Applying some filters from scratch on a noisy image (salt & pepper noise) to remove the noise and apply other sharpening filters (first order derivative filters {perwitt, sobel}) & (second order derivative filters{laplacian , LOG}) for edges detection

An assignment on preprocessing of text including tokenization, stop word removal

Thresholding, Watershed Segmentation, Laplacian Edge Detection, Histogram Equalization, and Filter Application

Quantum Error Mitigation: using Machine Learning This project demonstrates quantum error mitigation techniques using machine learning to improve the reliability of quantum computations in noisy quantum computers. The main goal is to mitigate measurement errors that occur during quantum computation.

Enhance your cheap microphone in realtime under Linux

Computer Vision: 3D based reconstruction of foregrounds in the video onther test with manual calibration of 4 cameras.

Advanved and marketing Airconditioning product

Some Codes and outputs from Signal and Systems

A minimum-mean-square-error noise reduction algorithm implementation with Python

Simple audio transcription module

Simple application to do basic image processing operations

Filter algorithm for noise reduction in multiple-instance classification problems

Statistical analysis of sample values to approximate the final pixel value

Fortran module that reduces the resolution of a polyline

A simple resistive divider network to dampen the output of an audio amplifier 16db.

Implementing Median, Mean, and Max filters for noise reduction.

Finance data denoising with MA, EMA, bilateral filter, AE

reducing shot noise using regional fourier transforms

Removal of random valued impulse noise using DTBDM algorithm - Identifies corrupted pixels in an image and corrects them based on neighboring values using non-linear filtering i.e., Modified decision based median filtering along with an impulse detector. • Displays edge preserving-enhancing abilities resulting in better contrast and color mappin…