A Sequence-Filter Joint Optimization

More recently, In [4] and [5], optimal distributed estima- tion algorithms which are for finding the optimal linear combination of the local estimates weighted by matrices and

It uses a low-pass filter, but the cutoff frequency changes according to speed: at low speeds, a low cutoff re- duces jitter at the expense of lag, but at high speeds, the cut- off

The catalytic activity towards CO for both materials was then evaluated as catalytic filters (i.e. at room temperature under 50% of humidity). Concerning the SnO 2 sensor, a

1) Phase code: First we study the performance obtained with a Gold sequence [20] of length N = 127. Figure 3.a) presents the output of the classic matched filter for such a sequence

However, to our knowledge, it has never been addressed in the literature, except for a first attempt by the authors in [13] where the considered mismatched filter optimization

The advantages of this technology for constructing FIR filters include the possibility of achieving a high quality of image reconstruction by tuning a small number of parameters of

We focus on a policy gradient approach: the POMDP is replaced by an optimization problem on the space of policy parameters, and a (stochastic) gradient ascent on J(θ) is

We present Seq2SeqPy a lightweight toolkit for sequence-to-sequence modeling that prioritizes simplicity and ability to customize the standard architectures easily.. The