If sampling rate conversion (SRC) is performed between arbitrary sampling rates, then the SRC factor can be a ratio of two very large integers or even an irrational number. An efficient way to reduce the implementatio...
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If sampling rate conversion (SRC) is performed between arbitrary sampling rates, then the SRC factor can be a ratio of two very large integers or even an irrational number. An efficient way to reduce the implementation complexity of a SRC system in those cases is to use polynomial-based interpolation filters that mimic digitally the hybrid analogue/digital system. In practice, the sampling rate conversion is approximated with a rational factor. In this case, the hybrid analogue/digital model used to represent the SRC process may be represented by an equivalent discrete-time model. The discrete-time modeling of the rational SRC has been used earlier for the zeroth order interpolation. This paper extends this idea to arbitrary polynomial-based interpolation. Furthermore, this paper derives the relation between various polynomial-based interpolation filters (Farrow structure and its modifications) and polyphase FIR model filters. This paper observes possible applications of these relations, such as filter design, implementation complexity reduction, and response distortion analysis.
Efficient and accurate behavioral modeling of RF power amplifiers with memory effects becomes of critical importance in the system-level analysis and design of wide band digital communication systems. In this paper, w...
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Efficient and accurate behavioral modeling of RF power amplifiers with memory effects becomes of critical importance in the system-level analysis and design of wide band digital communication systems. In this paper, we present a novel Volterra-based behavioral model implemented through a bank of parallel FIR filters, the coefficients of which may be readily extracted from time-domain measurement or circuit envelope simulation. This model can reproduce the nonlinear distortion of power amplifiers with memory effects excited by wideband modulated signals with better accuracy compared to conventional quasi-memoryless models.
This paper presents an architecture design for JPEG2000 with a fast algorithm in EBCOT. The EBCOT algorithm takes advantages of resolution and SNR scalability together with a random access property, but its complexity...
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This paper presents an architecture design for JPEG2000 with a fast algorithm in EBCOT. The EBCOT algorithm takes advantages of resolution and SNR scalability together with a random access property, but its complexity also becomes the bottleneck of JPEG2000. In this paper, the authors proposed an architecture by using two speed-up methods. The two speed-up methods can reduce the 43% clock cycles for EBCOT context modeling. This architecture works in 40 MHz. The area of JPEG2000 is about 79787 gate counts.
This paper describes the use of integer equations for high level modelingdigital circuits for application of formal verification properties at this level. Most formal verification methods use BDDs, as a low level rep...
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This paper describes the use of integer equations for high level modelingdigital circuits for application of formal verification properties at this level. Most formal verification methods use BDDs, as a low level representation of a design. BDD operations require separation of data and control parts of a design and their implementation requires large CPU time and memory. In our method; a behavioral state machine is represented by a list of integer equations, and RT level properties are directly applied to this representation. This reduces the need for large BDD data structures and uses far less memory. Furthermore, this method is applied to circuits without having to separate their data and control sections. Integer equations are solved recursively by replacement and simplification operations. For this implementation, we use a canonical form of integer equations. This paper compares our results with those of the VIS verification tool that is a BDD based program.
Performance estimation which drives the design space exploration is usually done by simulation. With increasing dimensions of the design space, simulator based approaches become too time consuming. In the domain of ap...
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Performance estimation which drives the design space exploration is usually done by simulation. With increasing dimensions of the design space, simulator based approaches become too time consuming. In the domain of application specific instruction set processors (ASIP), this problem can be solved by scheduler based approaches, which are much faster. However, existing scheduler based approaches do not help in exploring storage organization. We present a scheduler based technique for exploring register file size, number of register windows and cache configurations in an integrated manner. Performances for different register file sizes are estimated by predicting the number of memory spills and its delay. The technique employed does not require explicit register assignment. The number of context switches leading to spills is estimated for evaluating the time penalty due to a limited number of register windows and cache simulator is used for estimating cache performance. The proposed technique has been validated for several benchmarks over a range of processors by comparing our estimates to the results obtained from standard simulation tools. The processors include ARM7TDMI, LEON and Trimedia (TM-1000).
