搜索资源列表
Huffman-coding
- 通信的数字化是它能与计算机技术和数字信号处理技术相结合的基础，而实现通信数字化的前提是信源能提供的各种用于传递的消息，例如语音、图像、数据、文字等都必须以数字化形式表示。而信源编码是数字通信系统中的重要组成部分，他是保证信号有效传输的一种重要方式。霍夫曼编码依据字符出现的概率来构造异字头的平均长度最短的码字，有时称之为最佳编码，其优越的性能被广泛使用在数字通信系统中。霍夫曼编码已经成为数据压缩的灵魂算法。本文介绍了无失真编码算法的构造，霍夫曼编码的规则和特点，同时分析了对信源进行优化的方法，最后
BP
- 0案例分析\MATLAB神经网络30个案例分析\源程序\案例1 BP神经网络的数据分类-语音特征信号分类-0 Case Study \ MATLAB neural network analysis of 30 cases \ source \ Case 1 BP neural network data classification- voice characteristic signal classification
BP
- BP神经网络的数据分类-语音特征信号分类-BP matlab
ARmodelLPCmethods
- 使用Matlab AR模型的LPC函数来做特征值提取。传统方法中LPC一般用来做语音处理。这里每100个数据来做LPC，用获得的N阶参数来作为振动信号的特征值。这样10000个样本可以获得100个特征值样本集。用这些样本集可以做神经网络分类-Matlab AR model LPC function to do eigenvalue extraction. Conventional method LPC generally used for voice processing. Do LPC, wh
hmmrecongition
- 基于HMM的语音识别系统的MATLAB仿真，采用多数据同时训练法训练模板-Speech recognition system based on HMM of MATLAB simulation, using much data at the same time training method training template
eg1-yuyantezhengxinhaofenlei
- 《MATLAB神经网络30个案例分析》中的第一个例子，案例1 BP神经网络的数据分类-语音特征信号分类。希望对大家有用！ -" MATLAB neural network 30 case studies" in the first example, case 1 BP neural network data classification- speech feature signal classification. I hope useful!
BP-Network
- Matlab中，BP神经网络的数据分类研究之语音特征信号分类。非常有用的源代码-Matlab, the voice data of the BP neural network classification of the characteristic signal classification.
SP-kalman_Matlab
- kalman滤波器经典入门matlab程序 [Simulink_kalman.rar] - 实现kalman滤波算法，通过跟踪，估计物体运动轨迹。-,matlab,matlab例程/matlab，做了仿真 [matlab.rar] - 收集的matlab，simulink的全部基本命令，方便大家查阅！ [selfadptivesignalprocess.rar] - 自适应信号处理算法的实现，非常有价值 [pcm.rar] - 语音编码方案的选取对移动通信系统的通话质量
master2
- 基于GMM-HMM的语音识别程序,自带训练和测试数据，使用的是MATLAB。-GMM-HMM-based speech recognition program, comes with the training and test data, using MATLAB.
BP--for-classification
- MATLAB智能算法案例分析—— BP神经网络的数据分类-语音特征信号分类-MATLAB intelligent algorithm Case Study- BP neural network data classification- the speech characteristic signal classification
sieheng
- 语音信号的采集与处理，数字信号处理课设，雅克比迭代求解线性方程组课设,内含心电信号数据及运用MATLAB写的源代码。- Acquisition and Processing of the speech signal, digital signal processing class-based, Jacobi iteration for solving linear equations class-based, ECG data and includes source code written i
BPNN
- 采用matlab实现BP神经网络的数据分类-语音特征信号分类-BP neural network using matlab realize data classification- the speech characteristic signal classification
naobei
- 内含心电信号数据及运用MATLAB写的源代码，语音信号的采集与处理，数字信号处理课设，包含优化类的几个简单示例程序。- ECG data and includes source code written in MATLAB, Acquisition and Processing of the speech signal, digital signal processing class-based, Optimization class contains several simple sample
leilui
- 内含心电信号数据及运用MATLAB写的源代码，真的是一个好程序，语音信号的采集与处理，数字信号处理课设。- ECG data and includes source code written in MATLAB, Really is a good program, Acquisition and Processing of the speech signal, digital signal processing class-based.
taiseng
- 语音信号的采集与处理，数字信号处理课设，matlab程序运行时导入数据文件作为输入参数，基于kaiser窗的双谱线插值FFT谐波分析。- Acquisition and Processing of the speech signal, digital signal processing class-based, Import data files as input parameters matlab program is running, Dual-line interpolation FFT
menfeng
- 用MATLAB实现动态聚类或迭代自组织数据分析，完整的基于HMM的语音识别系统，到达过程是的泊松过程。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Complete HMM-based speech recognition system, Arrival process is a Poisson process.
BP-CLASSIFY-OF-SIGNAL
- MATLAB神经网络30例书课后附的案例源程序 BP神经网络的数据分类-语音特征信号分类-MATLAB neural network 30 cases of after-school book case attached source BP neural network data classification- the speech characteristic signal classification
tietai
- 可实现对二维数据的聚类，完整的基于HMM的语音识别系统，使用matlab实现智能预测控制算法。- Can realize the two-dimensional data clustering, Complete HMM-based speech recognition system, Use matlab intelligent predictive control algorithm.
juinei_v40
- 完整的基于HMM的语音识别系统，分形维数计算的毯子算法matlab代码,数据模型归一化，模态振动。- Complete HMM-based speech recognition system, Fractal dimension calculation algorithm matlab code blankets, Normalized data model, modal vibration.
neifie_v72
- 利用matlab写成的窄带噪声发生，完整的基于HMM的语音识别系统，数据模型归一化，模态振动。- Using matlab written narrowband noise occurs, Complete HMM-based speech recognition system, Normalized data model, modal vibration.