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Update on Matlab Progress: Phase Coding, ML Algorithms, and Clutter Analysis

During weeks 3-4, team members Joe, Josh, and Aaron made significant advancements in their MATLAB projects. Aaron focused on phase coding, improving data manipulation and storage in the `estimate_parameters.m` function. Josh advanced machine learning algorithms with clustering techniques, employing files like `simrr.m` and `dbs.m`. Joe conducted clutter analysis, generating plots through `plot_processing_CHILL_ts.m` and addressing data configuration issues. Next week, the focus will shift to enhancing algorithms and resolving access problems with necessary files.

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Update on Matlab Progress: Phase Coding, ML Algorithms, and Clutter Analysis

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Presentation Transcript

  1. Weeks 3-4 Update Joe Hoatam Josh Merritt Aaron Nielsen

  2. Outline Individual Matlab results Aaron: Phase coding Josh: ML Algorithm & Clustering Joe: Clutter Analysis

  3. Codes worked with this week • example_processing_CHILL_ts.m • estimate_parameters.m • plot_processing_CHILL_ts.m • plotRHI.m • processRND.m • processSZ.m

  4. example_processing_CHILL_ts.m • Reads in CHILL data and allows user to store or manipulate data • Modifications made: • Changed file paths • Fixed configuration file error • Limited input data • Worked on developing estimate_parameters.m function for program to call

  5. plot_processing_CHILL_ts.m • Calls plotRHI.m to plot the range height indicator of the collected data • Data was already formatted and ready to plotted for some cases (from data collected on December 28) • VH Mode • VHS mode with random coding • VHS mode without coding

  6. Output Results, VHS Mode Figure 1: No coding Figure 2: Random coding

  7. Partial Output Figure 3: Partial output

  8. Questions/Comments • Storage of data using estimate_parameters.m function • Partial outputs of plot_processing_CHILL_ts.m • Interpretation of plot_processing_CHILL_ts.m results • Next week’s work

  9. ML Algorithm & Clustering • Worked with various Matlab programs • simrr.m, dbs.m, idbs.m, etc. • Looked at example files that used the cluster.m and crt.m files to generate and process sample data • vel_unfolding_example.m • Began work on Maximum Likelihood Algorithm

  10. Estimate parameters dual PRF • Worked on getting estimate_parameters_dual_PRF.m file to work • Had problem getting access to ts_file for the program to work • Trying to contact Andy to get reading access

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