This rather mesmerizing video by Michiel de Boer uses a video editing technique to highlight movement and changes in video clips. From falling rain to rising mist to passing footsteps, the relatively simple technique visualizes all kinds of motion. (Video and image credit: M. de Boer; via Colossal)
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I am learning about coherence and interference, and i am asking myself the following questions:
How can we extend the autocorrelation of two points sources derivation to a broader "extended source" using the autocorrelation function and geometry?
What about transverse coherence? Does it also exhibit a periodic spatial dependence?
Big Q: all of the derivations were done using a quasi monochromatic source, what changes when we consider a optical signal with a non-negligible bandwidth?
Even bigger Q: temporal vs spatial coherence, what are the applications of these coherences? What can do with this information in an optical drive train?
Up next is to learn about the Van Cittert-Zernike Theorem. Man, it's been a while since I had to review Bessel Functions!!
Hopefully by the end of this month, I will have a general idea of coherence and interference to be able to grasp the fundamentals of some interferometry systems (I just know Michelson and Fabry-Perot)
Linear regression is an analysis that analyze whether one or more predictor variables explain the dependent variable. there are few assumption that we need to keep in mind to maintain accuracy of the regression model. Below are Basic Assumption of Regression Model:
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Speech Processing method is one of the important method used in application area of digital and analog signal processing. It is used in real world speech processing of human language such as human computer interface system for home, industry and medical field. It is the most common means of the communication because the information contains the fundamental role in conversation. From the speech or conversation, it converts an acoustic signal that is captured by a microphone or a telephone, to a set of words. Various fields for research in speech processing are speech recognition, speaker recognition, speech synthesis, speech coding etc. Speech recognition is the process of automatically recognizing the spoken words of person based on information content in speech signal. The introduces a brief detail study on Automatic Speech Recognition and discusses the various classification techniques that have been accomplished in this wide area of speech processing. The objective of this paper is to study some of the well known methods that are widely used in several stages of speech recognition system.