119 karma · joined May 17, 2019
Apps are scarce, many don't work anymore due to obsolescence, but the main ones are there: I mantain a Twitter and a Twitch app, and keep updating them to follow Api changes. Spotify and Whatsapp can be used through the android layer, the native BB maps are still functional. Another nice guy on Crackberry mantains a youtube app.. I feel I can say that if you don't have many requirements it's still a solid phone, it can't do much but what it does it does well.
Also, the privacy is unmatched
> Regulations are legal acts that apply automatically and uniformly to all EU countries as soon as they enter into force, without needing to be transposed into national law. They are binding in their entirety on all EU countries.
And:
> Public authorities in EU Member States have the main responsibility for the application of EU law.
What did I just read.
https://translate.google.com/translate?sl=it&tl=en&u=https%3...
The inverse fourier trasnform, on the other hand, is limited to the imaginary axis of the complex plane (the exponent is a purely imaginary number), so you're restricting it to be monodimensional, hence the relative simplicity in reversing the transform
Also, keep in mind that all of this assumes you have infinite samples, so you need to use some form of windowing which doesn't distort too much the signal
The corresponding inverse transform (the "sum" of the components to get the starting signal back) didn't exist before
This is exactly the inverse chirplet transform, which the guys in the article found a way to computeThere is a generalization of this transform (i.e. this transform is a particular case of a more general one): what if instead of a purely imaginary exponent we use a generic complex value a+ib? Then e^((a+ib) * t) = e^(a * t)e^(ib * t): the new term that appears is a real-valued exponential, so exponential curves can also be used describe the starting signal!
However, making a discrete-time, sample-based algorithm of this transform is tricky, and the corresponding inverse transform (the "sum" of the components to get the starting signal back) didn't exist before
I appreciate the non-technical approach to the subject, but this is false. Enthalpy is an energy, it accounts for both internal energy (heat) and work.
Here in Italy you must provide your ID card and wait a couple days for the carrier to check the data. Goverment websites even use 2fa as a proof of your physical identity
I believe the detection relies on torque + angular position (the model S manual says it will sense resistance to wheel motion as well as motion itself), and the latter should be more more sensible because those mechanisms are usually made of encoder-motor-high ratio transmission-load, so a small turn on the load gets multiplied 10-100 times by the transmission before being sensed by the encoder.
I guess the lack of precision comes from Tesla wanting to avoid false positives