A real-time multirate filtering design project, as an application in digital hearing aids, has been developed. The motivation is that it allows nonuniform frequency resolution which automatically leads us to use diffe...
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(纸本)0780336291
A real-time multirate filtering design project, as an application in digital hearing aids, has been developed. The motivation is that it allows nonuniform frequency resolution which automatically leads us to use different decimators for different frequency bandwidths. Therefore, a variation of the tree structured multirate multistage filter bank is exploited with six pairs of polyphase filters for decimation and six pairs for interpolation to achieve seven different frequency bandwidths, each for an octave. Such nonuniform systems are well-suited for the processing of sound signals, because of the decreasing resolution of the human ear at higher frequencies. For audiogram match, the frequency response of the decimation filter bank can be individually adjustable in each octave band. The other advantages of multirate processing provide for less computational and storage requirements as well as lower order filter design. Texas Instruments Evaluation Module (EVM), based on the fifth generation TI TMS320C50 digital signal processor, is used for implementation.
A robust neural model-Modified Learning Vector Quantization (MLVQ)-is proposed for the estimation of centroid in pattern recognition. This MLVQ model can significantly demonstrate the behavior of better estimating the...
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A robust neural model-Modified Learning Vector Quantization (MLVQ)-is proposed for the estimation of centroid in pattern recognition. This MLVQ model can significantly demonstrate the behavior of better estimating the class centroid by utilizing the distance-dependent step size. The computer simulation result can indicate the high potential of less dependence on the initial point as well as the precise settlement of the weight vectors to the centroids. The main feature of this model is robust to the noise perturbation to the pattern distributions in practical applications. Also, a mixed-mode of analog-digital processing systems are designed by the CMOS current-mode VLSI technology and paper the best attributes of both analog and digital computation. The final experimental results of this hybrid processing systems can show the on-chip learning capability and operate at microsecond time scale to achieve the goal of real-time neural applications.
This paper presents a behavioral model approach for analyzing a folding and interpolating analog-to-digital converter (ADC). The model is constructed using mathematical equations in a C program to describe the behavio...
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This paper presents a behavioral model approach for analyzing a folding and interpolating analog-to-digital converter (ADC). The model is constructed using mathematical equations in a C program to describe the behavior of each block of the system, and it is used to analyze non-idealities such as mismatches, bandwidth limitations, and non-linearity in the folding amplifiers, interpolation network, and comparators of the folding and interpolating ADC. The results aid the design of a folding and interpolating ADC by providing a comprehensive set of design criteria that must be satisfied by each building block.
Analysis of the system-level specifications of embedded systems improves finding a better implementation. The specification language Task Level, custom tailored for designers, can specify the functional and temporal b...
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Analysis of the system-level specifications of embedded systems improves finding a better implementation. The specification language Task Level, custom tailored for designers, can specify the functional and temporal behaviour of the system. The language semantics and thus the design specification semantics are defined with Coloured Petri nets. A graphical toolbox using these nets generates performance information and utilization rates of resources. This information is used to rearrange the specification to get a more efficient implementation. It is easy to rearrange a specification in TL. This simplicity in the specification language requires complex modelling strategies in Coloured Petri nets. Fortunately, the designer never sees these nets.
Recent developments in electromagnetic (EM) application often require the knowledge of EM interaction with biological tissue. For example, in magnetic resonance imaging (MRI), detailed knowledge of the EM field distri...
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Recent developments in electromagnetic (EM) application often require the knowledge of EM interaction with biological tissue. For example, in magnetic resonance imaging (MRI), detailed knowledge of the EM field distribution in the MRI resonator in the presence of a patient is required to further improve the MRI image quality. In the antenna design for wireless communication, knowledge of the EM interaction with the human head plays an important role. First for the safety concern, we need to know the EM field distribution, radiated by the handset, in the human head. Second, for effective transmission and reception, we need to know how the antenna radiation pattern is affected by the presence of the human head. In the past, the finite-difference time-domain (FD-TD) method has been used to investigate the effect of the EM wave on the biological tissue. This method has the ability of modeling the complex objects but requires extensive computational time. We propose to use the conjugate-gradient fast Fourier transform (CG-FFT) method to calculate the EM distribution within biological materials. Compared with the FD-TD method, the CG-FFT method has the advantage of comparable computer memory requirement but less CPU time. Once the EM field distribution within the biological tissue is calculated, other important parameters such as the specific absorbing ratio (SAR) for safety design can also be obtained.
The MSR consortium (German car makers and suppliers) is seeking unified methods for easy exchange of product specifications including plant models. An inspection of typical examples brought up a minimal set of necessa...
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The MSR consortium (German car makers and suppliers) is seeking unified methods for easy exchange of product specifications including plant models. An inspection of typical examples brought up a minimal set of necessary capabilities which are summarised within this paper. For unified modelling the language needs to support signal-flow (non-conservative) and energy-flow (conservative) communication between components of such systems, furthermore, it needs discrete-time (event-driven, finite automata) and continuous-time (DAE) modelling including interaction between both. A short summary of one such example is given within this paper. The example includes stick/slip-friction as well as a soft stop defined as a characteristic table. Besides some open issues related to fast simulation and graphical representation, VHDL-AMS supports the demanded features pretty well.
This paper presents a new practical image coding system, visual pattern block truncation coding (VPBTC). The first idea of this new algorithm is the application of block truncation coding (BTC), which encodes an origi...
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This paper presents a new practical image coding system, visual pattern block truncation coding (VPBTC). The first idea of this new algorithm is the application of block truncation coding (BTC), which encodes an original image and obtains a bitmap. This bitmap is applied to computing the block gradient orientation and matching the block pattern. Another refinement is that the classification of blocks are based on properties of human visual perception. Blocks are classified into two types: uniform blocks and edge blocks. Not only can VPBTC remove the drawbacks of BTC (e.g. higher bit rate) but also can it repair the defects of VPIC (e.g. mismatching pattern). Four benchmarks prove that the MSE of this algorithm is less than that of VPIC by 37%. Its bitrate, furthermore, is about 60% of BTC's. The advantages of this coding method are fine edge preservation, low computational complexity, and easy implementation.
This paper shows anew method of active vibration control of a flexible plate structure with aim to reduce the radiated noise. It involves modeling the real structure into a reduced order lumped parameter model on the ...
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The proceedings contains 185 papers. Topics discussed include robotics and adaptive control, machine control and simulation, converters and inverters, digital signal processing applications, testability issues for dig...
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The proceedings contains 185 papers. Topics discussed include robotics and adaptive control, machine control and simulation, converters and inverters, digital signal processing applications, testability issues for digital circuits and systems, mixed signal integrated circuits, digital hardware design and applications, VLSI design and automation, adaptive systems, image and video coding, data converters and sigma delta modulators, continuous-time circuits, fuzzy systems, digital signal processing in communications, electronic design in multimedia, high performance chip designs, high performance analog signal processors, adaptive filters, analog system building blocks, current mode circuits, pattern recognition, power transformer, equipment and control, wavelets and filter banks, multimedia architecture, testing mixed-signal integrated circuits, analog and digital circuits and systems, circuit theory, analysis and design, signal compression, signal processing for communication, implementation of DSP system, modeling for power system analysis and design, analog signal processing and biomedical engineering.
In this paper, we will consider an important aspect of rational modeling: phase approximation. An algorithm will be developed to achieving optimal Chebyshev error where Remez algorithm is proved to be effective. Its a...
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