The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)
Toolkit for Automatic Control and Dynamic Optimization
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines.
How to detect multimedia spam such as image spam? This project implemented some algorithms to detect and recognize the image spam based on Image Processing, Pattern Recognition incluing Edge-Detection,Region-Grow, ANN, SVM, LLE, ICA, PCA,etc.
Roll model for trading strategy to C++ or FPGA via Matlab tools
To start: Use the PDF No comments or further support will be provided once my workflow goal is complete. See below for these workflow details. Rationale of this project: There will be more wrong than right in this project as it is strictly for learning to reverse engineer a real world research paper from the banking industry. This is not to include items like charting or trading execution. I am not interested in the performance of this strategy either. As a result, I keep critics, haters, and trolls at bay. This is just to keep this process transparent no different than using an open source software project model. I just hope people will contribute to make this project/process better and even correct. If you fork this, please let me know so I can further learn from your work. Why Matlab? As a result, I am trying to 'rapidly' generate an algorithm with Mupad, generate custom M scripts, and implement into a systematic model with Simulink and Stateflow tools.
An ANSI C library of routines for rapid signal detection based on higher order statistical analysis.
A systematic approach to analyze metabolomic data generated from a GCxGC/TOF-MS instrument, in the form of a Metbolomics Profiling Pipeline (MetPP).
Learning Stochastic Discrete Event Systems
Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes.