Blackfin

About: Blackfin is a research topic. Over the lifetime, 135 publications have been published within this topic receiving 512 citations.

Hardware design of ADSP-BF548 based portable patient monitor

Abstract: This paper studies on hardware design of a novel patient monitor based on one ADSP-BF548 blackfin dsp. The NIBP, 12-lead ECG, SPO2 and body temperature functions are successfully implemented. A 6.4 inch TFT LCD with a touch screen is used as GUI output to display all monitor curves and parameters. Through the convergent capabilities of the blackfin dsp, the patient moitor can store data into NAND FLASH and SD card. The Ethernet, USB and WCDMA communication functions are also realized. Another advantage of this design is the powerful DSP computation performance which can guarantee more complex algorithms into one processor system.

ARRA: Application-guided reliability-enhanced registerfile architecture for embedded processors

Abstract: In this paper, we introduce an Application-guided Reliability-enhanced Register file Architecture (ARRA) to improve the reliability of RF in embedded processors. ARRA proposes a RF micro-architecture which is guided by binary instrumentation for run-time register mirroring. Our experimental results on an ARRA-enhanced Blackfin processor present that on average the power overhead of ARRA is 70% less than that of a partially-ECC-protected RF, while ARRA reduces RF Vulnerability Factor from 35% to 6.9%, and can correct up to three bit-flips errors.

A customizable system for real-time image processing using the Blackfin DSProcessor and the MicroC/OS-II real-time kernel

Abstract: This paper presents a development platform for real-time image processing based on the ADSP-BF533 Blackfin processor and the MicroC/OS-II real-time operating system (RTOS). MicroC/OS-II is a completely portable, ROMable, pre-emptive, real-time kernel. The Blackfin Digital Signal Processors (DSPs), incorporating the Analog Devices/Intel Micro Signal Architecture (MSA), are a broad family of 16-bit fixed-point products with a dual Multiply Accumulate (MAC) core. In addition, they have a rich instruction set with variable instruction length and both DSP and MCU functionality thus making them ideal for media based applications. Using the MicroC/OS-II for task scheduling and management, the proposed system can capture and process raw RGB data from any standard 8-bit greyscale image sensor in soft real-time and then display the processed result using a simple PC graphical user interface (GUI). Additionally, the GUI allows configuration of the image capture rate and the system and core DSP clock rates thereby allowing connectivity to a selection of image sensors and memory devices. The GUI also allows selection from a set of image processing algorithms based in the embedded operating system.

Software embedded implementation of real time non uniform sampling filter

Abstract: The use of digital filters is widely spread in the field of radio receivers. In literature, there is no practical realization of digital filters for non uniformly sampled data in the radio communication context. In this paper we are interested on real time filtering of non uniformly sampled signals using a Blackfin 533 Digital Signal Processor (DSP) as embedded software target. The filtering stage is not preceded by a reconstruction algorithm. As input, the filter requires signal samples and their corresponding non uniform sampling sequence. Obtained filtered data, are analyzed using specific spectrum analysis method based on zero padding and Fast Fourier Transform (FFT).

Optimized Math Functions for a Fixed-Point DSP Architecture

Abstract: This paper presents a method for implementing several high-performance math functions through polynomial approximation on the fixed-point Blackfin ADSP-BF533 architecture. We present a strategy to overcome the performance given by the Blackfin 's C library using a fast emulated floating-point format. We also discuss the methods applied to generate the polynomial approximation for the sine, logarithmic, and exponential functions, as well as the optimization schemes used to implement these functions. This work contributed to a maximum cycle reduction of 85% over the standard math library.