Simulation of OFDM System Transmitter and Receiver Signal Spectrum Analysis
Comprehensive simulation of OFDM system transmitter and receiver signal spectrum analysis with constellation diagram evaluation
Extracting Waveform Diagrams, Spectrograms, and FFT-Transformed Spectra from Music Signals
Extracting waveform diagrams, spectrograms, and FFT-transformed spectra from music signals, including code implementation approaches for signal processing algorithms
Cellular Systems Provide Wireless Coverage Through Regional Area Division
Geographic areas are divided into individual cells where cellular systems deliver wireless coverage. Available spectrum is partitioned into multiple channels with each cell allocated a channel set using Frequency Division Duplex (FDD). Frequency utilization occurs between cells with N cells forming a cluster, enabling inter-cluster frequency reuse. Key propagation characteristics (channel parameters) and co-channel cell locations are defined. Parameters include cell radius, path loss exponent, standard deviation of log-normal shadowing in decibels, base station transmit power level, mobile station transmit power level, number of sectors per cell, front-to-back ratio of sectorized antennas, number of instantaneous position groups for simulation, and co-channel interference threshold.
LFM Signal After Matched Filter Processing
The pulse compression effect of LFM signals after matched filtering and their spectral characteristics, which are highly valuable for radar signal processing applications, with implementation insights using correlation operations or frequency-domain filtering.
FM Modulation and Demodulation of Music Signals
Implementation of FM modulation and demodulation for music signals with waveform and spectrum analysis
MATLAB Simulation of OFDM Signal and Its Frequency Spectrum
MATLAB simulation source code for OFDM signals and their frequency spectrum analysis, featuring randomly generated binary sequences as input signals with inserted guard intervals for reliable transmission
Analysis and Processing of Surface Electromyography (sEMG) Signals
MATLAB program for analyzing and processing surface electromyography signals, including spectral analysis, cepstrum computation, power spectrum estimation, and median frequency calculation with algorithm implementations and key function descriptions.
Viewing Waveform Spectra Using Spectrum Scope in DSP Builder
Analyze waveform frequency spectra using the Spectrum Scope in DSP Builder, requiring correct parameter configurations and proper module integration for accurate spectral analysis
FFT Analysis of Periodic Rectangular Pulses and Their Spectrum
This program calculates the bilateral spectrum of periodic rectangular pulses using Fast Fourier Transform (FFT) analysis. The implementation involves signal generation, windowing techniques, and spectral normalization for accurate frequency domain representation.
Chebyshev Window Function and Spectrum Calculation
Implementation programs for calculating Chebyshev window functions and their spectra, Kaiser window functions and their spectra, and other digital filter design techniques