chap4

LSB图像水印的MATLAB实现，欢迎大家下载 (LSB watermark)

1求矩阵中的 最大值 并返回所在的行数与列数。2判断一组数据满足什么分布，包括泊松分布、正态分布、卡方分布、T分布等。3 检验线性方程组 系数的输入是否有误。(1 find the maximum value and returns the matrix where the rows and columns. 2 to determine what set of data to meet the distribution, including Poisson, normal, chi-square distribution, T distribution. 3 Coefficient of linear equations test input is wrong.)

This text deals exclusively with signal processing of digital data, although Chapter 1 briefly describes analog processes commonly found in medical devices. This text should be of interest to a broad spectrum of engineers, but it is written specifically for biomedical engineers (also known as bioengineers). Although the applications are different, the signal processing methodology used by biomedical engineers is identical to that used by other engineers such electrical and communications engineers. The major difference for biomedical engineers is in the level of understanding required for appropriate use of this technology. An electrical engineer may be required to expand or modify signal processing tools, while for biomedical engineers, signal processing techniques are tools to be used.

说明：  神经元整合发放模型。输入刺激参数可以获得一段时间内的动作电位(integrate and fire model.)

This prorgam calculates Bit error rate on awgn channel with a particular Eb/No values and plot the graph of BEP(Bit Error Probability) against Eb/No.

迭代小程序，可以根据参数变化导出倍周期分叉图，从而研究有序与混沌的关系。(Iterative small program that can export period doubling bifurcation diagram according to the parameter changes, which studies the relationship between order and chaos.)

Realtime sound acquisiton and processing using matlab

It shows the results for PD vs. SNR for energy detector based on different sample numbers.

Advanced Numerical Methods Jacobi

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)