Noise Compression for Chaotic Sequences
A noise compression program for chaotic sequences primarily based on Principal Component Analysis (PCA) method, demonstrating excellent denoising performance by removing 100% noise from simulated signals.
Explore MATLAB source code curated for "模拟信号" with clean implementations, documentation, and examples.
A noise compression program for chaotic sequences primarily based on Principal Component Analysis (PCA) method, demonstrating excellent denoising performance by removing 100% noise from simulated signals.
Beginner-friendly analog signal phase modulation program featuring detailed explanations, algorithm descriptions, and ready-to-run MATLAB code with error-free implementation
MATLAB-based generation of various analog signals including step signals, sine functions, trigonometric functions, with code implementation examples
NI-DAQ card configured for data acquisition with rapid single-channel analog signal triggering, where input data is programmatically stored in a structured data.txt file for analysis
This graduation project employs MATLAB's Simulink modeling and simulation tool to simulate communication principles experiments. As the first part of a series, it includes simulations of analog signal linear modulation/demodulation (AM, DSB, SSB) processes, scrambling and descrambling experiments, and low-pass signal sampling theorem verification. The paper covers MATLAB fundamentals, Simulink operation methods, and their applications in communication systems, with brief introductions to the underlying principles of each simulated experiment. Key implementation approaches involve using Simulink blocks for signal processing, modulation/demodulation algorithms, and sampling rate configuration. This project provides preliminary exploration for constructing a virtual laboratory for communication principles.
Digital conversion of analog signals through PCM quantization and Huffman encoding
This program performs analog signal digitization through PCM (Pulse Code Modulation), converting sampled values into 8-bit PCM codes, which represents the predominant encoding methodology in modern voice coding systems
Implement spectral peak search with the MUSIC algorithm to identify peaks in the spatial spectrum of simulated signals, featuring eigenvalue decomposition and pseudo-spectrum computation techniques.
Converting analog signals to digital format for efficient signal processing, including implementation approaches using ADC components and digital signal processors