5d ago · 3 min read · Signal processing projects are essential for engineering students who want to work with real-time data such as audio, images, and communication signals. These projects focus on analyzing, modifying, a
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Jan 30 · 5 min read · Introduction Qubits evolve under unitary matrices. Gates compose neatly. Circuits scale visually. In theory, adding another qubit is just a tensor product.In practice, quantum computing is an engineering war.This blog documents my attempt to move bey...
Join discussionJan 2 · 11 min read · The Quest I got my hands on an Apple M4 Max MacBook Pro and had a thought: "What if I could build Node.js specifically optimized for this chip? Surely with the right compiler flags, I could unlock massive performance gains!" Spoiler alert: I was most...
Join discussionDec 21, 2025 · 4 min read · Challenge Details Category: Misc / Signal Processing / Audio Description:The security system of CIA vault room is state-of-the-art.There are a large number of pressure-sensitive, temperature-sensitive and audio-sensitive sensors.And the terminal is o...
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Jul 3, 2025 · 2 min read · Rethinking Communication with Image, Speech, and Signal Processing In today’s hyper-connected world, communication with image, speech, and signal processing is redefining how we interact, understand, and respond in real-time. These technologies are u...
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Apr 16, 2025 · 2 min read · Introduction A library is a treasure trove of knowledge, offering insights that go beyond the classroom. Our recent visit to the library for the Fundamentals of Signal and Image Processing lab, conducted by Prof. Suhas Kakde, was an enriching experie...
VSVishesh and 1 more commentedMar 14, 2025 · 20 min read · In today’s world, computers are ubiquitous and generally serve two primary purposes. The first is general-purpose computing, where they handle a wide range of tasks, including running diverse applications and programs. Examples include laptops, deskt...
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Jan 24, 2025 · 2 min read · In this article, we would explore how to design a quantizer for gaussian sources. $$\tau_s = \frac{1}{\pi}\cdot \sum_{m}\phi_s(m)\cdot e^{j2\pi\theta}$$# MSE Optimal Quantizer Design for Gaussian Source import numpy as np from scipy import integrate ...
Join discussionJan 2, 2025 · 10 min read · Introduction During my years of working with digital signal processing, I've found the Fast Fourier Transform (FFT) to be both fascinating and challenging. While textbooks cover the mathematical theory well, they often miss the practical aspects of i...
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