ECSE 211 Lecture Notes - Lecture 3: Ultrasonic Transducer, Normal Distribution, Gaussian Function

• School: McGill University
• Department: Electrical & Computer Engr
• Course: ECSE 211
• Professor: Dennis Giannacopoulos

Document Summary

Sensor and filtering sensors are not perfect, critical to know how to interpret that data correctly. How data changes in di erent conditions etc. (testing sensor is very important) Noise removal, there are a whole bunch of noise distributed around the mean value of the. Timerlistener as a timer, get sample in a xed interval time. Timeout : if there is failure, the timer stops after this much time numsamples : count the number of samples until hits nsamples (max) Gaussian (normal) distribution: described in terms of the mean and standard deviation, try plotting the gaussian function over our data. In practice, not that easy, if the robot moves and you get only a small amount of data, (you can"t get gaussian, mean, etc. ), and you need to act on it fast (can"t wait for a lot of data and analyze) You need another method to lter data more easily.