Real and complex sampling are two fundamental ways of capturing signals, each with different implications for bandwidth and spectral efficiency. This article explains how they work, where they’re used, and why complex sampling is often preferred in modern signal processing systems.
Forward Error Correction (FEC) and other coding techniques use specific terms that are crucial for designing robust systems. This article explains the most important terminologies used in these techniques.
Reed–Solomon codes are powerful error-correcting codes designed to handle burst errors by operating on symbols instead of bits. This article explains what it is and how they are used in communication systems.
Forward Error Correction (FEC) digital signal processing technique that enhances data reliability in communication systems by allowing the receiver to detect and correct errors without needing retransmission.
BPSK and QPSK are fundamental digital modulation schemes known for their robustness to noise. Higher-order modulations, such as 16QAM, 64QAM, 256QAM offer higher data rates but are more sensitive to channel conditions. This article explores the trade-offs between noise resistance and spectral efficiency.
Higher-order modulation schemes like 16QAM or 64QAM achieve high data rates but are sensitive to noise. At high SNR, the distance between constellation points is sufficient for accurate symbol detection, reducing errors and enabling reliable communication.
Aliasing occurs when a continuous signal is sampled below its Nyquist rate, causing different frequency components to become indistinguishable. This article explains aliasing with clear examples, diagrams, and insights for signal processing applications.
An introduction to in-phase and quadrature signals and why this representation is useful in digital communications and signal processing.