We present the single layer router CDR (Current Driven Router) capable of routing analog multiterminal signal nets with current driven wire widths. The widths used during routing are determined by current properties p...
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We present the single layer router CDR (Current Driven Router) capable of routing analog multiterminal signal nets with current driven wire widths. The widths used during routing are determined by current properties per terminal gained by simulation or manually specified by circuit designers. The algorithm presented computes a Steiner tree layout satisfying all specified current constraints while obeying the maximum allowed current densities on all connections. CDR calculates the Steiner tree topology, computes the unknown currents of wires connecting two Steiner points and generates the final Steiner tree layout in a single step thus eliminating the need for a separate layout post-processing step common to power and ground routing algorithms. CDR uses a connection graph for layout representation and applies an advanced minimum detour algorithm in combination with a modified 'three-point steinerization' heuristic for Steiner tree based layout construction.
In this paper, a fuzzy Kalman filter is proposed to combat the model-set adaptation problem since it is found to be able to extract more exactly dynamic information. The fuzzy Kalman filter uses a set of fuzzy rules t...
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ISBN:
(纸本)2725700000;2725700019
In this paper, a fuzzy Kalman filter is proposed to combat the model-set adaptation problem since it is found to be able to extract more exactly dynamic information. The fuzzy Kalman filter uses a set of fuzzy rules to adaptively control the noise covariance and that makes it more suitable for real radar tracking. The proposed fuzzy Kalman filter is then combined with an IMM algorithm, hence, a fuzzy IMM (FIMM) algorithm is obtained. The performance of the FIMM algorithm is compared with that of an adaptive IMM (AIMM) algorithm using real radar target tracking data. Simulation result shows that the FIMM algorithm outperforms the AIMM algorithm in terms of both the root mean square prediction error and the number of track loss.
The major goal of the paper is to perform advanced studies in nonlinear analysis, design, control, and deployment of advanced propulsion systems for underwater vehicles. Propulsion systems integrate permanent-magnet s...
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The major goal of the paper is to perform advanced studies in nonlinear analysis, design, control, and deployment of advanced propulsion systems for underwater vehicles. Propulsion systems integrate permanent-magnet synchronous motors, power converters, microprocessors, and sensors. There is a critical need to perform advanced nonlinear analysis and design of electric motors. The use of advanced microprocessors and DSPs allow the designer to perform intelligent decision making and learning control. Due to extremely complex nonlinear electromagnetics phenomena, research in electric machinery has not kept the pace of the benchmarking advantages in power electronics and DSPs. In the paper, advanced analysis and design are performed to provide the means for developing high-performance propulsion systems for underwater vehicles in order to reduce the current drawbacks and satisfy requirements and specifications imposed. In particular, we approach and solve extremely challenging nonlinear analysis and control problems for high-performance propulsion systems without placing the problem into the frame of assumptions and simplifications which lead to unsatisfactory performance. Using a set of nonlinear differential equations, which describe permanent-magnet synchronous motor dynamics, an innovative design method is proposed, and nonlinear control algorithms are synthesized. It must be emphasized that the reported results have been implemented, verified, and deployed.
We present the single layer router CDR (Current Driven Router) capable of routing analog multiterminal signal nets with current driven wire widths. The widths used during routing are determined by current properties p...
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ISBN:
(纸本)0769505376
We present the single layer router CDR (Current Driven Router) capable of routing analog multiterminal signal nets with current driven wire widths. The widths used during routing are determined by current properties per terminal gained by simulation or manually specified by circuit designers. The algorithm presented computes a Steiner tree layout satisfying all specified current constraints while obeying the maximum allowed current densities on all connections. CDR calculates the Steiner tree topology, computes the unknown currents of wires connecting two Steiner points and generates the final Steiner tree layout in a single step thus eliminating the need for a separate layout post-processing step common to power and ground routing algorithms. CDR uses a connection graph for layout representation and applies an advanced minimum detour algorithm in combination with a modified 'three-point steinerization' heuristic for Steiner tree based layout construction.
We present an image registration algorithm based on the area-correlation method. Image registration is indispensable for moving target detection and tracking with the infra-red search and tracker (IRST). In our approa...
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We present an image registration algorithm based on the area-correlation method. Image registration is indispensable for moving target detection and tracking with the infra-red search and tracker (IRST). In our approach to image registration, displacements between frames are obtained using the area correlation, and then, the search image is rectified to the reference image by compensating displacements. Detection of a moving target is achieved by the frame difference method. The proposed algorithm has been tested with real image data, and we observe that the proposed algorithm is able to compensate the displacement of two images in that we get only a few detection points when we subtract two registered images.
