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利用M序列实现系统的结构辨识和参数辨识，有些很好的辨识效果-Use of M sequence to achieve the system' s structure identification and parameter identification, and some very good recognition results
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Gradient information serves several purposes. It can relate
the structure of objects in an image, identify features of interest
for recognition/classification directly or provide the basis of further
processing for various computer vision
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本文基于马赫-泽德干涉结构的分布式光纤传感系统，采用模式识别的思想，详细论述了信号特征辨识和提取方法，提高了定位准确度，减少了误报！-Based on Mach- Zehnder interferometer structure of the distributed optical fiber sensing system, using pattern recognition idea, discussed in detail the signal feature recognition and
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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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人脸识别的LPP方法的源代码，保局投影(LPP)作为拉普拉斯特征映射的一种线性逼近可以较好的反映样本的流形结构-LPP method for face recognition source code, locality preserving projection (LPP) manifold structure as a linear Laplasse feature mapping approach can better reflect the sample
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- Color provide an important clue for extracting the new color LBP histogram features for face recognition using Local Binary Pattern technique. To reduce redundancy RGB color space converted to YCbCr color space. The Local Binary Pattern is a non pa
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通过学习BP神经网络技术，对手写数字进行识别，基于结构的识别法及模板匹配法来提高识别率。-Through the study of BP neural network technology, digital handwriting identification, structure-based identification method and template matching method to improve the recognition rate.
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通过基于HMM的语音识别系统的基本结构,详细介绍了语音信号采集、预处理、MFCC特征参数提取、HMM训练和HMM识别等主要模块的基本原理 并针对实际应用中HMM存在的模型初始化和数据溢出等问题进行分析,引入了一些能提高系统性能的相应措施。-By the basic structure of HMM-based speech recognition system, details the basic principles of audio signal acquisition, preproces
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实验一：基于LMS算法的“苹果-橘子”分类问题
实验二：基于LMS算法的T-G-F字符识别问题
通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现
2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告
-Experiment 1: Based on LMS Algorithm Apple- Orange classificati
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ICA（主分量分析）算法和程序，基于多相结构的信道化接收机，BP神经网络用于函数拟合与模式识别。- ICA (Principal Component Analysis) algorithm and procedures, Channelized receiver based on multi-phase structure, BP neural network function fitting and pattern recognition.
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基于多相结构的信道化接收机，信号处理中的旋转不变子空间法，基于掌纹识别的在线身份验证 识别算法本科毕设。- Channelized receiver based on multi-phase structure, Signal Processing ESPRIT method, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity.
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完整的基于HMM的语音识别系统，最终的权值矩阵就是滤波器的系数，基于多相结构的信道化接收机。- Complete HMM-based speech recognition system, The final weight matrix is ??the filter coefficient, Channelized receiver based on multi-phase structure.
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基于多相结构的信道化接收机，包含特征值与特征向量的提取、训练样本以及最后的识别，自写曲率计算函数 。- Channelized receiver based on multi-phase structure, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Since writing the curvature calculation funct
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基于掌纹识别的在线身份验证 识别算法本科毕设，一个计算声子晶体结构的一维传递矩阵法,多机电力系统仿真及其潮流计算。- Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, A one-dimensional transfer matrix method to calculate the phonon crystal structure,
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包括最后计算压缩图像的峰值信噪比和压缩效果的源码,实现了对10个数字音的识别程序一个计算声子晶体结构的一维传递矩阵法。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Realization of 10 digital audio recognition program A one-dimensional trans
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Matlab实现界面友好，基于多相结构的信道化接收机，可以实现模式识别领域的数据的分类及回归。- Matlab to achieve user-friendly, Channelized receiver based on multi-phase structure, You can achieve data classification and regression pattern recognition.
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基于多相结构的信道化接收机，微分方程组数值解方法，Gabor小波变换与PCA的人脸识别代码。- Channelized receiver based on multi-phase structure, Numerical solution of differential equations method, Gabor wavelet transform and PCA face recognition code.
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调试通过可以使用，基于多相结构的信道化接收机，空间目标识别，采用PM算法。- Debugging can be used, Channelized receiver based on multi-phase structure, Space target recognition algorithm using PM.
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用于信号特征提取、信号消噪，可以实现模式识别领域的数据的分类及回归，基于多相结构的信道化接收机。- For feature extraction, signal de-noising, You can achieve data classification and regression pattern recognition, Channelized receiver based on multi-phase structure.
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可以实现模式识别领域的数据的分类及回归，基于多相结构的信道化接收机，完整的图像处理课设，包含所有源代码，汽车图像。- You can achieve data classification and regression pattern recognition, Channelized receiver based on multi-phase structure, Complete class-based image processing, contains all of the source
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