
Analog vs Digital Signal Processing: Key Differences
Explore the key differences between analog and digital signal processing, their applications, and the conversion processes involved.
Showing 20 posts (Page 2 of 10)
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Explore the key differences between analog and digital signal processing, their applications, and the conversion processes involved.
Explore the differences between analog and digital beamforming techniques, including their applications, advantages, and disadvantages in signal transmission and reception.
Explore the key differences between analog and digital filters, their applications, advantages, and disadvantages in signal processing.
Explore the fundamental differences between analog and digital signals, including their characteristics, advantages, and applications in various technologies.
Explore Amplitude Shift Keying (ASK) modulation using Python. Includes code, explanation of principles, and waveform visualizations for digital data transmission.
MATLAB code for Amplitude Shift Keying (ASK) modulation with plots, equations, and a guide to input and output.
Understand the basics of the Automatic Time Offset Control (ATC) algorithm, including time offset estimation and correction in wireless systems. Learn about coarse and fine estimation methods.
Learn to implement auto and cross correlation in MATLAB, with and without the xcorr function, understand their applications in signal processing.
Explore Python code examples for calculating auto-correlation and cross-correlation, useful for time offset estimation in systems.
Learn the basics of Automatic Gain Control (AGC), an algorithm that monitors the received signal and automatically controls the gain in a receiver, especially in mobile devices.
MATLAB code demonstrating Additive White Gaussian Noise (AWGN) impairment and its effect on constellation diagrams with BPSK, QPSK, 16QAM, and 64QAM modulation.
Learn how to add Additive White Gaussian Noise (AWGN) to a signal in Python using SNR in dB. Includes a Python code example and explanation.
Explore the advantages and disadvantages of beamforming techniques. This article outlines the benefits and drawbacks of beamforming, including increased range and complexity.
Explore MATLAB code for designing Butterworth low-pass and high-pass filters, including implementation details and frequency response plotting.
Explore MATLAB code for generating CCDF curves, essential for RF engineers analyzing Peak-to-Average Power Ratio in RF Power Amplifier design. Includes code snippets and resources.
Explore the fundamental principle of the CDMA RAKE receiver, which leverages multipath signals to reconstruct the original transmitted signal by combining multiple signal paths with appropriate delays.
Explore CMOS op-amps: features, types, advantages, disadvantages, and applications. Learn how CMOS op-amps excel in low-power, high-density ICs.
Compare Convolutional (CNN) and Recurrent (RNN) Neural Networks, their architecture, use cases, and how each network processes data in DSP applications.
Explore the distinctions between coherent and non-coherent MTI radar systems. Learn how they detect moving targets and their applications.
Explore the fundamentals of communication systems in electronics, covering types, components, and applications in wireless and wired technologies.
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