This lecture, we’ll continue with the physical layer, but applied to wireless networks instead of wired networks. In particular, we’ll talk about one problem that occurs in the wireless physical layer: wireless bit-rate adaptation. We’ll start by defining bit-rate adaptation. Then we’ll talk about bit-rate adaptation in an idealized model of the wireless environment. We’ll then discuss bit-rate...

Scientific models are seldom constructed from scratch; more often they are adapted from existing accounts. In this paper, we present a computational approach to this adaptation task in the context of quantitative process models. We review the paradigm of inductive process modeling and discuss RPM, a recently developed program that operates on this task. After this, we describe APM, a new system...

In this chapter the analog VLSI implementation of a Multi Layer Perceptron (MLP) network with on-chip learning capability is presented. A MLP architecture is chosen since it can be applied to successfully solve real-world tasks, see among others [33, 6, 9,4]. Many examples of analog implementations of neural networks with on-chip learning capability have been presented in literature, for exampl...

The efficient supervised training of artificial neural networks is commonly viewed as the minimization of an error function that depends on the weights of the network. This perspective gives some advantage to the development of effective training algorithms, because the problem of minimizing a function is well known in the field of numerical analysis. Typically, deterministic minimization metho...

I study the population genetics of adaptation in asexuals. I show that the rate of adaptive substitution in an asexual species or nonrecombining chromosome region is a bell-shaped function of the mutation rate: at some point, increasing the mutation rate decreases the rate of substitution. Curiously, the mutation rate that maximizes the rate of adaptation depends solely on the strength of selec...

This thesis presents a hardware implementation of the SoftRate bit-rate adaptation protocol. SoftRate is a new bit-rate adaptation protocol, which uses per-bit confidence hints generated by the convolutional decoder to estimate the channel bit-error rate. Implementing SoftRate requires changes to both the physical and media access control layers. which precludes using existing commodity 802.11 ...