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Ripple Analysis in Ferret Primary Auditory Cortex III. Prediction of Unit Responses to Arbitrary Spectral Profiles
(1995)
We examined whether AI responses to arbitrary spectral profiles can be explained by the superposition of responses to the individual ripple components that make up the spectral pattern. For each unit, the ripple transfer ...
Zero-Crossing Rates of Some Non-Gaussian Processes with Application to Detection and Estimation
(1996)
In this dissertation we present extensions of Rice's formula for the expected zero-crossing rate of a Gaussian process to some useful non-Gaussian cases. In particular, we extend Rice's formula to the class of stationary ...
Dynamic Range, Stability, and Fault-tolerant Capability of Finite-precision RLS Systolic Array Based on Givens Rotations
(1990)
The QRD RLS algorithm is generally recognized as having good numerical properties under finite-precision implementation. Also, it is very suitable for VLSI implementation since it can be easily mapped onto a systolic array. ...
Minimum Mean Square Error Estimation of Connectivity in Biological Neural Networks
(1991)
A minimum mean square error (MMSE) estimation scheme is employed to identify the synaptic connectivity in neural networks. This new approach can substantially reduce the amount of data and the computational cost involved ...
Bayesian Change Detection
(1991)
In this thesis we consider certain problems of optimal change detection in which the task is to decide in a sequential manner which of two probabilistic system descriptions account for given, observed data. Optimal decisions ...
On Periodic Pulse Interval Analysis with Outliers and Missing Observations
(1996)
Analysis of periodic pulse trains based on time of arrival is considered, with perhaps very many missing observations and contaminated data. A period estimator is developed based on a modified Euclidean algorithm. This ...
Adaptive Array Systems Using QR-Based RLS and CRLS Techniques with Systolic Array Architectures
(1991)
In this dissertation the basic techniques for designing more sophisticated adaptive array systems are first developed. Then several systolic architectures based on numerically stable and computationally efficient algorithms ...
Fast Digital Locally Monotonic Regression
(1995)
In [1], Restrepo and Bovik developed an elegant mathematical framework in which they studied locally monotonic regressions in RN . The drawback is that the complexity of their algorithms is exponential in N. In this paper, ...
Dual-State Systolic Architectures for Adaptive Filtering Using Up/Downdating RLS
(1991)
We propose a dual-state systolic structure to perform joint up/down-dating operations encountered in windowed recursive least squares (RLS) estimation problems. It is derived by successively performing Givens rotations for ...
Blind MIMO FIR Channel Identification Based on Second-Order Statistics with Multiple Signals Recovery
(1996)
To separate and recover multiple signals in data communications, antenna arrays and acoustic sensor arrays, the impulse responses of multiple-input/multiple-output (MIMO) channels have to be identified explicitly or ...