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该段程序完成了由输入信号抽样值到pcm的编码过程.(The section of program completed by the input signal value to the pcm coding process.)

It is a three dimensional interpolation with tricubic convolution interpolation,which is the method used in Matlab.But, it is more useful and faster the the code implement by Matlab.

systemprogromming of defs.h,pack.c,unpack.c

一个关于神经网络的 SOFM算法的程序 改程序用C语言编写(A SOFM neural network algorithm on the procedure to change procedures for using C language)

本文详细介绍了如何实现VC与Matlab的混合编程，对于进行复杂的运算有很好的用处(This paper describes how the VC and Matlab programming mix, for complex calculations to good use)

VC++和MATLAB引擎混合编程，实现正弦曲线的绘制(VC++ and MATLAB programming hybrid engine, the realization of the mapping sinusoid)

prony工具箱用于对信号进行prony分析，(We have designed a software tool in MATLAB, the Prony Toolbox, to perform Prony analysis. Prony Toolbox (PTbox) is designed based on several considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

matlab中，时频峰值滤波处理地震记录时的窗长讨论代码(matlab window length, the time-frequency peak filtering processing of seismic records of discussions code)

matlab工程应用的PPT教程，是学习matlab的基础，对矩阵的讲述很详细。(engineering applications of PPT tutorial matlab, matlab is to learn the basis of the matrix describes in great detail。)