I really like the answer of Gouda. One question though, you state "Pixel space observations are usually randomly Caushy distributed" how does this come about? Could you point me to some references or give an intuitive explanation? Thanks!Regarding outlier robust Kalman filtering there are two similar approaches to the paper High-Voltage included. One is based on L1-regularization, see Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity Constraints, and the other is based on sparse Bayesian learning, see Outlier-insensitive Kalman Smoothing and Marginal Message Passing.
1. How does a GPS satellite keep track of, and guide in real time, hundreds of millions of cars at the same time?
Your question is similar to asking how a radiostation knows which people are listening to their channel. They do not know, at least not from the fact that they are transmitting. Their transmission goes into the air and there is no difference for them if nobody listens in, or a hundred, or a million. This is exactly the same for GPS satellites; they have no ida if you are using their signals or not.The process works the other way around. GPS satellites transmit a continuous signal, just like a radiostation. The receivers, in your phone or in your satnav, receive those signals and use that information to calculate their position relative to the satellites it receives.
2. Ok this is for real this time, ladies I have a question?
I am a vegetarian, so I do not like any chicken pieces or anything in my salad. But I like things like sliced onions, tomatoes, almonds, & italian dressing
3. Which are the earliest real-time text editors?
I think the following early text editors meet your criteria:See also A personal history of modeless text editing and cut/copy-paste, Evaluation of text editors, and Design case study: the bravo text editor
4. Real time Digital to Analog converter [closed]
We need a lot more information about the sensor or the sensor circuit or the sensor signal before there can be a detailed answer. But ...A digital signal on only two wires cannot be converted to an analog signal with a D/A converter unless the digital signal actually is a serial data word of some bit length. If it is, there are some D/A converter chips that are designed for certain specific serial data formats. Or, you can grow one from scratch with a serial-to-parallel converter followed by a parallel input D/A. Both of these are difficult designs for a novice.If it is a simple square wave, then the next question is how simple? How does the signal vary when whatever the (secret) sensor is sensing changes?If the frequency changes but the duty cycle (percentage of time spent high and low) stays approximately constant, that is an FM signal and can be converted to an analog signal with any one of several types of FM demodulators or frequency-to-voltage converter circuits. If the frequency stays relatively constant but the duty cycle changes, that is called pulse-width modulation, or PWM. This can be converted to an analog signal with a lowpass filter.There are other possibilities, but those are two of the most common. Overall, what you want to do certainly can be done. The complexity involved depends on the true nature of the sensor and its signal
5. How can I intercept video over a wireless network in real time?
If the connection is unencrypted then you can sniff the video and watch it, real time if you have the tools and have visibility of the connection (typically by being on the target's network, but not necessarily)You wo not necessarily know when they stop and start the video, as most video services buffer the stream (ie they download ahead of where you are watching)
6. Using Wearable Technology to Evaluate the Kinetics and Kinematics of the Overhead Throwing Motion in Baseball Players
Recent advancements in wearable technology have made kinetic and kinematic analysis of the throwing motion more accessible to recreational and professional baseball pitchers. Utilization of wearable technology to monitor the pitching motion has several potential applications for injury prevention and postinjury rehabilitation. However, the device must be properly applied to collect meaningful data. Erratic or inconsistent measurements can be caused by inadequate battery charge, incorrect sensor placement, and inadvertent motion capture of fielding maneuvers or other nonpitching throws. These problems can be overcome with a protocol that includes collecting biomechanical data in real time and routinely checking the sensor position throughout the duration of the throwing session. In this article, we outline our protocol for collecting biomechanical data and troubleshooting suboptimal device function during pitching sessions.