The increasing demand for real-time and smart digital signal processing (DSP) systems, calls for a better platform for their implementation. Most of these systems (e.g. digital image processing) are highly parallelisable, memory and processor hungry; such that the increasing performance of today�s general-purpose microprocessors are no longer able to handle them. A highly parallel hardware architecture, which offers enough memory resources, offers an alternative for such DSP implementations
Digital signal processing (DSP) covers a wide range of applications in which the implementation of h...
Reconfigurable hardware like field programmable gate arrays (FPGA) has been proposed as a way of obt...
This PhD work has resulted in the development of a set of novel architectures and algorithms for hig...
This paper describes the implementation of a custom DSP system to accelerate image processing algori...
This work shows how one parallel technology Field Programmable Gate Array (FPGA) can be applied to d...
AbstractIncreasing the speed and accuracy for a fast image processing algorithms during computing th...
Signal processing is an important part of computer science, which is used in but not limited to auto...
Includes bibliographical references (pages 102-105)The field of Digital Signal Processing (DSP) has ...
Floating-point digital signal processors aid in implementing real-time digital signal processing alg...
FPGAs have emerged as the preferred platform for implementing real-time signal processing applicatio...
Real-time image processing usually requires enormous throughput rate and huge amount of operations. ...
Today FPGAs are often used for real-time image processing acceleration. This paper describes digital...
This project serves as an extension of my Design Clinic group project, which was to design an FPGA-b...
This paper describes a full-custom mixed-signal chip which embeds distributed optical signal acquisi...
Neural networks have contributed significantly in applications that had been difficult to implement ...
Digital signal processing (DSP) covers a wide range of applications in which the implementation of h...
Reconfigurable hardware like field programmable gate arrays (FPGA) has been proposed as a way of obt...
This PhD work has resulted in the development of a set of novel architectures and algorithms for hig...
This paper describes the implementation of a custom DSP system to accelerate image processing algori...
This work shows how one parallel technology Field Programmable Gate Array (FPGA) can be applied to d...
AbstractIncreasing the speed and accuracy for a fast image processing algorithms during computing th...
Signal processing is an important part of computer science, which is used in but not limited to auto...
Includes bibliographical references (pages 102-105)The field of Digital Signal Processing (DSP) has ...
Floating-point digital signal processors aid in implementing real-time digital signal processing alg...
FPGAs have emerged as the preferred platform for implementing real-time signal processing applicatio...
Real-time image processing usually requires enormous throughput rate and huge amount of operations. ...
Today FPGAs are often used for real-time image processing acceleration. This paper describes digital...
This project serves as an extension of my Design Clinic group project, which was to design an FPGA-b...
This paper describes a full-custom mixed-signal chip which embeds distributed optical signal acquisi...
Neural networks have contributed significantly in applications that had been difficult to implement ...
Digital signal processing (DSP) covers a wide range of applications in which the implementation of h...
Reconfigurable hardware like field programmable gate arrays (FPGA) has been proposed as a way of obt...
This PhD work has resulted in the development of a set of novel architectures and algorithms for hig...
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