Dsp Merrill Lynch Mutual Funds

Calculates the Mutual Average Information of a time series for some time lag.

Calculate windowed mutual information between two signals up to a pre-defined lag. The estimation of the (joint) probabilities is optimized, hence, entire computation is very fast.

Normalized mutual information is often used for evaluating clustering result, information retrieval, feature selection etc. This is a optimized implementation of the function which has no for loops.


Platforms: Matlab

With this plugin, you can have a profile tab showing mutual friends of users, just like in Facebook!There are two versions of the plugin: a commercial and a non-commercial one. The difference? Only one: when you don't enter your verification key in the tab parameters, you get the "CB Mutual...


Platforms: PHP

A powerful Audio Editor, Real-time and off-line plug-in host, Audio-CD mastering application for Mac OS X that utilizes the latest technological advances of computer-based audio editing and audio-CD Mastering. Main features: - Universal Binary support: DSP-Quattro runs natively on Macs based on...


Platforms: Mac

From famed designer Jane Jensen comes this bone-chilling seek-and-find hidden object mystery. Go way beyond regular hidden-object finding to solve other kinds of puzzles, learn an interesting story, and enjoy some of the most gorgeous art you've ever seen in a game. Dr. Lynch has made a...


Platforms: Mac

Lab 4a:The primary goal of the first lab is to familiarize you with using Simulink so that in the next lab you can use Simulink to program a DSP. Here are three specific goals for this lab:d-deD? Learn basic Simulink commands and syntax, including the help system.d-deD? Learn to write and edit...


Platforms: Matlab

The zipped file contains 18 m files implementing all experiments in the course EC1302 DSP Lab under Anna University Chennai, India syllabus: butterworth lowpass filter design using bilinear transformation & impulse invariant methods given relative or absolute specifications, DIT-FFT & DIF-FFT...


Platforms: Matlab

This paper walks you through the process of profiling code running on a Texas Instruments DM6437 DSP. To demonstrate the process we profiled many common DSP algorithms including Auto-Correlation, the Dot Product, the FFT, an FIR filter, an IIR Filter, a Matrix Multiply, and an LMS Filter. These...


Platforms: Matlab

Usage: I=mi(A,B), where A and B are equally sized images/signals.Function hist2 (included) is used to determine the joint histogram of the images/signals. All histograms use 256 bins.Assumptions: 1) 0*log(0)=0, 2) mutual information is obtained on the intersection between the supports of partial...


Platforms: Matlab

In this document I show how to verify the functionality of your DSP code via processor in-the-loop (PIL) co-simulation using Simulink?s UDP (user datagram protocol) blocks. These blocks are a new addition to the R2006b release of Simulink. This example is an extension of a previous example which...


Platforms: Matlab

The attached script and document help you to remove any Release 11 DSP Blockset blocks from your SimulinkdlT« models. The R11 libraries containing these blocks will no longer be shipped with Signal Processing Blocksetd-OC?D? starting with Release 2007a. If you plan to continue using these...


Platforms: Matlab

Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix. It takes mutual entropy and normalizes for the marginal entropy of the variable of interest (column variable in the code). See screen shot or embedded references for formula.This code is used for the...


Platforms: Matlab

The definition of mutual information could resort to wiki:http://en.wikipedia.org/wiki/Mutual_informationFor marginal mutual information, we say it is :I(A,B)=sum sum P(A,B) log[P(A,B)/P(A)P(B)]For conditional mutual information, we say it is :I(A,B|C)=sum sum P(A,B|C)...


Platforms: Matlab

Usage: I=mi(A,B), where A and B are equally sized images/signals.Function hist2 (included) is used to determine the joint histogram of the images/signals.Assumptions: 1) 0*log(0)=0, 2) mutual information is obtained on the intersection between the supports of partial histograms.Example (in...


Platforms: Matlab

Very fast implementation of average mutual information. Usage: [v,lag]=ami(x,y,lag) Calculates the mutual average information of x and y with a possible lag. v is the average mutual information. (relative units see below) x & y is the time series. (column vectors) lag is a vector of time lags....


Platforms: Matlab

Nowadays there are heaps of articles on the theory of fuzzy entropy and fuzzy mutual information. However, there is a clear significant lack for a Matlab implementation of these concepts. Based on numerous requests from students and researchers, I have prepared this code to simplify such concepts...


Platforms: Matlab

Mutual information I(X,Y) measures the degree of dependence (in terms of probability theory) between two random variables X and Y. Is is non-negative and equal to zero when X and Y are mutually independent. Conditional mutual information I(X,Y|Z) is the expected value of I(X,Y) given the value of...


Platforms: Matlab

DSP Trigger is a miniature VST drum brain that processes the audio output from drum pads and converts it to MIDI without the need of a hardware drum brain. It supports both single and dual zone pads and cymbals and can output up to four separate articulations. DSP Trigger can be used as a way to...


Platforms: Mac

Fielding DSP is a small privately-held company from Heidelberg, Germany, that is specialized in developing high quality audio plug-ins. We are a team of musicians and engineers with a scientific education. This combination of talents helps us create technically sophisticated products without...


Platforms: Mac