Search - sigma filter

[Algorithm] LabVIEW CIC Filter for 1bit PDM

Description: LabVIEW編寫之多階 Cascaded Integrator Comb Decimation Filter, 用於解調1bit PDM 數字資料流, 還原成時域波形, 程式一併產生頻域波形及SNR, THD分析. 1bit PDM 數字流常由Delta-Sigma ADC產生, MEMS數字麥克風亦輸出此格式數字流. 程式版本: LabVIEW 2009 with S&V module, Digital Filter toolkit.
Platform: | Size: 587134 | Author: kbxkbx | Hits:

[VHDL-FPGA-Verilog] FIR低通滤波器部分模块

Description: 一个FIR低通滤波器,最小阻带衰减-30db,带内波动小于1db．用MAXPLUS2设计与仿真。-This is a FIR LPF, with-30dB in stop-band and sigma is less than 1dB. It is designed and simulated on MAXPLUS2.
Platform: | Size: 5120 | Author: 吴健宇 | Hits:

[Windows Develop] reply_1_855734

Description: // Canny算子 void Canny(LPBYTE pGray, SIZE sz, double sigma, double dRatLow, double dRatHigh, LPBYTE pResult) { //经过高斯滤波后的图像 LPBYTE pGaussSmooth pGaussSmooth = new unsigned char[sz.cx*sz.cy] //x方向导数的指针 int *pGradX pGradX = new int[sz.cx*sz.cy] //y方向 int *pGradY pGradY = new int[sz.cx*sz.cy] //梯度的幅度 int *pGradMag pGradMag = new int[sz.cx*sz.cy] //对原图高斯滤波 GaussianSmooth(sz,pGray,pGaussSmooth,sigma) //计算方向导数和梯度的幅度 Grad(sz,pGaussSmooth,pGradX,pGradY,pGradMag) //应用非最大抑制 NonmaxSuppress(pGradMag,pGradX,pGradY,sz,pResult) //应用Hysteresis，找到所有边界 Hysteresis(pGradMag,sz,dRatLow,dRatHigh,pResult) delete[] pGradX pGradX = NULL delete[] pGradY pGradY = NULL -//Canny operator void Canny (LPBYTE pGray. SIZE sz, double sigma, double dRatLow. double dRatHigh. LPBYTE pResult) (//after Gaussian filtering of images LPBYTE pGaussS mooth unsigned pGaussSmooth = new char [sz.cx* sz.cy]// x direction derivative indicators pGradX pGradX int* = new int [ sz.cx* sz.cy]// int* y direction pGradY pGradY = new int [sz.cx* sz.cy]// gradient magnitude int* pGradMag pGradMag = new int [sz.cx* sz.cy]// maximum Gaussian filter to GaussianSmo oth (sz, pGray, pGaussSmooth. sigma)// calculate derivative and the gradient range Grad (sz. pGaussSmooth, pGradX, pGradY. pGradMag)// non-application of the biggest inhibition NonmaxSuppress (pGradMa g, pGradX, pGradY, sz, pResult)// Application Hysteresis, find all border Hysteresis (pGradMag, sz, dRa
Platform: | Size: 54272 | Author: 王学金 | Hits:

[matlab] sigma_delta

Description: filter design sigma delta filter-filter design sigma delta filter
Platform: | Size: 51200 | Author: 岳颀 | Hits:

[Other] cicmodule

Description: 一个3阶的CIC内插滤波器，可作为delta sigma DAC升采样率模块，用于半带滤波器后。-a three bands CIC interpolation filter, as delta sigma DAC sampling rate or module for the half-band filter.
Platform: | Size: 1024 | Author: 老杜 | Hits:

[Other] cic

Description: hogenauer cic滤波器的算法的研究及其与在fpga中的实现，简明易懂。-hogenauer cic filter algorithm and its relationship to the FPGA in the realization of easy to understand.
Platform: | Size: 257024 | Author: 岑楠 | Hits:

[matlab] delsig

Description: 高阶sigma-delta调制器设计matlab工具包, 半波带滤波器设计工具包，内有使用说明-High-order sigma-delta modulator design matlab toolkit, half-wave band Filter Design Toolkit, which has the use of
Platform: | Size: 549888 | Author: 张鸿 | Hits:

[Special Effects] GaussianFilterTest

Description: Gaussian Filter 高斯平滑滤波器，自己用C++写的滤波器类，用于其他处理操作前平滑噪声用。设定Sigma值，可以调整平滑效果。下载包包含完整的Visual Studio 2005测试项目。 <plumcore>-Gaussian smooth filter
Platform: | Size: 2019328 | Author: PlumCore | Hits:

