Large digital signal processing applications like particle filtering require a tradeoff between execution time and area in order to scale on FPGAs. This research focuses on developing a methodology to make this tradeoff based on structure in the mathematical description of the application. Structure is expressed using higher-order functions which are transformed using tradeoff rules to reduce area usage on FPGA
The issues of computation optimization for digital signal processing operations are considered when ...
Conventional approaches for fixed-point implementation of digital signal processing algorithms requi...
The digital Finite-Impulse-Response (FIR) filters are mainly employed in digital signal processing a...
This paper presents a design space exploration methodology based on higher-order functions to facili...
High data rate in nuclear spectroscopy can be achieved by using digital shaping techniques. Currentl...
AbstractRecent research has investigated time-space tradeoffs for register allocation strategies of ...
The authors' intention is to show that there are other criteria when optimising digital filters than...
In recent years, the big data era has produced an increasing volume and complexity of data that requ...
Fast prototyping of complex applications such as digital signal processing systems over Field Progra...
We describe the area vs. performance tradeoffs for a Sigma Delta Modulated FIR filter designed with ...
This paper presents the time and power optimization considerations for Field Programmable Gate Array...
Decomposition is a technology-independent process, in which a large complex function is broken into ...
The exponential growth in Field-Programmable Gate Array (FPGA) size afforded by Moore's Law has grea...
Reconfigurable computing is becoming an important new alternative for implementing computations. Fie...
International audienceField programmable gate arrays (FPGAs) are now considered as a real alternativ...
The issues of computation optimization for digital signal processing operations are considered when ...
Conventional approaches for fixed-point implementation of digital signal processing algorithms requi...
The digital Finite-Impulse-Response (FIR) filters are mainly employed in digital signal processing a...
This paper presents a design space exploration methodology based on higher-order functions to facili...
High data rate in nuclear spectroscopy can be achieved by using digital shaping techniques. Currentl...
AbstractRecent research has investigated time-space tradeoffs for register allocation strategies of ...
The authors' intention is to show that there are other criteria when optimising digital filters than...
In recent years, the big data era has produced an increasing volume and complexity of data that requ...
Fast prototyping of complex applications such as digital signal processing systems over Field Progra...
We describe the area vs. performance tradeoffs for a Sigma Delta Modulated FIR filter designed with ...
This paper presents the time and power optimization considerations for Field Programmable Gate Array...
Decomposition is a technology-independent process, in which a large complex function is broken into ...
The exponential growth in Field-Programmable Gate Array (FPGA) size afforded by Moore's Law has grea...
Reconfigurable computing is becoming an important new alternative for implementing computations. Fie...
International audienceField programmable gate arrays (FPGAs) are now considered as a real alternativ...
The issues of computation optimization for digital signal processing operations are considered when ...
Conventional approaches for fixed-point implementation of digital signal processing algorithms requi...
The digital Finite-Impulse-Response (FIR) filters are mainly employed in digital signal processing a...