fdtd-matlab

进行T分布检验，专门用于极值分析，如果有极值分析的需要可以进一步联系我！(T distribution for testing, specifically for the extreme value analysis, if there are extreme needs analysis can further contact me!)

SUSAN算法，包括去除伪角点的方法，重心，非极大值抑制(SUSAN algorithm, including the method of removing false corners)

This is a solution manual of Probability of random signal.

Ansi To Ascii and Ascii to Ansi converter

全自由度空时自适应处理,加载数据后可以直接运行(Full freedom of space-time adaptive processing, loading data can be run directly)

数字信号处理理论算法与实现第二版（胡广书），介绍数字信号处理当中用到的各种变换以及数字滤波器的设计方法。经典教材。(digital signal processing by guguangshu)

Parameter+Estimation+and+Inverse+Problems 该书的配套光配内容(Parameter+ Estimation+ and+ Inverse+ Problems with the contents of the book' s supporting light)

说明：  观察高斯序列 的时域和幅频特性。 ①固定p=8，q分别等于2、4、8，观察它们的时域和幅频特性，了解当q取不同值时，对信号序列的时域和幅频特性的影响 ②固定q=8，p分别等于8、13、14，观察p变化对信号序列时域和幅频特性的影响，注意p等于多少时，会发生明显的泄露现象，混叠是否也随之出现？记录实验中观察到得现象，绘出相应的时域序列和幅频特性曲线(Observed Gaussian sequence in time domain and amplitude-frequency characteristics. ① fixed p = 8, q is equal to 2,4,8 respectively, to observe them in time domain and amplitude-frequency characteristics, to understand when the different values of q, the signal sequence in time domain and amplitude-frequency characteristics of ② fixed q = 8 , p is equal to 8,13,14 respectively, to observe the changes in the signal sequence p in time domain and amplitude-frequency characteristics, note that p is equal to the number when the apparent leakage phenomenon, aliasing is also gone? Records of the experiment was observed phenomenon, draw the corresponding time-domain sequence and amplitude-frequency characteristic curves)

小波变换 ，平稳小波变换，对信号进行8层分解，对第4层处理(Wavelet transform)

国内节点优化算法书籍，内容丰富，算法齐全，实用性较强。定理的证明和算法的准导主要以数学分析和线性代数为基础，简明易学。(Domestic node optimization book, rich in content, the algorithm is complete, practical, strong. Theorems and algorithms quasi-proof guide mainly in mathematical analysis and linear algebra-based, concise and easy to learn.)