Course talk:CPSC522/Kalman filter

On a scale of 1 to 5, where 1 means "strongly disagree" and 5 means "strongly agree" please rate and comment on the following:

   The topic is relevant for the course. 5
   The writing is clear and the English is good. 3
   The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds). 4
   The formalism (definitions, mathematics) was well chosen to make the page easier to understand. 5
   The abstract is a concise and clear summary. 5
   There were appropriate (original) examples that helped make the topic clear. 5
   There was appropriate use of (pseudo-) code. 5
   It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic). 5
   It is correct. 5
   It was neither too short nor too long for the topic. 5
   It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page). 5
   It links to appropriate other pages in the wiki. 4
   The references and links to external pages are well chosen. 5
   I would recommend this page to someone who wanted to find out about the topic. 4
   This page should be highlighted as an exemplary page for others to emulate. 4

If I was grading it out of 20, I would give it: 18

Comments:

• Under Related Pages, there is a "Hidden Markov Model" wiki page that you can link to instead of the Wikipedia article.
• Note that the citations you have (the superscripts [1], [2], etc.) are not actual links.
• Maybe you can include examples/definitions/explanations of "control vector" and "Gaussian random vector".

Hi Jocelyn,

It is the first time that i have heard of Kalman Filter through your Wiki page. I think the content is well written and easy to understand, even for beginners like myself. Though i found some grammatical and spelling errors and i think that these can easily be corrected. Also i think the references that you have mentioned in the content are broken, i.e. they do not navigate the user to the references section at the bottom of page.

Another thing that i stumbled upon was the "Algorithm Kalman_Filter" written in the Algorithm section. I think that there is a mistake when you explain the algorithm, particularly in the line "In lines 2 and 3, we make a predicted estimate of the mean and given only the linear model of the system changes from time t-1 to t." In lines 2 and 3 according to algorithm, we predict the covariance and get the Kalman Gain. I think it should had been "In lines 1 and 2, we make a....". But please correct me if i am wrong.

Other than that i would allot the below described marks to your Wiki page: On a scale of 1 to 5, where 1 means "strongly disagree" and 5 means "strongly agree"

• The topic is relevant for the course - 5
• The writing is clear and the English is good - 5
• The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds) - 5
• The formalism (definitions, mathematics) was well chosen to make the page easier to understand - 5
• The abstract is a concise and clear summary - 5
• There were appropriate (original) examples that helped make the topic clear - 5
• There was appropriate use of (pseudo-) code - 4
• It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic). - 3.5
• It is correct - 5
• It was neither too short nor too long for the topic - 5
• It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page) - 5
• It links to appropriate other pages in the wiki - 5
• The references and links to external pages are well chosen - 4
• I would recommend this page to someone who wanted to find out about the topic - 5
• This page should be highlighted as an exemplary page for others to emulate - 4

If I was grading it out of 20, I would give it: 17

On a scale of 1 to 5, where 1 means "strongly disagree" and 5 means "strongly agree"

• The topic is relevant for the course - 5
• The writing is clear and the English is good - 5
• The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds) - 5
• The formalism (definitions, mathematics) was well chosen to make the page easier to understand - 5
• The abstract is a concise and clear summary - 5
• There were appropriate (original) examples that helped make the topic clear - 5
• There was appropriate use of (pseudo-) code - 5
• It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic). - 4 (could elaborate more on how the design matrices came to be. Not clear presently)
• It is correct - 5
• It was neither too short nor too long for the topic - 5
• It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page) - 5
• It links to appropriate other pages in the wiki - 5
• The references and links to external pages are well chosen - 5
• I would recommend this page to someone who wanted to find out about the topic - 5
• This page should be highlighted as an exemplary page for others to emulate - 5

If I was grading it out of 20, I would give it: 18