Joint sparse recovery (JSR) in compressed sensing simultaneously recovers sparse signals with a common sparsity structure from their multiple measurement vectors obtained through a common sensing matrix. In this paper. we present an Armijo-type hard thresholding (AHT) algorithm for joint sparse recovery. Under the restricted isometry property (RIP). https://stilleners.shop/product-category/mud-flap/