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Months, they cant have a replacement. The democrats are very happy in some ways they are going to get rid of obamacare. This was the one big answer paul politically. This was one big answer, a new solution that was going to be revolutionary and change things for the better. Didnt work. They are happy. We had it for six years. Theyre happy to dump it off. Im more optimistic, there are a lot of pitfalls, we can go through them, if we have momentum, get one part down on the replace part, it creates the conditions for further things down the road. So i think that the main thing is that they need to show momentum. They have the repeal and show good things being done. Because our goal is not, the problem is, obamacare is like, closing down a nuclear plant. There is all this waste. You cant turn it off and walk away. You have to be careful with that waste because it can kill you in the meantime. So i think they just have to have the momentum. Paul the argument is, that you hear, and i hear is ....
When fusing the measurement data with different sampling frequencies from the light detection and ranging (LiDAR) and inertial measurement unit (IMU), their timestamps should be exactly aligned. However, in reality the timestamps of LiDAR and IMU are typically subject to different influences, which will inevitably generate the time delay error to reduce the accuracy and robustness of the LiDAR-IMU system. To this avail, this article proposes a new method that integrates the double layer recurrent neural network (DLRNN) and multistate constrained Kalman filter (MSCKF) to online correct the LiDAR-IMU time delay errors. In this new method, the MSCKF can improve the DLRNN training accuracy while in return the DLRNN can enhance the error estimating performance of the MSCKF. With this mutual improvement strategy, the time delay error can be precisely corrected in both the static and dynamic operation modes of the LiDAR-IMU system. The main contributions include: 1) Dual-information fusion is ....
Correlation based detectors are very popular for spectrum sensing. In these detectors, temporal correlation is often employed to discriminate the signals of primary users from noises. However, large channel delay spread can significantly decrease the correlation of neighbouring samples of received signals, inducing severe performance degradation of temporal correlation based detectors. In this work, we show that the power spectral densities of different delayed versions of a primary signal have high correlation, despite unknown delays. Then, by exploiting the correlation of power spectral densities of received signals, we propose a spectral-correlation detector. To facilitate the practical application of the proposed detector, we also derive a theoretical expression for its decision threshold to achieve a given false alarm probability. Furthermore, in order to handle the case of channels with unknown delay profile, we employ the OR rule to combine the temporal- and spectral-correlation ....
Than awful little bills that have all the exclusions, all this stuff that makes no sense to my. paul: let s look ahead a little bit, art, to dow is now a little under 20,000. what do you see it going at end of the year? do we see 22, 23, 25? this year 2017 i think we ll be very happy if it is just up at all for the year. paul: really? yeah. if you pass a tax bill, it won t really take effect, paul, until january 1st, 2018. paul: okay. that is when rates, if you know they have tax cuts next year, what do you do this year? defer income and employment for a year. that exactly happened to us and reagan. we pass ad great tax bill that started on january 1st, 1983. paul: right. that caused the 81-82 deep recession. so we ll have many so of those delay effects happening here. i think first year just to get their feet on the ground, get bills in place. then i think by 2018, 19, 20, you are will see this economy skyrocket. ....