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说明：  d基于matlab的dtft算法，已通过验证，放心可用(dtft)

Solving Diffrential equtions

Lilliefore test matlab代码(matlab code for Lilliefore test)

svkernel函数为核函数 ,容易实现 , 参照核函数的公式编写代码就成(matlab)

《MATLAB工程数学》用到的部分程序。(" MATLAB Engineering Mathematics" used part of the program.)

本文提出了一种适用于低轨卫异扩频通信系统的多普勒频移快捕方法.该方法基于数字匹配滤波器及自动频率控制环路_利用数字匹配滤波器的囚码快捕特性及其输出主相关峰值对频偏的敏感性，缩短多普勒频移的 捕获时间.论文首先推导了多普勒频移的平均捕获时间表达式，然后根据数值分析结果得到了准最佳捕获判决策略，最后通过比较验证了该快捕方法相对于传统串行捕获方法在性能上的提高. (This paper presents a low-orbit health for different spread spectrum communication system fast catching the Doppler shift method, which based on digital matched filter and automatic frequency control loop _ prisoners using digital matched filter code features rapid acquisition and the output of the main correlation peak frequency deviation of the sensitivity of the Doppler frequency shift to shorten acquisition time. paper first derive the mean Doppler shift acquisition time expression, then the numerical results obtained quasi-optimal capture decision strategies, and finally verified by comparing with the rapid acquisition method to capture the traditional method of serial improvement in performance.)

Today, there is almost no area of technical endeavor that is not impacted in some way by digital image processing.We can cover only a few of these applications in the context and space of the current discussion. However, limited as it is, the material presented in this section will leave no doubt in the reader’s mind regarding the breadth and importance of digital image processing.We show in this section numerous areas of application, each of which routinely utilizes the digital image processing techniques developed in the following chapters. Many of the images shown in this section are used later in one or more of the examples given in the book. All images shown are digital.

matlab实验的一个部分，比较简单和实用，有指导意义。(Matlab a part of the experiment, is simple and practical, has significance.)

用MATLAB仿真DTMF,分为生成和检测两个部分(use MATLAB to simulate the DTMF including generation and detection)

独立成分分析算法降低原始数据噪声，包括AHP，因子分析，回归分析，聚类分析，与理论分析结果相比，最小二乘回归分析算法，虚拟力的无线传感网络覆盖，考虑雨衰 阴影 和多径影响，matlab小波分析程序，大学数值分析算法。( Independent component analysis algorithm reduces the raw data noise, Including AHP, factor analysis, regression analysis, cluster analysis, Compared with the results of theoretical analysis, Least-squares regression analysis algorithm, Virtual power wireless sensor network coverage, Consider shadow rain attenuation and multipath effects matlab wavelet analysis program, University of numerical analysis algorithms.)