svm-grid_openmp

Matlab book for beginer

利用matlab编程实现偏最小二乘算法，可完成辨识模型的参数(partial least square)

现代信号处理中谱估计在matlab中的使用例程(Modern Signal Processing Spectrum Estimation in the use of matlab routines)

Audio Equalizer in Matlab.ppt.rar

RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.

最速下降法代码，数值计算算法，换参数即可(steepest descent method)

Studying Sound Frequency

algorithm segmentation region growing

calculates line integral using matlab

MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers: G. A. Barreto & A. F. R. Araujo (2004) "Identification and Control of Dynamical Systems Using the Self-Organizing Map" IEEE Transactions on Neural Networks, vol. 15, no. 5.