Description: Matlab simulation of complex analysis routines and lectures, a complex simulation of the lectures and examples ah, not to miss

Description: Support Vector Machine method, the realization of Matlab for the detection and classification, pattern recognition, face detection

Description: achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or)

Description: Kalman filter matlab toolbox with demo

Description: Traveling Salesman Problem (TSP, the traveling salesman problem), simulated annealing algorithm common source malab

Description: Matlab GUI programming paradigm is the Fourier- Transform algorithm Mellin image matching procedures, very practical.

Description: using Matlab Simulink right cdma2000 Channel Coding simulation is part of turbo codes. It may take matlab7. 0 Open.

Description: using Matlab Editor Detection two straight intersection of source code, source code, including two procedures
lsd 2005-07-17 22:06:39
Description: trial at the least square error domain guidelines (minimum inverse square design) design with a four DF IIR coefficient of the system function, so in y (n) = [3,2,1] incentive to import, export v (n) approximation d (n) = [2,0.2,0.05]. So v (1) = v (2) = 0. Get v (n) of eight samples value d (n) comparisons. Using Matlab realization of this request.
lsd 2005-07-17 22:00:46
Description: matlab

Description: MATLAb language of genetic algorithm toolbox, the entire comparison.

Description: OFDM channel coding and decoding of the source code, using Matlab to achieve

Description: matlab simulation of linear metro

Description: of image processing and general knowledge of how to use MATLAB for image processing

Description: digital image in the selection process will be subject to regular noise pollution. Therefore, the digital image should be carried out to deal with the noise. Based on the traditional Fourier Transform method of signal to noise, can result in a signal and noise bands overlap small as possible, so it can be adopted in the frequency domain, the need to change methods of filtering the signal and noise to separate. However, if the signal and noise in the frequency domain coincidence, the method for dealing with the effects of noise on the relatively poor.

Description: Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe

Description: use kalman filter to sample signals of object moving route with random acceleration,filter and estimate

Description: consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power

Description: LMS comparison, RLS, and the Kalman filter multi-user detector performance

Description: mainly for high-rise building design of the vibration, linear vibration theory, use the advanced language Matlab has been prepared by a main program and four subroutine composition

Description: software engineering design and development, because I do not know how, therefore, also invited readers to their own discretion, and I hope to have your help!

Description: Matlab Haar and the right image Db9 wavelet decomposition and reconstruction, and under different thresholds with PNG format image storage remodeling.

Description: introduced the basic concepts, as well as image compression, denoising, enhancement, integration and smooth handling.

Description: Matlab using linear discriminant method for pattern recognition
bitxyq 2005-07-09 15:57:20
Description: Matlab environment, based on cloud model for the classification, including examples Swarm Optimization Based on the cloud classifier, and attribute similarity cloud classifier.
bitxyq 2005-07-09 15:30:49
Description: cloud classifier, a theoretical model based on cloud classification procedure. Procedures used for cloud classification of Iris data set for testing