搜索资源列表
107551700916第九次作业
- 语音处理说话人识别 人工智能 ，实现基于VQ和GMM的说话人识别系统，通过增减训练数据或调整系统参数，对比分析一下基于VQ和GMM的说话人识别系统性能差别。(Speech processing speaker recognition, artificial intelligence realization of speaker recognition system based on VQ and GMM, through the training data increase or decrea
fisher
- 利用fisher方法实现手写体数字多分类识别，采用mnist数据集(simple program using fisher)
least_square
- 利用最小二乘法实现手写体数字识别，采用mnist数据集(simple program using least-square)
face-KNN
- 用PCA算法和KNN算法实现人脸识别，参数可以自己调整(The PCA algorithm and the KNN algorithm are used to realize the face recognition, and the parameters can be adjusted by themselves)
digital
- 实现手写体识别，并且使用自己手写的数字作为验证，得到了比较好的结果(digital recognition we get a good result at the test of our own digital writing and use the language of pyton)
LVSVM
- 该支持向量机程序可直接在matlab调用，程序的调用可用来事项matlab模式识别相关(The call of the program can be used for matlab pattern recognition related to matters.)
spkID
- 利用mFCC特征提取算法进行语音信号的特征提取，然后利用ＧＭＭ识别出特征人，计算目标得分，程序效果ＯＫ。(The extraction algorithm for feature extraction of speech signal using mFCC features, and then use GMM to identify a specific target, calculate the score, the effect of OK program.)
kasterenDataset
- 主要针对行为识别，常用数据处理方法及分类，可视化 包含数据集(Mainly for behavior recognition, commonly used data processing methods and classification, visualization Contain data sets)
testandtrain
- 利用三层卷积神经网络识别信号星座图，准确识别8psk，16psk，32psk，64qpsk四种调制方式，在低信噪比的情况下已然有良好的识别率。(The three layer convolution neural network is used to identify signal constellation, and accurately identify four modulation modes of 8PSK, 16PSK, 32psk and 64qpsk. It has a good
边界识别
- 进行图形边界识别，进一步分割网格计算面积(Graphic boundary recognition and further segmentation of grid computing area)
KL change face recognition
- KL变化人脸识别简单例程，采用KL变换决策。(KL change face recognition)
facesdk-FaceSDK-master
- 人脸识别SDK 采用C++编写，支持两张照片进行比对1:1，以及1：N 人脸搜索，SDK内部自己维护人脸特征数据，支持增、删、查找等操作，上层应用程序只需要关注自己的业务逻辑即可(Face recognition SDK is written in C++, supporting two photos to compare 1:1, and 1:N face search. SDK maintains its face feature data internally, and supports
License-Plate-Recognition-by-MATLAB-master
- 对于不同的数字字符进行不同的特征点的选取以及对于不同的字符做到精准的识别(The selection of different feature points for different numeric characters and accurate recognition for different characters)
ERA
- 模态参数识别。特征实现算法era，输入响应信号，输出模态参数(Modal parameter identification)
FaceRecognition
- 采用PCA方法实现是脸识别，并附带人脸库(The implementation of the PCA method is face recognition with a face Library)
HandGestureRecognition-master
- matlab代码调用摄像头，从而实现手势识别功能，代码没有问题(Realization of gesture recognition)
孤立汉语数字语音识别系统Matlab程序
- 实现对孤立汉语数字的识别，小白可以参考学习下(Realizing the recognition of isolated Chinese figures,Beginners can refer to learning)
2dpca的matlab源代码
- 可以实现人脸比对等简单的人脸识别功能，简单的算法，基于dpca的代码(A simple face recognition function can be realized with a face than a peer.)
BPnetwork_code
- 手写体数字识别是模式识别中一个非常重要和活跃的研究领域，数字识别也不是一项孤立的技术，它所涉及的问题是模式识别的其他领域都无法回避的；应用上，作为一种信息处理手段，字符识别有广阔的应用背景和巨大的市场需求。因此，对数字识别的研究具有理论和应用的双重意义。(Handwritten numeral recognition is a very important and active research field in pattern recognition, digital recognition
BP神经网络解决手写数字识别问题-matlab源代码
- BP神经网络解决手写数字识别问题 matlab源代码(BP neural network solves the matlab source code for handwritten digit recognition problem)