Signal Processing for Communication Systems
Malus law says how much polarized light gets through two polarizing filters. For single particles of light it becomes a probability, which is the first step toward quantum randomness. This post builds the idea from an everyday analogy, a formula, and a short simulation. No quantum physics background is needed. Why we start with Malus … Read more
Doppler spread and coherence time explained: how speed and carrier frequency set the Doppler shift, how long a channel stays stable, with Python code.
Convert Eb/N0 to Es/N0 and SNR for AWGN BER simulations: definitions, complex baseband noise variance, oversampling notes, Python/Matlab code, and the pitfalls that shift Monte Carlo curves by 3 dB.
Why Excel + Ctrl+F on datasheets hurts – and how SpecsCore builds a citation-backed matrix from your board limits, locally.
Skeptical of ‘Black Box’ AI? We prove that a 1D Convolutional Neural Network (CNN) is mathematically identical to an adaptive FIR filter. Includes Python code to train a CNN to reinvent the Matched Filter and visualize its frequency response.
Practical steps and runnable examples to migrate signal‑processing code from Matlab to Python, with tips for testing, performance, and reproducibility.
Overfitting? Shrink your model! Regularization prevents memorization, enabling true learning & robust success. Discover how. A central problem in machine learning is to develop algorithms that work well both on training data and on new inputs (test data). Most machine learning tasks can be generalized as the estimation of a function (hat{f}(X)) that maps the … Read more
Model distillation, also known as knowledge distillation, is a supervised learning technique that condenses the capabilities and thought processes of a large, pre-trained “teacher” model into a smaller “student” model. This allows the student model to achieve comparable performance to the teacher model, but at a lower cost and with faster performance. Chinese AI lab … Read more
What EVM measures on a constellation, %RMS vs dB forms, and how EVM relates to SNR — with the EVM↔SNR tool.
Key focus : Convolutional codes: Error-correcting codes effective in noisy channels and burst error correction. Know about sliding window & shift registers and how they are used in a convolutional encoder. Linear block codes: shift register Linear block codes, like Hamming codes, are mainly employed in hard decision decoding, utilizing the inherent algebraic structure of … Read more