zhuangtaikongjianjidian

给出了通过matlab设计IIR低通滤波器的程序，并通过程序把在DSP中所用到的变量计算出来，很有价值。(Matlab given by IIR low-pass filter design procedures, and procedures used in the DSP in the calculated variables, very valuable.)

精通matlab综合辅导与指南(proficient Matlab comprehensive counseling and guidance )

basics of matlab in ppt

对正选信号进行仿真，并分别通过时域和频域对其延迟，对比延迟效果(A signal being selected for simulation, respectively, through the effect of the time and frequency domains its delay, Comparative delay)

在程序设计和调试过程中①只要在程序中增加类似m或n的循环语句，便可用神经网对三维或三维以上的非线形函数训练，也可以用在复杂系统二个以上独立变量、任意维非线性动态参数的辨识(In program design and debugging process ① similar increase in the program as long as m or n of the loop, you can use the neural network over a three-dimensional or three-dimensional non-linear function of training, can also be used in a complex system, two or more independent variables, any dimension Parameter identification of nonlinear dynamic)

blind image watermarking...........image hidding in image using SVD

本程序的性能已经达到较高水平，matlab程序运行时导入数据文件作为输入参数，均值便宜跟踪的示例，各种资源分配算法实现，对于初学matlab的同学会有帮助，具有丰富的参数选项。( The performance of the program has reached a high level, Import data files as input parameters matlab program is running, Example tracking mean cheap, Various resource allocation algorithm, Matlab for beginner students will help, It has a wealth of parameter options.)

说明：  基于互质采样-分段相参积累多项式相位变换的微弱线性调频信号检测算法。该代码的相关论文以oral presentation的形式发表于2018年10月在南京举行的IET国际雷达会议。(Multi-component LFM parameter estimation via order-2 DPT (overlapping and coprime) Author: Dr. Shengheng LIU)

对于Solder Mask Layers 和Paste Mask layers这个两个概念，有很多初学者不太理解这两个层的概念，本文做了一个通俗易懂的解释(an article about Solder Mask Layers and Paste Mask layers)

线性相关 求逐月异常序列x(n,12)和y(n,12)(n是年)的相关系数r(24)，其中j=1～12是1～12个月的情形，13～22是冬、春、夏、秋、冬季逐月、春季逐月、夏季逐月、秋季逐月、逐月、年、冬半年逐月（NDJFMA）、夏半年逐月（MJJASO）的序列的情形。(Linearly related to demand monthly abnormal sequence x (n, 12) and y (n, 12) (n is the year) the correlation coefficient r (24), where j = 1 ~ 12 1 ~ 12 months is the case, 13 22 is a winter, spring, summer, autumn and winter month by month, month by month in spring, summer, month by month, the monthly fall, month by month, year, month by month in winter (NDJFMA), summer half year monthly (MJJASO) the sequence circumstances.)