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.
Log Spectral Amplitude Minimum Mean Square Error Speech Enhancement Algorithm (LSA-MMSE)
The Log Spectral Amplitude Minimum Mean Square Error (LSA-MMSE) speech enhancement algorithm incorporates voice activity detection (VAD) to further improve signal-to-noise ratio (SNR) and delivers excellent noise suppression performance. This algorithm is particularly effective for various types of stationary noise environments.