Most of the adaptive feedforward vibration (or noise) compensation systems feature an internal ”positive feedback” coupling between the compensator system and the correlated disturbance measurement which serves as reference. This may lead to the instability of the system. Instead of the standard IIR structure for the adaptive feedforward compensator, the paper proposes a Youla-Kucera parametriz...

This paper discusses the placement of a microphone for feedforward based active noise control in a forced-air cooling system. Incorrect placement of microphones may lead to poor signal correlation that limit the ability of active noise suppression. Microphone placement can be by facilitated by direct on-line optimization of the Active Noise Control system. The feedforward based noise cancellati...

Supply noise is one of the major considerations in almost all analog building blocks. In the past, adequate supply rejection is usually achieved with circuit isolation or excess capacitive coupling. However, this brute force method requires large silicon area and degrades feedback bandwidth. In this study, a method of enhancing the power supply rejection (PSR) of a system by using a fast feed-f...

Here x is an input, y is a “label”, v ∈ Rd is a parameter vector, and f(x, y) ∈ Rd is a feature vector that corresponds to a representation of the pair (x, y). Log-linear models have the advantage that the feature vector f(x, y) can include essentially any features of the pair (x, y). However, these features are generally designed by hand, and in practice this is a limitation. It can be laborio...

Feedforward neural networks have been used to perform classifications and to learn functional mappings. This paper compares human performance to feedforward neural networks using back propagation in generating functional relationships from limited data. Many business judgments are made in situations where decision makers are required to infer relationships porn partial, incomplete, and conflict...

In this study, we propose a novel deep neural network and its supervised learning method that uses a feedforward supervisory signal. The method is inspired by the human visual system and performs human-like association-based learning without any backward error propagation. The feedforward supervisory signal that produces the correct result is preceded by the target signal and associates its con...

Currently, the only available wideband (multiple MHz) amplifier linearization method is feedforward. Feedforward, though, requires automatic adaptation of key parameters for reliable distortion cancellation as operating conditions vary. With a novel and appropriate use of DSP, we have implemented a feedforward linearizer with adaptation driven by easily computed gradient signals. This overcomes...