LBP

基于小波变换的图像去噪 基于小波变换的图像去噪基于小波变换的图像去噪基于小波变换的图像去噪(fegfegrhthtjtfhdrggsg)

一个简单的卡尔曼滤波例子，供初学者参考。( a simple example of Kalman filter reference for beginners.)

MATLAB中的基本语法和语句示例代码，MATLAB中基本的知识，具有实用性(MATLAB basic grammar and sentence sample code, MATLAB basic knowledge, practical)

基于maglab/simulink平台设计的利用duffing振子检测微弱正弦信号，非常好的一个源程序，自己亲自调试，运行在matlab2012b上没有问题，仿真步长0.01s,采用RK四阶算法。若有问题，欢迎指教(Based maglab/simulink platform using duffing detect weak sinusoidal oscillator signal, a very good source, personally commissioning, operation without problems on matlab2012b, simulation step 0.01s, using the fourth-order RK algorithm. If questions, please advise)

图象TV去噪,它是一个著名的图象去噪模型,能保持边沿(TV denoising images, it is a well-known image denoising model, able to maintain the edge)

是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统(Are two examples of more integrated, namely Visual C++ implementation of text based on neural networks and the license plate recognition system positioning systems)

无线传感器网的leach协议的实现。基于matlab。。(Wireless sensor networks leach protocol implementation. Based on matlab. .)

说明：  基于双耦合Duffing振子的随机相位正弦信号检测 采用双耦合混沌振子阵列实现了随机相位微弱正弦信号的检测，在此基础上，提出了新的检测方法，即利用单个耦合混沌振子，通过临界及周期状态 的变化检测随机相位微弱正弦信号并大致估计信号相位范围，该方法比双耦合混沌振子阵列法简单，更易于实现。(Based on double coupled Duffing oscillators random phase sine signals detected by two coupled chaotic oscillator arrays to achieve a random phase weak sinusoidal signal detection, in this basis, the proposed new detection methods, namely the use of a single coupled chaotic oscillators, through the critical and the cycle random phase state change detection and generally weak sinusoid signal phase estimated the scope of the method than the two-coupled chaotic oscillators array method is simple and more easy to implement.)

求解线性矩阵不等式的程序，简单明了，有注释，对于学习LMI有很好的帮助(Procedures for solving linear matrix inequalities, simple and clear, with annotations, very good for learning with the help of LMI)

MATLAB实现霍夫曼编码对英文文本的解压缩程序(MATLAB Huffman coding for the English version of decompression procedures)