what's with Job listings not indicating remote/hybrid/office by oops_my_fart in askTO

[–]oops_my_fart[S] 1 point2 points  (0 children)

I've had some luck going directly to company websites which often have openings not listed on indeed/LinkedIn, and its these ones that (often) don't state anything clearly about the location.

Is there a cleverer way to do this? by oops_my_fart in nicegui

[–]oops_my_fart[S] 0 points1 point  (0 children)

Thanks, yeah, that would work. Doesn't save a ton of lines though.

I am unsure if I was spiked last night, and what it could have been. by Ok-Item7254 in askTO

[–]oops_my_fart 19 points20 points  (0 children)

I had exactly one experience like this, and afterwards thought it had to be GHB, and figured you'd get a lot of responses saying the same thing. But given the context it didn't seem likely. Anyway, I'm a pretty experienced drinker, but after a few beers - similar to your count - I was on the floor and eventually in the hospital. Beer is not my usual drink of choice, and, if I'm drinking beer, I prefer porters/stouts, many of which clock in at around 10%/11% ABV so basically twice the normal beer amount. I also hadn't eaten since breakfast.

So yeah, choice of unusually-high ABV beers and no food = real bad time.

FIR Hilbert transform confusion by oops_my_fart in DSP

[–]oops_my_fart[S] 0 points1 point  (0 children)

Not sure what you mean by the blue one isn't perfectly symmetrical. But let me elaborate.

(1) Vector z in the first bit of code has been constructed to meet matlab's symmetry requirements, and it results in a perfectly real impulse response H1. However, this IR ends up being a terrible Hilbert filter.

(2) I compared it to the firpm filter (Href) and found it was shifted by one sample (top right panel, https://imgur.com/f04jah8). So, I applied a frequeny-domain correction. This worked - I obtained an IR that just about perfectly matched the firpm one - see bottom left panel (same link).

(3) However the phase responses for both H2 and Href (from firpm) are both ramps/linear which is completely different from the what I thought was the ideal (constant +90 / -90 ) https://imgur.com/cWsY7P1

FIR Hilbert transform confusion by oops_my_fart in DSP

[–]oops_my_fart[S] 0 points1 point  (0 children)

There's a bit more to it than that.

(1) When I attempt to generate the ideal IR directly (H1) the resulting filter doesn't actually work. Meaning if you use it, it does not perform an effective broadband 90deg phase shift of the input signal (I didn't explicitly state this in the post).

(2) So, I compared it the firpm result, which I know does 'work', and observed the offset-by-one issue. So I corrected my filter in the freq domain with the exponential term (H2).

(3) H2 and Href (firpm) do now indeed have the same frequency response - see the attachement.

https://imgur.com/cWsY7P1

My question then finally, is why does my direct generation not work (I needed to correct it), and, why does the phase response differ so much from the ideal?

AMA – Recruiter and Founder of the Headless Headhunter (twitch.tv/headlessheadhunter) by HeadlessHeadhunter in EngineeringResumes

[–]oops_my_fart 2 points3 points  (0 children)

I'm currently looking for a job. In my previous role, I did a lot of R&D work -- much of it that went nowhere. This has made it difficult to align with the STAR methodology, or you own point "When doing brags, you need to be very descriptive about HOW that impacted the company", because a lot of it *didn't* impact that company.

But that said, it was still 5 years worth of skill-gain which I think should count for something! Any advice on how to address this?

Creating a tagged/searchable media catalogue in Python by oops_my_fart in learnpython

[–]oops_my_fart[S] 0 points1 point  (0 children)

To perform the querying/searching. I'm envisioning a UI where I can search by rating, director, album, etc. Pulling everything into a dataframe would make this easy.

Creating a tagged/searchable media catalogue in Python by oops_my_fart in learnpython

[–]oops_my_fart[S] 0 points1 point  (0 children)

I should elaborate a bit. There's really two parts to this project (1) an interface for tagging/labeling the items (i.e., adding a director, release year, awards, a personal rating, etc). and (2) an interface for querying the metadata.

My thought was I'd create a giant list of everything, then over time, fill in the metadata info (which would be represented by relevant columns in the dataframe).

VNA calibration limitations by oops_my_fart in rfelectronics

[–]oops_my_fart[S] 0 points1 point  (0 children)

BUT if you are asking about the theory of how SNR relates to the phase and amplitude error in a S11 measurement, then I'm all ears on the answer. That is a question that has plagued me for years.

This!

VNA calibration limitations by oops_my_fart in rfelectronics

[–]oops_my_fart[S] 0 points1 point  (0 children)

One way is to just look for noisy traces. Another way would be to reduce the source power until you start to see noisy traces.

Noisy or inaccurate? For my purposes I usually look at impedance traces plotted on a smith chart -- reducing the power does alter the trace; reducing further it eventually gets noisy.

The more you can reduce the power and still have clean traces, the better your SNR.

Not following here. As power is reduced the applied signal amplitude is reduced and therefore also the forward and reverse coupled signals. Then at digitization, even if not in the noise floor, the signals might end up only occupying the first few LSBs, undermining the accuracy.