音频数字水印

混沌时间序列分析与预测工具箱 该工具箱包括了混沌时间序列分析与预测的常用方法.(Chaotic time series analysis and prediction of the toolbox toolbox includes chaotic time series analysis and prediction of the commonly used methods.)

bpsk编码很适合出学者,已经经过调试 加了个 升余弦滤波(BPSK encoding is very suitable for the academics, have been debug plus a raised cosine filter)

此函数用于IS-95前向链路系统的仿真，包括扩频调制，匹配滤波，RAKE接收等相关通信模块。仿真环境: 加性高斯白噪声信道. (This function is used in IS-95 forward link system simulation, including the spread spectrum modulation, matched filter, RAKE receiver and other related communication module. Simulation environment: additive white Gaussian noise channel.)

说明：  对心音信号进行BT功率谱估计及切比雪夫1滤波的matlab程序，可粗略提取心音频率(PSD BT chey1 matlab)

C++Builder调用matlab的COM总结. 本文就一个具体的例子介绍C++Builder5和Matlab6.5通过COM 实现混合编程的具体实现。(C++ Builder COM call matlab to sum up. This paper describes a specific example of C++ Builder5 and Matlab6.5 through COM concrete realization of hybrid programming.)

it controls the PC parallel port

sample code for ode in matlab

this file contain matlab code soure to convert image to text to speach using neuranal network

功率谱估计是分析随机信号的一种重要方法, 是信息学科的研究热点。文章介绍了现代功率谱估计中AR 模 型参数的几种典型求解算法, 并借助MATLAB 平台对各种算法的功率谱进行仿真。(The power spectrum estimation is an important method for analysis of random signals, information science research focus. The article describes several typical modern power spectrum estimation of AR model parameters algorithm with MATLAB platform to simulate the power spectrum of the various algorithms.)

说明：  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)