Simulation of BOC Signals
Generate simulated BOC signals using MATLAB, perform signal sampling, and conduct spectral analysis using FFT with implementation guidelines.
Signal Spectrum Analysis Using FFT
Performing signal spectrum analysis using FFT (Fast Fourier Transform) in digital signal processing applications including implementation approaches and key algorithmic considerations.
Digital Signal Processing Course Design Report
Digital Signal Processing Course Design Report: Implementing Signal Spectral Analysis and Filtering Using MATLAB
OFDM Signal Generation and Spectrum Analysis
This program implements OFDM signal generation and spectrum analysis, including the insertion of guard intervals with code-level implementation details.
Spectral Analysis Using Classic Periodogram (FFT) on Data in MATLAB
Performing frequency domain analysis on a given data set in MATLAB using the classic periodogram method with Fast Fourier Transform (FFT) implementation
Speech Spectrum Analysis with MATLAB Implementation
MATLAB source codes for speech processing, featuring spectrum analysis algorithms and related audio processing techniques.
Generate Simulated BPSK Signals with Spectrum Analysis
Using MATLAB to generate simulated BPSK signals and performing spectral analysis through FFT implementation, including parameter configuration and frequency domain characterization.
16QAM Modulation and Demodulation Course Project
16QAM Modulation and Demodulation Implementation Code with Constellation Diagram, Spectrum Analysis, and Bit Error Rate Analysis
Spectrum Analysis Techniques: Essential Statistical Methods for Studying Periodic Phenomena
Spectrum analysis techniques serve as the most commonly employed statistical method for investigating periodic phenomena. This approach primarily involves performing data transformations on complex wave systems to decompose them into simple harmonic waves with varying amplitudes and phases, thereby identifying the wave with the maximum amplitude—the dominant frequency of the composite wave. Among various spectrum analysis methods, the Fast Fourier Transform (FFT) algorithm stands out as the most widely used computational technique due to its efficiency in frequency domain conversion.
GUI-Based Time Domain and Spectral Analysis System for Speech Processing
A MATLAB-based speech signal processing GUI that integrates time domain analysis and spectral analysis capabilities with audio recording functionality.