Industrial control systems in Go
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Updated
Sep 10, 2023 - Go
Industrial control systems in Go
User friendly DSP high/low/band-pass windowed sync filter, implemented in C++.
image filtering techniques in python with examples
Image Processing Implementation
Replication of the High-Pass Filter Addition Image Fusion for GRASS-GIS (Python script)
Create a image filtering algorithm and generate hybrid images from two distinct images by filtering them with gaussian filter.
Matlab üzerinde gerçek zamanlı ses sinyallerine FIR ve Adaptiver FIR filtrelerini uygulayarak çıkış sinyaline belirli derecede niceleme yapılarak gösterimi.
Image Filtering(Spatial Domain and Frequency Domain filtering)
Hight-pass filter / Image compression / Stereo disparity / Corner detection
Library of digital filter functions
High Pass Filter for QRP
A lightweight and efficient library for implementing multi-stage (cascaded) digital filters, supporting high-pass, low-pass, band-pass, and band-stop configurations. Ideal for signal processing tasks with customizable filter orders and coefficients.
It is used to make sharp using MPI. It allows high frequency components of the image to pass through and block low frequencies
Repositório dedicado à modelagem e projeto de um filtro passa-alta ativo da topologia Multiple Feedback para a disciplina de Circuitos Elétricos II, curso de Engenharia Elétrica da UFCG
Tracking a QR tag and superimposing an Image and projecting a cube on to it using OpenCV methods
This Qt/C++ desktop app apply some trivial* graphic transformations to raster images.
Frequency Domain Filters are used for smoothing and sharpening of image by removal of high or low frequency components. Sometimes it is possible to remove very high and very low frequencies. Frequency domain filters are different from spatial domain filters as it basically focuses on the frequency of the images. It is basically done for two basi…
Thiết kế bộ lọc FIR thông cao (BTL Xử lý tín hiệu số - XLTHS - PTIT) - FIR High Pass Filter Design in Digital Signal Processing (PTIT Major project)
Implementing histogram equalization, low-pass and high-pass filter, and laplacian blending of images.
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