Subspace-Based Speech Enhancement

Subspace Methods for Audio Enhancement - A Technical Overview of Subspace-Based Speech Enhancement Techniques

Subspace-Based Blind Identification and Blind Equalization Algorithms

This research focuses on subspace-based blind identification and blind equalization algorithms, exploring implementation approaches using key matrix decomposition techniques and signal processing methods.

Subspace-Based PAST Multiuser Detection Method

This program implements a subspace-based Projection Approximation Subspace Tracking (PAST) multiuser detection method in DS-CDMA links. The system employs m-sequence spreading and supports both Gaussian and Rayleigh channels. Users can directly execute the code to obtain Bit Error Rate (BER) curves across various Signal-to-Noise Ratio (SNR) conditions. The implementation includes key algorithmic components such as subspace estimation, adaptive weight calculation, and interference cancellation mechanisms.

Subspace-Based Blind Channel Estimation Algorithm for SIMO-OFDM Systems

Implementation of Subspace-Based Blind Channel Estimation Algorithm for SIMO-OFDM Communication Systems