Peter Allen Stubberud

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Dynamic element matching (DEM) has been used to increase the spurious free dynamic range of digital to analog converters (DACs). In this paper, two DEM networks, the Full Randomization DEM (FRDEM) network and the binary tree (BT) network, are shown to be equivalent to an appropriately connected generalized cube network (GCN). A comparison of these two(More)
Unlike feedforward neural networks (FFNN) which can act as universal function approximaters, recursive neural networks have the potential to act as both universal function approximaters and universal system approximaters. In this paper, a globally recursive neural network least mean square (GRNNLMS) gradient descent or a real time recursive backpropagation(More)
As CMOS technology scales, the transistor speed increases enabling higher speed communications and more complex systems. These benefits come at the cost of decreasing inherent device gain, increased transistor leakage currents, and additional mismatches due to process variations. All of these drawbacks affect the design of high-resolution analog-to-digital(More)
System functions of frequency sampling filters require pole­ zero cancellations on the unit circle. For practical implementations, finite word length effects usually prevent pole-zero cancellations which can result in filter instability. This note develops an optimization method for designing a modified frequency sampling filter which is guaranteed to be(More)
Typically machine vision systems estimate ranges using stereoscopic vision systems or specialized range detectors. Although these methods are effective, they are expensive. In this paper, a single camera range estimation algorithm is developed for a low-cost machine vision system that uses off-the-shelf components. This algorithm uses the perspective(More)