RF
Implementing a Low-Pass FIR Filter in Python
Learn how to implement a low-pass FIR filter in Python using the scipy.signal library, complete with code and frequency response plots.
Posts tagged: Signal Processing
Showing 20 posts (Page 5 of 10)
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Intermediate Frequency (IF) Calculator and Formula
Calculate intermediate frequency (IF) with our calculator and learn about its formula, definition, and benefits in RF transceivers and heterodyne architectures.
Intermediate Frequency (IF) in RF Systems: Advantages and Disadvantages
Explore the advantages and disadvantages of using Intermediate Frequency (IF) in RF systems. Learn about IF's role in cost, filtering, and receiver design.
IQ Data, Transmit Power, and Power Spectrum Analysis with LabVIEW
Analyze IQ data, transmit power, and power spectrum using LabVIEW VIs. This article provides insights into the LabVIEW code and its application in wireless communication.
IQ Imbalance: Causes, Effects, and Compensation
Explore IQ imbalance (gain, phase, DC offset), its impact on constellation diagrams, and compensation methods in communication systems.
LDM vs TDM vs FDM: A Detailed Comparison of Multiplexing Techniques
Explore the differences between Layered Division Multiplexing (LDM), Time Division Multiplexing (TDM), and Frequency Division Multiplexing (FDM), including advantages and applications.
Low Pass FIR Filter Implementation in MATLAB
Explore MATLAB source code for implementing a Low Pass FIR Filter, including filter design using firrcos and the FDA tool.
Low Pass FIR Filter Verilog Implementation
This article presents a Verilog implementation of a low-pass FIR filter using coefficients generated from MATLAB and converted to Q-15 format.
Low Pass IIR Butterworth Digital Filter MATLAB Code
MATLAB source code for a Butterworth IIR low pass digital filter. Includes filter design, implementation, and visualization of magnitude/phase response.
Low Pass vs. Band Pass Sampling: Key Differences Explained
Explore the differences between low-pass and band-pass sampling techniques, including Nyquist criteria, anti-aliasing filters, and frequency translation.
MATLAB Code for Interpolation and Up-Sampling
Explore MATLAB source code for interpolation (up-sampling) techniques, including exponential vector up-sampling and using built-in functions like `resample` and `interp1`.
MATLAB Code for Simulating Phase Noise Impairment
MATLAB code demonstrating local oscillator phase noise and its impact on constellation diagrams, adapted from 'Digital Front-End Compensation'.
MIMO Technology: Advantages and Disadvantages
Explore the pros and cons of MIMO (Multiple Input Multiple Output) technology, including higher data rates, reduced BER, hardware complexity, and power consumption.
Mini Circuits Directional Couplers: New Offerings and Selection Guide
Explore Mini Circuits' new directional couplers, covering 5 KHz to 18 GHz with 6 dB to 40 dB coupling ratios. Learn about applications and selection criteria for RF testing and measurement.
Minimum Detectable Signal (MDS) vs. Spurious Free Dynamic Range (SFDR)
Explore the differences between Minimum Detectable Signal (MDS) and Spurious Free Dynamic Range (SFDR) in RF receivers. Learn how they measure sensitivity and dynamic range.
Modulator vs. Multiplier: Key Differences Explained
Explore the distinctions between modulators and multipliers, focusing on their function, linearity, and applications in signal processing. Includes equations and examples.
MSK and GMSK: Advantages and Disadvantages
Explore the benefits and drawbacks of MSK and GMSK modulation techniques, including spectral efficiency, SNR, and interference considerations.
MSK Modulation in MATLAB: Code, Explanation, and Results
A comprehensive guide to MSK modulation using MATLAB, including source code, explanations, and expected input/output. Minimum Shift Keying implementation detailed.
MTI Radar: Advantages and Disadvantages
Explore the pros and cons of MTI radar, including benefits like clutter rejection and drawbacks such as blind speeds. Get a concise overview of MTI technology.
Multilateration: A Comprehensive Guide to Positioning
Explore multilateration, a positioning technique using Time Difference of Arrival (TDOA) to locate objects with high accuracy. Learn its applications, advantages, and disadvantages.
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