In recent years, it has been witnessed that the systolic array is a successful architecture for
DNN hardware accelerators. However, the design of systolic arrays also encountered many …

Cellular automata are simple models of computation which exhibit fascinatingly complex
behavior. They have captured the attention of several generations of researchers, leading to …

Deep learning has revolutionized pattern recognition, introducing tools that power a wide
range of technologies in such diverse fields as computer vision, natural language …

Current-generation Deep Neural Networks (DNNs), such as AlexNet and VGG, rely heavily
on dense floating-point matrix multiplication (GEMM), which maps well to GPUs (regular …

The mathematical theory developed in this book finds its initial motivation in the modeling
and the analysis of the time behavior of a class of dynamic systems now often referred to as …

Kalman Filtering Page 1 Kalman Filtering Charles K. Chui Guanrong Chen with Real-Time
Applications Fifth Edition Page 2 Kalman Filtering Page 3 Charles K. Chui • Guanrong Chen …

Offering a fundamental basis in kernel-based learning theory, this book covers both
statistical and algebraic principles. It provides over 30 major theorems for kernel-based …

In this paper, the internal model control (IMC) method is applied to AC machine current
control. Permanent magnet synchronous machines and induction machines are considered …

The function of a filter is to transform a signal into another one more suit able for a given
purpose. As such, filters find applications in telecommunica tions, radar, sonar, remote …

Course Syllabus Course Title: Advanced Computer Architecture Page 1 Page 1 of 5
Philadelphia University Faculty of Information Technology Department of Computer Science …