kuwahara_filter

说明：  基于MATLAB的双音多频电话模拟^^^^^^^(failed to translate)

MATLAB讲解，有详细的设计方法和图示，对初学者是很好的一本资料(MATLAB explanations, detailed design and icons, for beginners is a good information)

MATLAB is a software package for doing numerical computation. It was originally designed for solving linear algebra type problems using matrices. It’s name is derived from MATrix LABoratory.

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)

LUV conversion to RGB

系统辨识理论及Matlab仿真刘金琨,沈晓蓉,赵龙程序源代码(System Identification Theory and Matlab simulation, Hangzhou, Shen Xiaorong, ZHAO source code)

ABC（人工蜂群算法）和混沌鲶鱼ABC求函数极值( ABC (artificial bee colony algorithm) and Chaos seek function extreme catfish ABC)

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

语音识别，基于DTW算法的语音识别原理与实现，包含源程序，MATLAB(Speech recognition, speech recognition algorithm based on DTW Principle and Implementation, including source code, MATLAB)

离散无记忆信源是一种最简单且最重要的信源，可以用完备的离散型概率空间来描述。本实验通过计算给定的信源的熵，加深对信源及其扩展信源的熵的概念的理解。(Discrete memoryless sources is one of the most simple and most important information source, can be used to describe a complete discrete probability space. In this study, by computing the entropy of a given source, to deepen understanding of the source and the expansion of the concept of entropy of the source. )