Text Information Extraction Using Hidden Markov Models
Implementation of Hidden Markov Models for Text Information Extraction with MATLAB
Explore MATLAB source code curated for "抽取" with clean implementations, documentation, and examples.
Implementation of Hidden Markov Models for Text Information Extraction with MATLAB
A personally developed comb filter program designed to prevent signal distortion during decimation and interpolation operations, featuring efficient polyphase implementation and anti-aliasing protection.
This project implements Principal Component Analysis (PCA) for facial feature extraction and employs Support Vector Machine (SVM) multi-class classifier for face recognition, complete with an intuitive user interface for image input and processing.
Using 2x decimation as a practical example, this analysis explores the fundamental principles and implementation methods of polyphase filtering. The discussion includes MATLAB code demonstrating how polyphase filtering achieves equivalent functionality to traditional FIR filtering while potentially offering superior performance in specific scenarios, with experimental results validating the approach.
A widely adopted efficient filtering solution in engineering uses CIC (cascaded integrator-comb filter) as the first stage for decimation and low-pass filtering, followed by a standard FIR filter as the second stage. This two-stage approach enables backend devices to operate at lower frequencies with reduced hardware costs and power consumption.
Implementation of variable sampling rate conversion with polyphase filtering. This program demonstrates a complete variable sampling rate conversion pipeline including filter design, interpolation, and decimation processes. The filter design employs window function methodology to determine optimal filter length based on requirements. The implementation compares two convolution approaches: direct convolution versus polyphase decomposition convolution, analyzing their computational efficiency and output quality for waveform processing.
Digital Signal Processing techniques including interpolation, decimation, and combined interpolation/decimation operations - L-fold interpolation, M-fold decimation, and rational L/M sampling rate conversion.
Comprehensive implementation of M-sequence generation and extraction, Gold code and Kasami sequence generation, cross-correlation analysis between these three sequence types, and comparative performance evaluation. Features complete MATLAB code with clear documentation and detailed technical report.
MATLAB implementation of sampling rate conversion techniques including interpolation, decimation, and combined operations with code examples