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Code division multiple access (CDMA) is based on the spread-spectrum technology and is a dominant air interface for 2.5G, 3G, and future wireless networks. For the CDMA downlink, the transmitted CDMA signals from the base station (BS) propagate through a noisy multipath fading communication channel before arriving at the receiver of the user(More)
Blind Source Recovery (BSR) denotes recovery of original sources/signals from environments that may include convolution, temporal variation, and even nonlinearity. It also infers the recovery of sources even in the absence of precise environment identifiability. This paper describes, in a comprehensive fashion, a generalized BSR formulation achieved by the(More)
Blind Multi User Detection (BMUD) is the process to simultaneously estimate multiple symbol sequences associated with multiple users in the downlink of a Code Division Multiple Access (CDMA) communication system using only the received data. In this paper, we propose BMUD algorithms based on the Natural Gradient Blind Source Recovery (BSR) techniques in(More)
—We present a model of a basic recurrent neural network (or bRNN) that includes a separate linear term with a slightly " stable " fixed matrix to guarantee bounded solutions and fast dynamic response. We formulate a state space viewpoint and adapt the constrained optimization Lagrange Multiplier (CLM) technique and the vector Calculus of Variations (CoV) to(More)
—Magnetic molecular-level interrogation, manipulation , and diagnosis are emerging as lab-on-chip platforms. These platforms entail low-cost, low-power, portable, and high efficiency integrated implementations. We introduce an all-integrated pro-grammable 16x16 magnetic coil array chip for sensing and actuating small single bio-objects or collaboratively(More)
—We present a new high-performance Convex Cauchy– Schwarz Divergence (CCS-DIV) measure for Independent Component Analysis (ICA) and Blind Source Separation (BSS). The CCS-DIV measure is developed by integrating convex functions into the Cauchy–Schwarz inequality. By including a convexity quality parameter, the measure has a broad control range of its(More)