Chapter_3

Voice detection using zero crossing rate and STE

小波神经网络研究的进展及一种新算法，希望可以抛砖引玉(WNN progress of the studies and a new algorithm, hope to start)

书名：现代控制引论教程 Matlab辅助实验 本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。 (Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters: Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model Chp3 is the system state analysis Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control- minimum principle and dynamic programming Chp8 and 9, respectively, on control theory The two branches: the state of stochastic)

实现谱减法，很实用，有四种图形显示，带颜色的，可以直接调用，需要voicebox工具包(o achieve spectral subtraction, it is practical, four graphic display, with color, you can directly call, you need the voicebox toolkit)

The Phantom of instantaneous

pdf para el estudio de markov

简单的MATLAB对各种文件的读取，适合初学者入门学习使用。(Simple MATLAB to read the various documents, suitable for beginner to learn to use.)

Dental xray and photograph based identification system

运动估计，对已给模板及视频序列估计出下一帧的模板情况，视频序列及第一帧模板需要自己给出。(Motion estimation. Based on given mask and image sequencies to estimate mask of next frame. Image sequence and first-frame-mask are not given.)

matlab函数，专门计算列车车体横向sperling平稳性指标。调用方式：y=lridex(acc)，其中acc为测得的或仿真得到的车体横向加速度（不包括时间列）。(matlab function, specifically calculate the train body lateral sperling smooth indicators. The invocation: y = lridex (ACC), wherein acc obtained for the measured or simulation vehicle body lateral acceleration (not including the time column).)