FPGA-BASED IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS PDF
FPGA-based implementation of complex signal processing systems / Roger Wood [et al.]. from ftp://resourceone.info pdf. FPGA-based. Implementation of. Signal Processing. Systems. Roger Woods. Queen's University, Belfast, UK. John McAllister. Queen's University, Belfast, UK. An important working resource for engineers and researchers involved in the design, development, and implementation of signal processing.
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An important working resource for engineers and researchers involved in the design, development, and implementation of signal processing systems. The last . Roger Woods is currently a Professor in the School of Electrical and Electronic Engineering at Queen's University, Belfast and his main. Attend this workshop and learn: a brief introduction to Digital Signal Processing ( DSP) systems. a review for technologies for implementing.
An on board real time digital signal processing system is designed using FPGA. The platform can decode process of various kinds of digital and analog signals simultaneously. The design trend in this card is towards small size, high integration and fast real time processing. The project introduces many challenging issues, which are being addressed in turn with different prototype designs. DSP on the other hand gives a guaranteed accuracy and essentially perfect reproducibility Rabiner and Gold In addition, there is considerable interest in merging the multiple networks that transmit these signals,This provides a strong motivation to convert a wide range of information formats into their digital formats.
Microprocessors, DSP micros and FPGAs perform a suitable platform for processing such digital signals, More recently,the field-programmable gate array FPGA has been proposed as a hardware technology for DSP systems in many new designs and applications for a variety of reasons but primarily because of their extreme-high performance and flexibility.
This is particularly true now that FPGAs have integrated gigabit serial communications, memory interfaces, immersed processors, and a wide range of available core firmware modules. For that purpose a high speed system is being developed that not only delivers high performance, but also a high degree of flexibility that is not commercially available. To limit DOI : The analog-to-digital converter ADC is the key component because it bridges the gap between the analog physical world and digital logic world.
It contains a high speed bit sampling ADC, a resistor input scalar that allows various input ranges, an internal conversion clock, error correction circuits, and both serial and parallel system interface ports. In addition, newer parts, for instance Xilinx Virtex-4, have internal monitoring capability temperature, voltage and current accessible via the JTAG port. Data from the logic analyzer was transferred to a computer using hypertext terminal for offline processing.
After checking the functionality of all these peripherals which are required for developing the signal processing system, are being used. For interfacing these peripherals their Drivers has to be made, hence VHDL coding is used for making drivers. After the proper interfacing all the peripherals are tested and their responses are adjusted accordingly. Therefore the outcome is a adaptive hardware that continuously change in response to the input data, the design trends in this card are towards small size, high integration and fast real time processing.
This card uses FFT, it gives capability to accelerate and verify their real time signal processing design. The new system signal processing kit radically reduces simulation time and simplifies the overall design process.
By using push button a designer can automatically generate a FPGA bit stream from the tool and incorporate the FPGA back into the system level simulation.
The AD has a maximum integral nonlinearity of 2. ADC output samples stored in 16 bit flash memory i. After the comparison of different samples the effective data pass through the DDS interface. FPGAs have integrated gigabit serial communications, memory interfaces, immersed processors, and a wide range of available core firmware modules. Figure1: Block diagram of signal processing card Block diagram of signal processing card which is shown in Figure.
As far as our card specification is concerned : Area of the PCB - 70mXm Execution time- ms Power consumption- 40mw Input signal- various analog signals ranging from 10mv to 30mv as well as digital signals. There are some of the design protocols which are to be followed while placement and routing.
This reduces delay as well as noise in the channel.
The crystal oscillator must be routed straight and close to the FPGA with a ground pad. Analog and Digital signal tracks should be away from Each other with a Ground track between them. Moreover, high computational performance, low cost, low power requirements as compared to DSP processors and CPU based systems promotes the FPGA based processors as a better choice for the complex signal processing applications.
Keeping this motivation, the presented work can be further extended to the flexible ultrasonic signal processing and noise reduction with band splitting. In the field of ultrasonic signal processing, FPGA will be a dominant platform and more robust and effective architectures can be developed in near future.
As the different architectures can be switched as per requirement, it is expected to have a single architecture with some modifications for various ultrasonic signal processing techniques. References Villasenor J. The flexibility of configurable computing.
Reconfigurable computing for digital signal processing: a survey. Application-specific FPGA using heterogeneous logic blocks. Field programmable gate arrays FPGAs.
[ebook]FPGA-based Implementation of Signal Processing Systems
FPGA software architecture for software defined radio. Procedia Engineering, Vol. FPGA-based systolic computational-memory array for scalable stencil computations.
Procedia Computer Science, Vol. Design and implementation of a digital accumulator for the phase coherent radio pulse signal using FPGA. Hardware-efficient parallel structures for linear-phase FIR digital filter. Digital Fir Filter Design.
Analog and Digital Filter Design, , p. Prentice-Hall, New Delhi, A novel hardware efficient FIR filter for wireless sensor networks.
Comparative analysis of non-contact ultrasonic methods for defect estimation of composites in remote areas. Signal detection and noise suppression using a wavelet transform signal processor: Application to ultrasonic flaw detection. Split-spectrum processing: Analysis of polarity threshold algorithm for improvement of signal-to-noise ratio and detectability in ultrasonic signals. Analysis of cross-correlation and wavelet de-noising for the reduction of the effects of dispersion in long-range ultrasonic testing.
FPGA-based Implementation of Signal Processing Systems
Signal processing methods for materials defects detection. FPGA-based ultrasonic signal processing platform. Hardware efficient realization of a real time ultrasonic target detection system. Ultrasonic flaw detection using split-spectrum processing combined with adaptive network based fuzzy inference system.
System-on-chip design for ultrasonic target detection using split-spectrum processing and neural networks. FPGA implementations of fast Fourier transforms for real-time signal and image processing.
International Journal of Computer Applications, Vol. Signal processing methods to improve the Signal-to-noise ratio SNR in ultrasonic non-destructive testing of wind turbine blade.Preview Unable to display preview. Li and S. Start Free Trial No credit card required.
Your password has been changed. Figure1: Block diagram of signal processing card Block diagram of signal processing card which is shown in Figure.
If the noise has been removed the signal is transferred to the display. Procedia Engineering, Vol. Analog and Digital Filter Design, , p.
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