lp251

10 ms·

61.
by lp251 9y ago
Can you give a specific example?
62.
by lp251 10y ago
It's tricky. You need to define what "compressed sensing" is. Of course, for 10 years, anything with a hint of sparsity has had the "compressed sensing" buzzword added, even though these ideas are decades old. Man
63.
by lp251 10y ago
How many startups are operating in the CS imaging area? I only know of InView. Rambus likes to sell their lensless sensor as "compressive", but it doesn't really fit.
64.
by lp251 10y ago
Not a great example. Compressive imaging is (was?) a hot research area but hasn't made the transition to industry. I can think of only a single commercial product that relies on compressive sensing.
65.
by lp251 11y ago
Might want to add the textbooks available at http://www.fourierandwavelets.org/ . I really like the first, "Foundations of Signal Processing", as a linear algebra centered treatment of the topic.
66.
by lp251 11y ago
The author was recently on the Longform podcast [1] and discussed how this story came together. I enjoyed it. [1]: http://longform.org/posts/longform-podcast-163-matthew-shaer
67.
by lp251 11y ago
What's sad about Sapp? He makes a killing and takes no damage.
68.
by lp251 12y ago
You might want to look at vimception[1], an iPython plugin to use CodeMirror's vim mode inside iPython cells. It yet hasn't been updated to work with iPython 3.0. [1] https://github.com/ivanov/ipython-vimcept
69.
by lp251 12y ago
I had the same habit. My typing speed fell dramatically when I first got my Kinesis, but after a week or so I was above 80 WPM again. I just noticed I still use my left index finger to type "y" on a non-Kinesis keyboard. Strange
70.
by lp251 12y ago
Minor nitpicks- "Convolved" with the pixels. And the FIR filter doesn't depend on the frequency information in the adjacent pixels, but rather the intensity of the pixels. A short FIR filter must have large frequency suppor
71.
by lp251 12y ago
[1, 0] and [1, 1] are linearly independent but not mutually orthogonal. Unless I am understanding what you mean by "in their space".
72.
by lp251 12y ago
I agree- the Discrete Fourier Transform can be easily explained in terms of basic linear algebra. And that explanation is usually included in an introduction-level DSP book. Both Oppenheim and Proakis have a section devoted to this view-
73.
by lp251 12y ago
Sure- admittedly, confusing "sparse reconstruction" with "compressed sensing" is a pet peeve of mine.
74.
by lp251 12y ago
I doubt that compressed sensing will be very effective for this problem. Many of the guarantees for compressive signal recovery require incoherence between measurements- meaning each measurement is sufficiently different from the others.
75.
by lp251 12y ago
This is great. Does FightMetric include data on on disclosed fighter pay? I'd love to see a basic statistical analysis of average yearly pay.
76.
by lp251 13y ago
I wonder how effective of a test this would be. Are the algorithmic & implementation details of the Fourier transform that important to imaging science? I would imagine that explaining the properties of the FT, it's connection to
77.
by lp251 13y ago
Somewhat off topic from the article, but are there any similar tools that work with TeX files?
78.
by lp251 13y ago
Checking that the determinant is below a threshold is not a valid test for conditioning. Take epsilon*Identity, for example.