EXTENDED_KALMAN_FILTER_example

多用户的高斯信道CDMA仿真，可以模拟传输三路语音信号(Multi-user Gaussian CDMA channel simulation can simulate the three-way voice signals transmitted)

短时傅立叶变换(STFT)源代码,用语非稳态信号的时频联合描述,可直接用于matlab程序之中.无解压密码.(short-time Fourier transform (STFT) source code, the language of non-stationary signals to the joint time-frequency description, Matlab can be used directly in procedures. No extract passwords.)

阈值模型系统仿真，每个智能体向不同方向的移动的代码(Threshold model system simulation, each agent in different directions of movement of the code)

motion tracking to detect and track moving objects through a sequence of images

Fuzzy C Means For Clustering

语音识别技术的最终目标是要让计算机能与人自由交谈。目前，连续语音识别技术正趋于成熟，语音识别也延伸出了诸多实用化的研究方向。今后，语音识别的重点将集中在自然话语识别与理解、实时语音识别和语音识别鲁棒性等方面。作为一门交叉学科，语音识别所涉及到的技术有信号处理、模式识别、概率论和信息论、发声机理、听觉机理和人工智能等。(The ultimate goal of speech recognition technology is to make computers and allowing others to speak freely. At present, continuous speech recognition technology is maturing, voice recognition is also extended out a lot of practical research directions. In the future, speech recognition will focus on Spontaneous Speech Recognition and Understanding, real-time speech recognition and speech recognition robustness and so on. As an interdisciplinary subject, speech recognition technology involved in a signal processing, pattern recognition, probability theory and information theory, vocal mechanism, hearing mechanism and artificial intelligence.)

本程序先生成一个“Blocks”信号，然后加上高斯白噪声，再用 db3 小波进行分解，(This procedure Mr. Cheng a " Blocks" signal, and then adding white Gaussian noise, and then ' db3' wavelet decomposition,)

很不错的Matlab课件，从入门到进阶，尤其适合初学者，我不久前学习用过的。(Matlab is very good courseware, from entry to advanced, especially suitable for beginners, I used recently to study.)

matlab环境下实现的二维图像的mallat小波算法的多进制小波分解(matlab environment to achieve the two-dimensional image of mallat wavelet multi-band wavelet decomposition algorithm)

主要利用粒子滤波进行人体跟踪,能很好地进行人体跟踪(The main use of the particle filter for human body tracking, can be used for human body tracking)