"It is far better to dare mighty things even though we might fail than to stay in the twilight that knows neither victory, nor defeat" Charles Elachi, JPL Director (from here).
Before Curiosity landed, I mentioned The high stakes of Curiosity's Entry, Descent, and Landing (EDL) in which I talked about Max-C. An anonymous commenter kindly observed:
Wasn't Max-C cancelled?It sure was, but people are still planning a mission that uses this type of sky-crane/EDL approach. From wikipedia:
"In April 2011, because of a budgeting crisis, a proposal was announced to fly only one rover in 2018 that would be larger than either of the vehicles in the paired concept, ExoMars (ESA) and MAX-C (NASA). One suggestion was that the new vehicle be built in Europe and take on a mixed identity of European and American instruments. NASA agreed to provide the interplanetary rocket and the "Sky Crane" landing system. Despite the proposed reorganization, the goals of the 2018 mission opportunity would stay broadly the same: namely, to look for signs of past or present life by drilling into the soil and packaging or caching rocks that able to be lifted and dispatched to Earthly laboratories by a subsequent mission."
With the success of Curiosity and the amount of fuel left in the tank at the end of the sky-crane procedure, we can safely say that it is at TRL9 and will be used in the future.
Coming back to Earth, an important conversation took place here with Zhilin Zhang, Phil Schniter and Adam Charles in:
- Intra-Block Correlation and Sparse Sensing Matrices
- More intra-block correlation and sparse sensing matrices
- Re-Weighted l_1 Dynamic Filtering for Time-Varying Sparse Signal Estimation
with a rejoinder of sorts in We live in exciting times !
In light of Curiosity's landing and the low bandwidth provided for communication between Earth and the rover (31MB per day), it looks like we have a (The Curiosity) Super-Resolution Challenge. We also Imagined A Faster Nanopore DNA Sequencing Technique and provided some Advice for an Undergraduate while several implementations were featured:
- Applying alternating direction method of multipliers for constrained dictionary learning -implementation-
- WSPGL1: Beyond L1 minimization for sparse signal recovery - implementation -
- Dynamic Compressed Sensing (DCS) via Approximate Message Passing (AMP) - implementation -
- L1 Homotopy: A MATLAB Toolbox for Homotopy Algorithms in L1 Norm Minimization Problems -implementation -
- Direct Optimization of the Dictionary Learning Problem - implementation -
Other blogs were also rich this past week:
- Dick mentions a new way to solve linear equations by Prasad Raghavendra. Even Terry Tao is a commenter on that blog entry. I wonder how this is directly applicable to compressive sensing reconstruction solvers, we'll see. An element worth noting and pointed out by Dániel Varga is that the algorithm does not use division. It may even have an embarrassingly parallel version. One item I pointed out in the comment section is that by putting some constraint on the family of vectors to be used, one could enforce different type of structured sparsity. The comment section is pure gold.
- Dustin goes through a proposal writing exercise and as a result devises to explain to us some Variations on a theme: Three open problems in Short Fat Matrices
- Anna recounts the Themes in streaming algorithms (workshop at TU Dortmund)
- Danny has an entry on GraphChi that I did not pick up on last time. What a fool I was! Imagine the possibility of buying lots of very cheap RAM and transform your old box into the equivalent of a Haddop/GraphLab cluster.
- Greg mentions the 2012 IEEE MTT-S Video Competition: Visualizing Microwaves! and wants you to
Sign up now for the Next Generation Medical Imaging Workshop at Carnegie Mellon University
- Emmanuel tells us about OpenCV + iOS tutorial and particularly an implementation of TV-minimization using FISTA
- The Arxiv blog comments on an arxiv article that devise a tanking for sudoku difficulty in Mathematics of Sudoku Leads To "Richter Scale" of Puzzle Hardness. I need to to do that, I have this matlab implementation that checks out 9 sudoku problems and we need to test them against different solvers. Here is another blog entry on the subject by David Eppstein. Stay tuned on this.
- David lists the 7 Habits of the Open Scientist: #2 -- Reproducible Research
- Vladimir mentions the Halide language for Parallel Image Processing, that Teledyne DALSA Manufactured Sensors for Curiosity Rover, and that e2v had Sensors on Curiosity Rover, and finally the intrguing Isorg/ Plastic Sensors.
- Randy mentions some interesting abstract on Terahertz active spatial filtering through optically tunable hyperbolic metamaterials
I also noted the appearance of signs that compressed sensing and related subjects are becoming mainstream:
- Rosario finds interesting an analysis using sparse generalized PCA
- Big Data Counting: How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory (which reminded of other blog posts on the subject: Sketching data structures and Probabilistic Data Structures for Web Analytics and Data Mining
- A comment on DPReview on Mars rover camera project manager explains 2MP camera choice links back here.
- The MMDS 2012 Slides are out! Workshop on Algorithms for Modern Massive Data Sets
- Coding, Complexity, and Sparsity Workshop Slides
- Slides: IPAM Deep Learning, Feature Learning Graduate Summer School
- Postdoc: Application of Sparse Representation Theory to the Adaptive Control of Robot Arms
- Post doc position in Compressive sensing and medical ultrasound imaging (France)
- Job for a software engineer in his new start-up.
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.