fish

利用过绿色作为分类方法，分成两类后，应用马尔科夫随机场进行分割。(Made use of green as the classification method, after divided into two categories, the application of Markov random segmentation.)

包括最小二乘法、SVM、神经网络、1_k近邻法,BP神经网络用于函数拟合与模式识别，在MATLAB中求图像纹理特征，代码里有很完整的注释和解释，通过反复训练模板能有较高的识别率。(Including the least squares method, the SVM, neural networks, 1 _k neighbor method, BP neural network function fitting and pattern recognition, In the MATLAB image texture feature, Code, there are very complete notes and explanations Through repeated training jLKGpfTlate have higher recognition rate.)

基于小波变换的数字水印算法matlab代码，结合PCA的尺度不变特征变换(SIFT)算法，有详细的注释。( Based on wavelet transform digital watermarking algorithm matlab code, Combined with PCA scale invariant feature transform (SIFT) algorithm, There are detailed notes.)

本程序实现了kalman滤波和在坐标和速度上的误差计算(This procedure implements the kalman filter and the coordinates and speed of calculation errors)

matlab 滤波器设计工具箱的使用说明，含有很多例子。(matlab-filter)

说明：  RS码(Reed—Solomon码)是多进制BCH码，也是目前最有效、应用最广泛的差错控制编码。它具有很强的纠错能力，随机错误、突发错误都能纠正，特别是在短的和中等码长其性能接近于理论值。再加上构造方便，编码简单，设备不复杂，因此在实时性要求较高的数字通信及深空通信方面有广泛应用(RS code ( Reed- Solomon code ) is a multiple of BCH code, is currently the most effective, the most widely used error control coding. It has a strong error correction ability, random error, burst error can be corrected, especially on short and medium length code performance close to the theoretical value. Plus convenient construction, simple coding, equipment is not complex, so the real-time digital communication and deep space communication is widely used )

典型信号的调制解调以及性能分析，毕业设计要求，绝对好用(Typical signal modulation and demodulation, and performance analysis, graduation requirements, absolutely easy to use)

maltlab实现通信原理中的调制解调程序。已经过测试，效果很好。请用吧(maltlab realize the communication theory of modulation and demodulation process. Has been tested with good results. Please use it)

ECG QRS DETECTION( HEART BEAT IN ONE MINUTE 心率检测版权属于D.K. Ravish Bangre (ECG QRS DETECTION( HEART BEAT IN ONE MINUTE by D.K. Ravish Bangre )

说明：  人脸检测 123456789012323456780(face detec)