Explore MATLAB source code curated for "分析" with clean implementations, documentation, and examples.
A powerful algorithm for human pose estimation that detects and precisely locates human limbs, torso, and head positions, enabling higher-level analysis through coordinate regression and keypoint detection techniques.
This paper introduces an innovative blind source separation technique that analyzes Independent Component Analysis (ICA) stability through controlled noise injection. The method effectively handles noisy environments and non-Gaussian signals while improving separation accuracy and robustness, with implementation insights including noise covariance optimization and stability metric calculations.
MATLAB-based analysis and simulation of coherent integration process for target echo signals, including comprehensive implementation of target signal accumulation with code examples and algorithm explanations.
Using rice.tif as a sample image, this guide demonstrates key techniques for processing and analyzing grayscale images through morphological operations. The workflow involves: removing uneven background illumination from the grayscale image, converting the processed image to binary using thresholding techniques, performing component labeling to identify object properties, and calculating statistical features of detected objects. Code implementations include background correction algorithms, Otsu's thresholding method, and connected component analysis for feature extraction.
MATLAB implementation of network models featuring random networks, small-world networks, and scale-free networks with topological property analysis programs. This toolkit enables rapid generation of diverse network types and comprehensive analysis of complex network characteristics through integrated topology computation functions, offering high code readability and modular implementation.
Grey Relational Analysis for Complex Systems (Commonly Used Modeling Algorithm)
Performing energy spectrum analysis on voice information in speech recognition to obtain spectrograms and statistically analyze frequency characteristics across all audio data.
Handwritten power flow calculation program developed by a senior student at Nanchang University, previously used in coursework, capable of performing comprehensive electrical network analysis
Speech Signal Analysis, Processing and Design. The MATLAB-based voice changer operates by modifying input audio frequencies to alter timbre and pitch, creating perceptually distinct output sounds. Voice changers employ dual-composite modifications of both timbre and pitch characteristics. For self-generated vocal inputs, formant frequency alteration is achieved through resampling techniques, enabling diverse vocal effects.
MATLAB-based course design for voice signal analysis and processing involving recording personal voice signals, signal sampling, time-domain waveform and spectrogram plotting, filter design using window function method or bilinear transformation with frequency response visualization, signal filtering using custom-designed filters, comparative analysis of pre/post-filtering signals, and audio playback with code implementation details.