Psychtoolbox_beta3.0

mathematic simple equation for signal processing

TKK Voice Source Analysis and Parametrisation Toolkit (Aparat) is a voice inverse filtering and parametrisation software developed at Helsinki University of Technology (TKK) Acoustics and Audio Signal Processing Laboratory, Espoo, Finland. It is especially useful in rapid inverse filtering and parametrisation of large amounts of pre-segmented vowels.

滤波模板为 m=3,5,7对加噪正弦信号的滤波的实现和显示 (Filter template for m = 3,5,7 plus noise filtering to achieve sinusoidal signal and display)

matlab函数速查手册 全面覆盖MATLAB的各类应用；查询方便：提供功能索引和字母索引；实例丰富：每个函数均配有实例讲解。(MATLAB function inquiry handbook)

说明：  试过，可以。遗传算法源代码，来自一本matlab书，在这分享(genetic algorithm)

基于直方图的均衡化和规 定化处理的图像增强技术基本原理,给出了相关推导公式和算法 同时,以一个灰度图像为例,用MATLAB 语言实现了直 方图均衡化和规定化增强处理(Based on histogram equalization and processing requirements of the basic principles of image enhancement technology, gives the derivation of formulas and algorithms related the same time, a grayscale image, for example, using MATLAB language to implement the provisions of histogram equalization and enhancement)

五组在matlab中应用的小程序：（1）carspls and carsplslda，竞争性自适应重加权算法（cars）筛选特征变量，并建立PLS定量或定性模型（2）mcuvepls 蒙特卡罗抽样无关信息消除后，建立PLS定量和定性模型（3）osc，正交信号校正的多变量数据处理方法（4）plot cars-lda-mcs,表征cars-lda-mcs的结果（5）demo 对以上carspls and carsplslda，mcuvepls 方法在matlab中实现举例演示(Five groups codes in matlabapplication: (1) carspls and carsplslda, competitive adaptive re-weighted algorithm (cars) for characteristic variables selection, and the establishment of PLS ​ ​ quantitative or qualitative model (2) mcuvepls， Monte Carlo sampling and the uninformative variables elimination （UVE）， and the establishment of quantitative and qualitative PLS model (3) Orthagnal signal correction（osc）, multivariate data processing method (4) plot cars-lda-mcs, characterization results of cars-lda-mcs (5) the demo about carspls and carsplslda, mcuvepls method implementation in matlab)

详细介绍雷达工作原理的一本书籍，直接进入主题，废话不多(introduce the theory of radar)

基本的多维优化算法，如最速下降法，牛顿法以及高斯牛顿法等(Basic multidimensional optimization algorithms, such as the steepest descent method, Newton method and Gauss Newton method, etc.)

this code of Particle Swarm Optimization algorithm