A Square-Root-Free Matrix Decomposition Method for Energy-Efficient Least Squares Computation on Embedded Systems
QR decomposition (QRD) is used to solve least squares (LS) problems for a wide range of applications. However, traditional QR decomposition methods, such as Gram-Schmidt (GS), require high computational complexity and non-linear operations to achieve high throughput, limiting their usage on resource-limited platforms. To enable efficient LS computation on embedded systems for real-time application