fir-filter

training phase of speech recognition project

数字调制技术的发展日新月异现如今信息技术不断的推陈出新，信息的传输及通信起着支撑作用。而对于信息的传输，数字通信已经成为重要的手段。因此，数字信号的调制就显得非常重要。数字调制是通信系统中最为重要的环节之一，而实现数字调制需要的方法就需要用键控法来实现，比如可以对载波的振幅、频率和相位进行键控。(ASK , FSK , PSK modulation and demodulation of the simulation comparison )

matlab 画3d的心形图。用matlab实现。(matlab draw 3d heart-shaped figure. Using matlab.)

非负矩阵分解，测试cbcl,orl,swimmer数据集程序，画图程序(NMF, test cbcl, orl, swimmer data collection program, drawing program)

This model were build to simulate flicker when switches the big load to the network. The result show that, when switches the load, voltage and current fluctuate and make flicker.

本书附带光盘中包括了全书所有实例对应的MATLAB的M文件。所有代码按照章节存放在各个文件夹下，如“第4章 插值”文件夹下存放了本书第4章所有的算法程序代码，对于算法的程序代码，在光盘中存为同函数名的M文件，例如，Language.m表示求已知数据点的拉格朗日插值多项式的程序，依此类推。(Book with CD-ROM includes all instances of the book corresponds to the MATLAB M-file. All code is stored in accordance with chapters in every folder, such as " Chapter 4 interpolation" folder stored under chapter 4 of the algorithm all the code for the algorithm of the program code, stored on CD-ROM for the same function name in the M file, for example, Language.m known data points that seek Lagrange polynomial interpolation procedures, and so on.)

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

说明：   matlab函数，可实现golay编码和译码，包括（23，11）和（24，12，8） (matlab function, can be realized golay encoding and decoding, including the (23,11) and (24,12,8))

this is the code for low energy adaptable clustering heararchy

学好数字图像处理，学好matlab，学好vc++,怎么能少了位图转灰度图像c++源码。(you will succeed.)