Pseudo-inverse-based hard thresholding pursuit algorithm with momentum: An innovative second-order method for sparse signal recovery

Key Points

• Sparse signal recovery is enhanced by the new algorithm, achieving significant accuracy improvements.
• The method incorporates a pseudo-inverse approach alongside momentum for better convergence rates.
• This innovative second-order method applies hard thresholding techniques to recover sparse signals effectively.
• Implications suggest this method could transform applications in signal processing and data compression.