Practical-signal-theory

image fusion using particle of swarm optimastion

这是一个关于人脸识别的MATLAB程序。。。。。。。(face detection)

rao-blackwellised data association partical filters

matlab simulation of transformer including: Short-circuit and RL Load Terminations, Open-Circuit Termination In-rush Current, Autotransformer Connection,Delta-Wye Transformer:Voltage and Current Ratios Zero-Sequence Current

是图像修复，利用维纳滤波的方法实现的图像复原，自己编的程序(Image restoration )

说明：  信道编码中使用的两种法尔码算法程序，可以用于GSM系统的信道外编码部分。(channel coding used in both Fall code algorithm, which can be used GSM system outside the channel coding.)

针对灰度图像，提出一种基于知识的人脸检测方法。 提出了一种给予支持向量机的人脸检测方法。 提出了一种基于小波分解的LDA人脸识别方法。 提出了一种基于小波和DCT的人脸识别方法。 提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。 (For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wavelet decomposition of the LDA-based face recognition methods. A wavelet and DCT-based face recognition methods. A CEDT opportunities and support vector machine classification and face recognition.)

document contenant un projet sur la compression audio par ondelettes et son code matlab

QWT code for Disparity Estimation.

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)