[matlab] UKF

Description: 自己写的UKF滤波程序，使用2n+1Sigma点采样-UKF filter written by myself, using 2n+1 Sigma-point sampling
Platform: | Size: 3072 | Author: ZHUANG | Hits:

[Windows Develop] 2n_ukf

Description: 比较特殊的unsented 卡尔曼滤波器只采用了2n个sigma points而不是2n+1 减少了运算时间-2N sigma point kalman filter
Platform: | Size: 157696 | Author: chai | Hits:

[Algorithm] ukf

Description: The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF.
Platform: | Size: 2048 | Author: alazio | Hits:

[Graph program] sigmafilter(3x3)

Description: sigma filter:图像去噪，其中包括快速去噪算法函数，结构元固定为3x3大小的块。-sigma filter: the realization of fast image de-noise algorithm.
Platform: | Size: 6144 | Author: 程敏 | Hits:

[Software Engineering] audiosample

Description: 适用于音频过采样DAC的插值滤波器的设计一种通用便携式数字音频系统sigma-delta DAC中的插值滤波器。-Over-sampling DAC for audio interpolation filter design a general-purpose portable digital audio systems in the sigma-delta DAC interpolation filter.
Platform: | Size: 825344 | Author: 王楚宏 | Hits:

[matlab] sppf

Description: 粒子滤波算法:Sigma-Point Particle Filter 算法（SPPF）用于非线性滤波估计问题，例如：导航，定位，跟踪等等应用-Particle filter algorithm: Sigma-Point Particle Filter algorithm (SPPF) estimation problem for nonlinear filtering, such as: navigation, positioning, tracking, and so on,for application
Platform: | Size: 3072 | Author: jery | Hits:

[matlab] activeContoursSnakesDemo

Description: 本演示实现了主动轮廓模型由Kass等人提出。要运行它的图形用户界面 1。基于MATLAB型引导提示。 2。关于“到现有的图形用户界面，点击” 3。选择在与本文件相同的目录snk.fig文件 4。按一下上方的绿色箭头启动图形界面一旦GUI已经启动，您可以通过使用蛇 1。点击“新形象”，并加载输入图像。提供的样品图像。 2。平滑参数设置“西格玛”或保留其默认值并点击“过滤器”。这将平滑图像。 3。只要你点击“过滤器”，头发会出现交叉，用他们和你左击鼠标，您可以选择在图像上的初始轮廓的位置。会出现一个红色圆圈到处您单击并在多数情况下，你应该单击对象周围的一切你想要的部分。最后一点，必须挑选使用右键单击，以阻止更多的积分为MATLAB的要求。 4。设置各种蛇参数（在能源方面的相对权重的蛇目标函数）或离开它们的默认值，然后按一下他们“迭代”按钮。蛇会出现和移动，因为它收敛到它的低能量状态。-This demo implements the Active Contour Models as proposed by Kass et al. To run it with GUI 1. Type guide on the matlab prompt. 2. Click on "Go to Existing GUI" 3. Select the snk.fig file in the same directory as this file 4. Click the green arrow at the top to launch the GUI Once the GUI has been launched, you can use snakes by 1. Click on "New Image" and load an input image. Samples image are provided. 2. Set the smoothing parameter "sigma" or leave it at its default value and click "Filter". This will smooth the image. 3. As soon as you click "Filter", cross hairs would appear and using them and left click of you mouse you can pick initial contour location on the image. A red circle would appear everywhere you click and in most cases you should click all the way around the object you want to segment. The last point must be picked using a right-click in order to stop matlab for asking for more points. 4. Set the various snake paramete
Platform: | Size: 333824 | Author: zhou | Hits:

[Windows Develop] ImageProcessing

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 - 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 | Hits:

[matlab] TP-matlab

Description: Question 1 Question 2 Question 3 3-a) Gaussian filtering with different values ecrats types of noise Gaussian 3-b) Gaussian filtering with different values ecrats types of noise pulse Question 4 4 - a) Median filtering with different window sizes of a noise Gaussian 4-b) median filtering with different window sizes of a noise pulse Question5 5-a) sigma filter applied to a Gaussian noise 5-b) sigma filter applied to an impulse noise 6 - Conclusion -Question 1 Question 2 Question 3 3-a) Gaussian filtering with different values ecrats types of noise Gaussian 3-b) Gaussian filtering with different values ecrats types of noise pulse Question 4 4 - a) Median filtering with different window sizes of a noise Gaussian 4-b) median filtering with different window sizes of a noise pulse Question5 5-a) sigma filter applied to a Gaussian noise 5-b) sigma filter applied to an impulse noise 6 - Conclusion
Platform: | Size: 855040 | Author: Anis Guermazi | Hits:

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