Browse by Tags: matlab

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Number of items: 11.
  1. [img]
    Preview
    Assignment on Matlab
    Considers sampling, quantisation, filters and lines of best fit.

    Shared with the World by
  2. [img]
    Preview
    Assignment on Matlab
    Considers systems of linear equations, steepest ascent optimisation and Monte Carlo simulation.

    Shared with the World by
  3. [img] [img]
    Course Notes, Numerical Methods (MATH3018/MATH6111).
    Course notes for the Numerical Methods course (joint MATH3018 and MATH6111). Originally by Giampaolo d'Alessandro, modified by Ian Hawke. These contain only minimal examples and are distributed as is; examples are given in the lectures.

    Shared with the University by
  4. [img]
    Introduction to Matlab - a self-study tutorial
    Matlab is a high level language that is very easy to use and very powerful. It comes with a wealth of libraries and toolboxes, that you can use directly, so that you don't need to program low level functions. It enables you to display results very easily on graphs and images. To get started with it, you need to understand how to manipulate and represent data, and how to find information about the available functions. During this self-study tutorial, you will learn: 1- How to start Matlab. 2- How you can find out all the information you need. 3- How to create simple vectors and matrices. 4- What functions are available and how to find them. 5- How to plot graphs of functions. 6- How to write a script. After this (should take about an hour), you will know most of what you need to know about Matlab and should definitely know how to go on learning about it on your own…

    Shared with the University by
  5. [img]
    Preview
    Laboratory on Matlab
    Considers various basic features of Matlab

    Shared with the World by
  6. [img]
    Preview
    Laboratory on Matlab
    Considers function handles, matrix manipulation, 3D plots and programming

    Shared with the World by
  7. [img]
    Matlab Code for Entropy Coding
    Considers Huffman coding and arithmetic coding

    Shared with the World by
  8. [img]
    Matlab Code for Modulators
    Considers Sampling, Pulse Amplitude Modulation, Multiple Access, Quantisation, Pulse Coded Modulation, Manchester Line Coding, Amplitude Modulation, Double SideBand Suppressed Carrier Modulation, Quadrature Amplitude Modulation and M-ary Shift Keying.

    Shared with the World by
  9. [img] [img]
    Matlab self study tutorial - Graphing
    These resources are designed to support students in gaining more confidence with using Matlab. The PDFs provide guidance and information; Objectives: Introduce basic syntax and data preparation for graphing with Matlab by providing some data, examples of code and some background documents. Outcomes: -how to write an m file script -the importance of syntax -how to load files -how to produce simple graphs -where to get help and further examples There are also some data files to provide example data for students to work with in producing Matlab resources.

    Shared with the University by
  10. [img]
    Numerical Methods Worksheets
    These worksheets are formative assessment for the Numerical Methods modules MATH3018 and MATH6111 (some material is only covered in MATH3018). Intended to back up both the theory and the coding (in Matlab) side

    Shared with the World by
  11. [img] [img]
    Numerical Methods lectures for MATH6111 (and MATH3018).
    These are the slides used in the joint lectures for MATH3018/MATH6111. They focus on the examples that do not appear in the course notes (see related material). Each lecture comes with example Matlab files that generate the figures used in the lectures.

    Shared with the University by
This list was generated on Wed Oct 18 09:14:59 2017 UTC.