资源列表
hf_generate3method
- 线性调频信号（FLM）脉冲压缩的参考函数的三种的实现方式-Implementation of the chirp signal (FLM) three of the reference pulse compression function
mycoe
- 线性调频信号脉冲压缩 用matlab生成coe文件以导入xilinx fpga -Chirp signal pulse compression using matlab generated COE file to import xilinx fpga
ImagePulseCompression
- 合成孔径雷达成像的matlab仿真 条带SAR 3个点目标-Matlab simulation of synthetic aperture radar imaging bands SAR point target
alzheimers_classifier
- 基于马氏分类器的阿兹海默氏症分类器，课程练习-Based on Mahalanobis classifier classifier of Alzheimer' s disease
music
- 利用matlab实现音乐合成的功能，合成了《东方红》，并且去除了啪啪声，此外对音乐的音色记性了各种改进。-Using matlab to achieve the function of music synthesis, synthesis " East is Red" , and removes pops, in addition to the sound of music memory various improvements.
LEVY
- levy法编制辨识程序，基本精确辨识了系统各个参数，因为误差准则的原因，系数略有差别。-levy convention identification procedures, precise identification of the basic parameters of the system, because of the reason of the error criterion, the coefficient slightly different.
w
- 利用matlab实现下面的问题：其中u(k)和z(k)分别为模型的输入和输出变量；v(k)为零均值、方差为1、服从正态分布的白噪声；为噪声的标准差；利用得到的u(k)和z(k)来辨识模型的阶次和参数。-Using matlab to achieve the following questions: where u (k) and z (k) respectively, the input and output variables of the model v (k) with zero mea
exp1
- matlab程序实现下面的功能：过程的输入驱动采用M序列，即u(k)是一个M序列。过程传递函数G(s)中K=120，T1=8.3Sec，T2=6.2Sec。过程的脉冲响应理论值g(k)满足。根据过程的输入输出数据u(k)和z(k)，利用相关分析算法估计出过程的脉冲响应值g2(k)，并且有。-Process input is driven by the M sequence, i.e., u (k) is an M sequence. Process transfer function G (s)
a
- C语言实现下面的功能：过程的输入驱动采用M序列，即u(k)是一个M序列。过程传递函数G(s)中K=120，T1=8.3Sec，T2=6.2Sec。过程的脉冲响应理论值g(k)满足。根据过程的输入输出数据u(k)和z(k)，利用相关分析算法估计出过程的脉冲响应值g2(k)。-Process input is driven by the M sequence, i.e., u (k) is an M sequence. Process transfer function G (s) K = 120,
matlabhuatu
- 在matlab里面实现三维图的分割、sin函数产生、极坐标画图、图形颜色变化等。适合matlab入门调试以及熟悉画图插件。-Matlab inside the segmentation of the three-dimensional map the sin function generates, polar coordinate drawing, graphic color change. Matlab entry, debugging and familiar drawing plug.
radmin
- 这款是影子版的，不会被服务器管理员发现。-This is the shadow version, will not be found by the server administrator.
K_means
- k均值算法实现聚类,利用数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则-k-means clustering algorithm, the use of the data points to the prototype of a distance as the objective function of optimization, the use of function extremum iteration adjustment rules