Software Downloads for "Algorithm Mixing"

The main program is MAIN.m This program will estimate the single source points present in the instantaneous mixtures and using the estimated single source points the mixing matrix will be estimated. Then the error in mixing matrix estimation and the latest estimated mixing matrix will be returned. Here the hierarchical clustering algorithm is used to cluster the estimated single source points. It is not necessary to use hierarchical clustering algorithm, instead any other suitable clustering algorithm can be used.

  • Platform: Matlab, Scripts
  • Publisher: Reju VG
  • Date: 18-05-2013
  • Size: 3533 KB

We are proud to present you our unique image comparison algorithm implemented as standalone dll file. It has only one exported function with two bitmap pointers in and similarity percentage out. Can work with many programming languages including Delphi, Visual C++, C#, VB and VB.NET. We can also provide you with the modified DLL. It can precalculate image hash (768 bytes) and you can use these hashes for comparison then. You can check our comparison algorithm with help of our Image Comparer tool.

  • Platform: Tablets, Windows
  • Publisher: Bolide Software
  • Date: 12-11-2007
  • Size: 136 KB

The algorithm is designed to transfer an encryption key between two parts electronically in a hidden fashion. This free test script simulate such an exchange beween two parts. It is written for the best owerview and understanding possible..

  • Platform: JavaScript, Scripts
  • Publisher: karelma.com
  • Date: 04-07-2011

VirtualDJ is the hottest MP3 mixing software, targeting every DJ from bedroom DJs to professional superstars like Carl Cox. With its breakthrough BeatLock engine, your songs will always stay in the beat, and you can work your mixes incredibly faster than any other DJ could. The automatic seamless loop engine and the brand new synchronised sampler will let you perform astounding remixes live, with no preparation at all. The visual representation and the cues allow you to clearly see the song's structure, and never be surprised by a break anymore.

Elite Mix 1.0 is the Mixing Solution for the PC brought to you by TriceraSoft. For the DJ that requires the hands-on interaction with the player to mix audio, video and/or karaoke along with powerful effects and transitions. Elite Mix 1.0 provides the seemless looping features for the club DJ and includes powerful and popular features from our flagship products. Mix Audio, Video, and Karaoke Live BPM and Seemless Loops Denon DN-HC4500 MIDI Controller Native Support Singer History Remote Request Tool Auto Gain Control (Maintains 0dB to 4dB) Beautiful Video and Audio Crossfading 48 Unique Video Transitions 32 Band Equalizer Master Pitch and Tempo Monitor (Headset) Feature Multi-Soundcard Support ASIO Soundcard Support (Multi-Channel Cards) Large Previews Key/Tempo Settings Save in Playlist Files Independent Picture Slideshow Video...

  • Platform: WinOther
  • Publisher: TriceraSoft
  • Date: 04-11-2012
  • Size: 13844 KB

Support unlimited multiple video track and audio track. Support video mixing and audio mixing. Support chroma key video effect. Support resize video with Nearest Neighbor, High Quality Bilinear, High Quality Bicubic, BiLinear MMX resizing algorithm. Support Picture in Picture with multiple zone video effect. Support Adjust audio volume or add crossfade audio effect at any point on the timeline using unique volume track. Allow Input FLV, F4V, AVCHD (m2ts, ts), Mp4, m4v, QuickTime MOV with aac audio, 3gp, 3g2 with amr audio , MPEG1, MPEG2, VOB, WMV, AVI, ASF DIVX file.

  • Platform: WinOther
  • Publisher: Viscom Software
  • Date: 03-08-2012
  • Size: 19425 KB

This is a simple implementation of the famous LZW algorithm..

  • Platform: Matlab, Scripts
  • Publisher: Giuseppe Ridino
  • Date: 12-01-2013
  • Size: 31 KB

this algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user(finding mobile user's location).

  • Platform: Matlab, Scripts
  • Publisher: Bachan P
  • Date: 03-03-2013
  • Size: 10 KB

NSGA-II is a very famous multi-objective optimization algorithm. I submitted an example previously and wanted to make this submission useful to others by creating it as a function. Even though this function is very specific to benchmark problems, with a little bit more modification this can be adopted for any multi-objective optimization. The function is nsga_2(pop,gen). The input arguments for the function are population size and number of generations. For customization purposes the user is free to modify the objective function (function of several decision variables) by modifying an m file (evaluate_objective.

  • Platform: Matlab, Scripts
  • Publisher: Aravind Seshadri
  • Date: 13-04-2013
  • Size: 10 KB

Gravitational search algorithm (GSA) is an optimization algorithm based on the law of gravity and mass interactions.This algorithm is based on the Newtonian gravity: "Every particle in the universe attracts every other particle with a force that is directly proportional to the product of their masses and inversely proportional to the square of the distance between them"..