We present a number of methods that use image and signed processing techniques for removal of noise from a signal. The basic idea is to first construct a time-frequency density of the noisy signal. The time-frequency ...
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ISBN:
(纸本)0819432938
We present a number of methods that use image and signed processing techniques for removal of noise from a signal. The basic idea is to first construct a time-frequency density of the noisy signal. The time-frequency density, which is a function of two variables, can then be treated as an "image", thereby enabling use of image processing methods to remove noise and enhance the image. Having obtained an enhanced time-frequency density, one then reconstructs the signal. Various time frequency-densities are used and also a number of image processing methods are investigated. Examples of human speech and whale sounds are given. In addition, new methods are presented for estimation of signal parameters from the time-frequency density.
This paper describes a new digital reprogrammable architecture called Field Programmable On-line oPerators (FPOP). This architecture is a kind of FPGA dedicated to very low-power implementations of numerical algorithm...
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ISBN:
(纸本)0819432938
This paper describes a new digital reprogrammable architecture called Field Programmable On-line oPerators (FPOP). This architecture is a kind of FPGA dedicated to very low-power implementations of numerical algorithms in signalprocessing or digital control applications for embedded or portable systems. FPOP is based on a reprogrammable array of on-line arithmetic operators. On-line arithmetic is a digit-serial arithmetic with most significant digits first using a redundant number system. Because of the small size of the digit-serial operators and the small number of communication wires between the operators, single chip implementation of complex numerical algorithms can be achieved using on-line arithmetic. Furthermore, the digit-level pipeline and the small size of the arithmetic operators lead to high-performance parallel computations. Compared to a standard FPGA, the basic cells in FPOP are arithmetic operators such as adders, subtracters, multipliers, dividers, square-rooters, sine or cosine operators. This granularity level allows very efficient power x delay implementations of most algorithms used in digital control and signalprocessing. The circuit also integrates some analog to digital and digital to analog converters.
In this paper we introduce a. multi-scale deconvolution technique performed in the scale-domain. In sensor array applications such as in radar, sonar and seismic processing, the sensor outputs are modeled as the convo...
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ISBN:
(纸本)0819432938
In this paper we introduce a. multi-scale deconvolution technique performed in the scale-domain. In sensor array applications such as in radar, sonar and seismic processing, the sensor outputs are modeled as the convolution of the unknown source signal with various unknown system impulse responses that are scaled versions of each other with unknown scale parameters. In many applications these signals or the scaling parameters are needed to be estimated only from the sensor outputs. In our earlier work, we estimated the unknown scale parameters by using properties of the scale transform and then employed existing deconvolution algorithms. Here, we derive the multiscale blind deconvolution algorithm in the scale transform domain. The performance of the method is illustrated using simulation examples.
In this paper, a method for signal component separation, operating in the Time-Frequency (TF) plane and employing a Turbo Estimation Algorithm (TEA), is described. A novel 2D distribution is proposed, named Two Window...
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ISBN:
(纸本)0819432938
In this paper, a method for signal component separation, operating in the Time-Frequency (TF) plane and employing a Turbo Estimation Algorithm (TEA), is described. A novel 2D distribution is proposed, named Two Window Spectrogram (TWS), which is free from crossterms and able to yield good time anti frequency resolution. Then, a set of parameters is defined in the time-frequency plane, which are able to carry the relevant information on the signal components. An algorithm of estimation of these parameters is proposed, making use of a TEA scheme to yield improved performance. The algorithm has been tested by simulation, yielding very encouraging performance.
This paper presents a robust algorithm for image processing using generalized reaction-diffusion equations. An edge enhancing functional is proposed for image enhancement. A number of super diffusion operators is intr...
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ISBN:
(纸本)0819432938
This paper presents a robust algorithm for image processing using generalized reaction-diffusion equations. An edge enhancing functional is proposed for image enhancement. A number of super diffusion operators is introduced for fast and effective smoothing. Statistical information is utilized for robust edge-stopping and diffusion rate estimation. A unification of computational methods is discussed. The unified computational method is employed for the numerical integration of the generalized reaction-diffusion equations. Computer experiments indicate that the present algorithm is very efficient for edge-detecting and noise-removing.
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