High performance NMOS analog circuits which perform voltage addition, average weighing, and signal scaling are presented. Utilization of these circuits in artificial neural network applications is briefly discussed. T...
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High performance NMOS analog circuits which perform voltage addition, average weighing, and signal scaling are presented. Utilization of these circuits in artificial neural network applications is briefly discussed. The circuits are characterized by a simple structure which offers compactness, low voltage supply, and wide input range. In addition, inputs and outputs are voltages which eliminate the need for current voltage conversion. Hence, reduced power consumption and higher performance is achieved. A two-input analog adder has been accomplished through MOSIS 2.0 /spl mu/m n-well CMOS technology at Orbit Semiconductors, and occupies an area of 135/spl times/145 /spl mu/m/sup 2/. Inputs are within /spl plusmn/3 V for 3.3 V supply. Power consumption is less than 0.5 mW and THD is less than -36 dB. Measurements and performance evaluation are presented.
An Artificial Neural Network (ANN) synapse with local digital weight storage capability is presented. It utilizes a novel, compact, voltage mode multiplying digital-to-analog converter to perform multiplication betwee...
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An Artificial Neural Network (ANN) synapse with local digital weight storage capability is presented. It utilizes a novel, compact, voltage mode multiplying digital-to-analog converter to perform multiplication between an analog input and a digital weight. A 6-bit signed weight synapse chip has been implemented in VLSI through MOSIS 1.2 micrometer n-well CMOS technology. It occupies a total area of 1.35 mm/sup 2/. With +3 Volts supply, the circuit accepts analog inputs within /spl plusmn/1 V. Output is also within /spl plusmn/1 V. Maximum power consumption is 20 mW and total error is less than 3%. Circuit analysis and performance evaluation is presented.
A programmable digital sigmoid function generator circuit has been designed and implemented. The circuit is based on second order approximation of the nonlinear sigmoid function and utilizing its characteristics. It o...
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A proof of correctness of a given VLSIC system design is established by proving the consistency and implication of the implemented design with respect to the specified design. The set of conditions that establish such...
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System level design is increasingly turning towards FPGAs to take advantage of their low cost and fast prototyping. In this paper we present a timing driven partitioning approach for an architecturally constrained mul...
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System level design is increasingly turning towards FPGAs to take advantage of their low cost and fast prototyping. In this paper we present a timing driven partitioning approach for an architecturally constrained multi-FPGA system. The partitioning approach uses path-based clustering based on the work by Dennis et al. (1995) and retiming. The board-level architecture is based on the PCB model consisting of four Xilinx 4013 FPGAs. The proposed algorithm has been tested on large scale real designs.
This research develops a new approach in processing multimedia signals (i.e., speech, audio, and images) using wavelets and multifractals. Processing multimedia signals is critical in many modern telecommunication and...
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This research develops a new approach in processing multimedia signals (i.e., speech, audio, and images) using wavelets and multifractals. Processing multimedia signals is critical in many modern telecommunication and information systems. Nonstationary behaviours have been the most important characteristics of multimedia signals because they carry signal information. Unfortunately nonstationary parts are difficult to process effectively using traditional tools such as Fourier transforms. In contrast, wavelets and multifractality not only reveal that nonstationary parts are sufficient to represent natural images, but also can be used to reconstruct such signals. The general objectives of this research are to develop the wavelet and multifractal concepts into a new signal-processing framework, to obtain more effective and efficient signal representation. If the objectives can be achieved, the results of the proposed research can be a breakthrough in nonstationary signal processing, as fundamental as the well known Fourier approach in stationary signal processing.
A dynamic TDMA system can utilize voice activity and allow the integration of voice and data traffic. This can be achieved by allocating frequency channels and time slots on demand. In this approach, upon the arrival ...
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A dynamic TDMA system can utilize voice activity and allow the integration of voice and data traffic. This can be achieved by allocating frequency channels and time slots on demand. In this approach, upon the arrival of a talkspurt or a data packet, the base station is requested to assign a time slot for each transmission. Message requests and assignments of mobile users are carried over a Control channel, while the voice and traffic are transmitted over a Traffic channel. Time slot assignments are made from a 'pool' of Traffic channels. A number of slots in the pool will be shared by voice and data, with voice having priority over data, and the remaining will be used by data only. Voice slots are reserved for the duration of the talkspurt whereas data packets are assigned on a per-slot basis. Data packets can be buffered whereas voice traffic can only tolerate limited delay beyond which talkspurts will be clipped off. The Control channel uplink access is based on Slotted Aloha so that mobile users have autonomous access to base stations. This paper presents the performance of the dynamic TDMA system outlined here. The analysis aims at assessing the capacity gained by using voice activity and voice/data integration, in terms of the impairments introduced to voice quality (e.g., speech clipping and/or delay) and the delays to data packets. The analysis has been based on a discrete time Markov model operating on a frame-by-frame basis that provides the joint distribution of the number of active voice and data users in the system. The analysis also evaluates the delays of message requests via the uplink control channel. In evaluating the clipping probability, we combine the impact of both the access delays at the control channel as well as the unavailability of time slots in the pool. Performance results indicate that the capacity gain may exceed 80% and the speech clipping can be kept below 1%. Also, data packets may be transmitted with limited delays even when all ca
Implantable cardioverter defibrillators (ICD) administer high voltage shock therapies to terminate dangerous cardiac arrhythmias. Improving the functionality of these devices to include online diagnosis based on intra...
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Implantable cardioverter defibrillators (ICD) administer high voltage shock therapies to terminate dangerous cardiac arrhythmias. Improving the functionality of these devices to include online diagnosis based on intracardiac electrogram (ICEG) morphology and to log dangerous signals is important for their more widespread use. It is essential that the ICD implement a signal compression scheme due to the limited memory in the device. We have fitted Gaussian mixture models to the ICEG signals in order to investigate to what extent, nonlinear data models are advantageous in this application compared to the traditional linear approaches used in the field and to explore the common features between classification and compression. Results of fitting the mixture models show that typically a single Gaussian per class for classifiers and single Gaussian prediction models for data compression are adequate data representations provided the data is preprocessed to remove non-stationary behaviour.
Field-programmable gate arrays have the potential to provide reconfigurability in the presence of faults. In this paper, we have investigated the problem of partially reconfiguring FPGA mapped designs. We present a ma...
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