Recent research on modeling timing jitter has raised a requirement for a predictable, high magnitude, uniform, and wide bandwidth H-field. In this paper, a novel H-field generator design methodology is proposed. It co...
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ISBN:
(纸本)0769520421
Recent research on modeling timing jitter has raised a requirement for a predictable, high magnitude, uniform, and wide bandwidth H-field. In this paper, a novel H-field generator design methodology is proposed. It consists of a single layer air core solenoid and a digital power switch driver that takes advantage of low power, wide bandwidth, and big current-driven capability. With input overdrive voltage, the digital switch can drive rail-to-rail voltage with output current up to 16 A and power bandwidth more than 3 MHz. This paper demonstrates a novel solenoid driver circuit to generate an accurate H-field by comparing digital and analog approaches and comparing the experimental data with the theoretical data.
This paper suggests a systolic array implementation of block based Hopfield neural network architecture using completely digital circuits. The design is based on rewriting the energy equation of the Hopfield neural ne...
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ISBN:
(纸本)0769519040
This paper suggests a systolic array implementation of block based Hopfield neural network architecture using completely digital circuits. The design is based on rewriting the energy equation of the Hopfield neural network to a systolic (or modular) form. The performance of the proposed architecture is evaluated by applying various binary inputs and it is observed that the network provides massive parallelism and can be extended by cascading identical chips.
We describe a Unified Modelling Language (UML) diagramming tool that uses an e-whiteboard, pen-based sketching interface to support collaborative design. Our tool allows designers to sketch UML visual modelling langua...
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We describe a Unified Modelling Language (UML) diagramming tool that uses an e-whiteboard, pen-based sketching interface to support collaborative design. Our tool allows designers to sketch UML visual modelling language constructs, mixing different UML diagram components, free-hand annotations and hand-written text. A key novelty of our approach is the preservation of hand-drawn diagrams and support for manipulation of the diagrams using pen-based actions. UML sketches can be "formalized" to computer-recognised and drawn diagrams, and exported to a 3rd party CASE tool.
Leakage power has become one of the major obstacles to Moore's law. Unless, leakage power is lowered by orders of magnitude, we cannot enjoy the progress that technology scaling offers. Dual-V/sub th/ has emerged ...
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Leakage power has become one of the major obstacles to Moore's law. Unless, leakage power is lowered by orders of magnitude, we cannot enjoy the progress that technology scaling offers. Dual-V/sub th/ has emerged as an increasingly important technology that achieves very low standby leakage power, while maintaining high-performance. This paper provides a comprehensive overview of design issues related to digital integrated circuits with embedded dual-V/sub th/. It is shown that the methodology to optimally design such dual-V/sub th/ circuits must involve: (1) accurate modeling of the gate delays in the design, and (2) efficient estimation of the leakage current in every gate. The power minimization problem is then defined, taking all possible design criteria into account. The choice of the value of the threshold voltages is finally addressed.
The following topics are dealt with: reinforcement learning; neural networks and its applications; tele-existence; fuzzy control for robots; robot assisted therapy and activity; pet-type robot for aged people's we...
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The following topics are dealt with: reinforcement learning; neural networks and its applications; tele-existence; fuzzy control for robots; robot assisted therapy and activity; pet-type robot for aged people's welfare; rehabilitation support system; human-robot interaction; emergence of adaptive behavior, behavior based architecture; new trends in robotics; hybrid intelligent systems in robotics; co-creation system; cooperative mobile robots; evolutionary computation; robot design; micro robot; computational intelligence in industrial applications; vision-based robotics; virtual reality; navigation system; artificial intelligence and application; fuzzy pattern recognition; intelligent systems and nonlinear control; dynamic path planning; collision detection; evolutionary robotics; modular robotics; virtual environment; global localization; pattern recognition by neural networks and evolutionary algorithms; digitalhuman; social learning; biologically inspired robotics; manipulator analysis; manipulator control; learning from agent, human, and world; distributed autonomous systems; future manufacturing; bio-mimetric robotics; computer vision and pattern recognition; fuzzy neural network for modeling; fuzzy neural network for control; adaptive control; agent-based socio-economic simulation; intelligent method for industrial and robotics application; multi-agent systems; advanced fuzzy control; image recognition and reconstruction; sensor fusion.
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