图和频谱图。-Butterworth band-pass digital IIR filter added Gaussian random noise and sinusoidal noise of the speech signal is filtered, and draw a diagram of two filter the filtered speech signal time-domain and frequency spectrum. Platform: |
Size: 1024 |
Author:章离 |
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Description: matlab中值滤波，滤去高斯噪声白噪声等相关噪声信号-matlab median filtering, filtered Gaussian noise, white noise and noise signal Platform: |
Size: 1024 |
Author:robin |
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Description: Rayleigh fading channel based on
the Filtered Gaussian Noise method and
r based on the Sum of Sinusoids method-simulation for Rayleigh fading channel
-Plot the channel output for fm
T = 0.01, 0.1 and 0.5 (t/T =
0 ~ 300)
– Plot the channel output autocorrelation for fm
T = 0.01,
0.1 and 1.0 (fm
= 0 ~ 10) Platform: |
Size: 1024 |
Author:yumg jei |
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Description: 通过观察图像lena_noise.bmp可以看到，该图像主要包含高斯噪声、椒盐噪声等。
通过查阅资料可知，维纳滤波可以很好的滤除高斯噪声，而中值滤波对于椒盐噪声的滤出效果优异，因此本次采用维纳+中值的滤波方式进行图像的去噪处理。
图像常用评价方法有：信噪比、相关系数、清晰度。信噪比较为常用；相关系数 由于滤波会使原图像失去某些细节，因此这种评价方式为参考性指标而非绝对评判标准；清晰度 为图像子块的方差
综合考虑采用图像的峰值信噪比(PSNR)作为评价去噪效果指标(自编PSNR.m函数).-By observing the image lena_noise.bmp can see that the image consists mainly of Gaussian noise, salt and pepper noise. Through access to information shows that the Wiener filter can be well filtered Gaussian noise, and median filter for impulse noise filter out excellent results, so this value using Wiener filtering method+ in image denoising. Image evaluation methods commonly used are: noise ratio, correlation coefficient, clarity. SNR is more commonly used correlation coefficient as filtering the original image will lose some of the details, so this evaluation method as the reference index rather than absolute criteria clarity of image sub-block variance considering the peak signal using image noise ratio (PSNR) as an evaluation index denoising (self PSNR.m function). Platform: |
Size: 64512 |
Author:献诗 |
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Description: 利用Matlab语言编写，高斯窗实现，进行滤波处理，以及用于后续短时傅里叶变换(It is written in Matlab language, implemented by Gauss window, filtered, and used for short time Fourier transform.) Platform: |
Size: 1024 |
Author:Xiaohuoqiu |
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Search - filtered gaussian