  • Platform: Matlab, Scripts
  • Publisher: Esmat Rashedi
  • Date: 07-04-2013
  • Size: 10 KB

The Jonker-Volgenant algorithm is much faster than the famous Hungarian algorithm for the Linear Assignment Problem (LAP). This Matlab implementation is modified from the original C++ code made by Roy Jonker, one of the inventors of the algorithm. It is about 10 times faster than the munkres code (v2.2) of the author. It can solve a 1000 x 1000 problem in about 3 seconds in a normal Intel Centrino processor. V1.1 returns the dual variables and the reduced cost matrix as well. V1.2 can deal with nonsquare assignment problems.

  • Platform: Matlab, Scripts
  • Publisher: Yi Cao
  • Date: 15-03-2013
  • Size: 10 KB

A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to initial population selection. Detailed logging of the algorithm performance during the search is also enabled..

  • Platform: Matlab, Scripts
  • Publisher: Milan Rapa
  • Date: 24-02-2013
  • Size: 10 KB

findMIS is an heuristic algorithm for solving Maximum Independent Set problem (MIS). An independent set of a graph is a subset of vertices in which no two vertices are adjacent. Given a set of vertices, the maximum independent set problem calls for finding the independent set of maximum cardinality. Algorithm run in O(n^2) time, where n is the number of vertices (worst case). Experimentally: time = 8.1e-007*n^2 + 2.2e-005*n + 0.00012 seconds, (see screenshot) The algorithm has been independently developped but is similar to: Balaji, Swaminathan, Kannan, "A Simple Algorithm to Optimize Maximum Independent Set", Advanced Modeling and Optimization, Volume 12, Number 1, 2010 Notation: The neighborhood of v is defined by N(v) ={u in V such that u is adjacent to v} The DEGREE of a vertex v in V, denoted by deg(v) and is defined by the...

  • Platform: Matlab, Scripts
  • Publisher: Roberto Olmi
  • Date: 24-06-2013
  • Size: 10 KB

We use the genetic algorithm (gatool) to determine the four parameters of the implicit Forst-Kalkwarf-Thodos Model. Predictions are in perfect agreement with data of vapour pressure of iodobenzene versus temperature for a temperature range from 380.15 K to 580.15 K..

  • Platform: Matlab, Scripts
  • Publisher: Housam Binous
  • Date: 07-01-2013
  • Size: 10 KB

This is an extremely fast implementation of the famous Hungarian algorithm (aslo known as Munkres' algorithm). The new version (V2.2)is about 1.5 times faster than the old version (V2.1). It can solve a 1000 x 1000 problem in about 20 seconds in a Core Duo (T2500 @ 2.00GHz) XP laptop with Matlab 2008a, which is about 2.5 times faster than the mex code "assignmentoptimal" in FEX ID 6543, about 6 times faster than the author's first version in FEX ID 20328, and at least 30 times faster than other Matlab implementations in the FEX.

  • Platform: Matlab, Scripts
  • Publisher: Yi Cao
  • Date: 01-01-2013
  • Size: 10 KB

This matlab function computes the dft of a set of values and returns the dft coefficients. This is a three butterfly radix-2 algorithm..

genetic algorithm (or GA) is a search technique used in computing to find true or approximate solutions to optimization and search problems for function of 2 variable.

This algorithm will accept a Latitude, Longitude and Altitude location as well as a specific universal coordinated time. It will use this information and calculate the position of the moon in a local coordinate frame (az and alt aka az and el). Example Function Call: [Az El] = LunarAzEl('1991/05/19 13:00:00',50,10,0) Input List: UTC Date and Time - Use format YYYY/MM/DD hh:mm:ss Latitude - Site Latitude in degrees -90:90 -> S(-) N(+) Longitude - Site Longitude in degrees -180:180 W(-) E(+) Altitude - Site Altitude in km Output List: Az - Lunar Azimuth angle in degrees El - Lunar Elevation/Altitude Angle in degrees.

  • Platform: Matlab, Scripts
  • Publisher: Darin Koblick
  • Date: 02-01-2013
  • Size: 10 KB

This algorithm deal with multimodal optimization problems under constraints..

  • Platform: Matlab, Scripts
  • Publisher: Djaghloul Mehdi
  • Date: 11-01-2013
  • Size: 10 KB

These files are the MATLAB code for "Imperialist Competitive Algorithm (ICA)" which in some papers is referred by "Colonial Competitive Algorithm CCA". Evolutionary optimization methods, inspired from natural processes, have shown good performance in solving complex optimization problems. For example, genetic algorithms (inspired from biological evolution of human and other species), ant colony optimization (based on ants effort to find optimal path to the food source) and simulated annealing (based on real annealing process in which a substance is heated over its melting point and then cooled to reach to a crystalline lattice) are widely used to solve engineering optimization problems.

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