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It gives a great introduction to FPGA-based microprocessor system design using state-of-the-art boards, tools, and microprocessors from Altera/Intel® and Xilinx®. HDL-based designs (soft-core), parameterized cores (Nios II and MicroBlaze), and ARM Cortex-A9 design are discussed, compared and explored using many hand-on designs projects. Custom IP for HDMI coder, Floating-point operations, and FFT bit-swap are developed, implemented, tested and speed-up is measured.  Free Download Embedded Machine Learning with Microcontrollers: Applications on STM32 Development Boards by Cem Ünsalan, Berkan Höke English | 2025 | ISBN: 303170911X | 408 Pages | True ePUB | 8.1 MB  Free Download Embedded Machine Learning with Microcontrollers: Applications on STM32 Development Boards by Cem Ünsalan, Berkan Höke English | 2025 | ISBN: 303170911X | 408 Pages | True PDF | 10 MB  Free Download Cem Ünsalan, "Embedded Machine Learning with Microcontrollers: Applications on Arduino Boards" English | ISBN: 3031694201 | 2024 | 384 pages | PDF | 10 MB This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers and embedded machine learning systems. 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