These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a All files and free downloads are copyright of their respective owners. The recorded webinar is linked off of the Fixed-Point Toolbox web page. If you need to access a remote machine from your Matlab session for near-real time data transfer etc Nonlinearity detection scheme based on zeroing the initial time response over various intervals and computing the FFT of each, as described in: M.Īllen and R. Because this algorithm is ad-hoc - it heavily depends on script For Bluetooth and RS devices applications. This algorithm is robust so it can detect copy-move forgery in lossy compression formats such as jpeg. Using a video input object, live data is acquired and analyzed to calculate any motion between two adjacent image The demos presented in the webinar, in order, are: 1.Īd-hoc algorithm for copy-move forgery detection in images. I made a website The library consists of a single mex file with a single function that takes an image as input and outputs the locations of the frontal faces in the image. Those who did it by themselves had a bunch of code that was not understandable.
