搜索资源列表
cic_40Mhz
- 40MHz的CIC滤波器的FPGA设计，内容很完备-CIC filter of FPGA design in 40MHz，content is complete
jquery.searchableSelect
- jQuery搜索匹配下拉框美化代码基于jquery-1.11.1.min.js和jquery.searchableSelect.js制作，简单而人性化，为select下拉框创建一个搜索栏来快速筛选出你想要的内容，支持切换操作。-jQuery drop-down box to search for matching beautify code is based on jquery-1.11.1.min.js and jquery.searchableSelect.js production, si
kalman
- matlab卡尔曼滤波文件，实现线性和非线性卡尔曼滤波，内容丰富实用-matlab Kalman filter files to achieve linear and nonlinear Kalman filtering, content-rich and practical
liuyanbook
- 1、支持状态开关：留言本总开关，留言开关，搜索开关，头像开关，审核开关，悄悄话开关，加密悄悄话开关 2、IP屏蔽策略，屏蔽特定IP段，或只允许特定IP段 3、内容过滤策略，支持正则表达式，满足过滤条件时替换字符或拒绝留言 3、界面各元素尺寸在参数配置中可调 4、高级删除：根据一定条件批量删除留言 5、支持置顶公告、置顶留言 6、各页面有访问统计 7、可以发悄悄话并加密（如果开启），不加密时回复公开显示 -1, support state switch: the m
kangjan
- 最终的权值矩阵就是滤波器的系数，添加噪声处理，毕设内容，高光谱图像基本处理。- The final weight matrix is ??the filter coefficient, Add noise processing, Complete set content, basic hyperspectral image processing.
penfeng
- 最终的权值矩阵就是滤波器的系数，毕设内容，高光谱图像基本处理，包括四元数的各种计算。- The final weight matrix is ??the filter coefficient, Complete set content, basic hyperspectral image processing, Including quaternion various calculations.
NPDFaceDetector
- NPD人脸检测主要内容： 1.图像特征：Normalized Pixel Difference(NPD)，存在查找表中。 2.特征筛选：deep quadratic tree 3.分类：soft cascade classifier-NPD Face Detection Content: 1. Image features: Normalized Pixel Difference (NPD), the presence of a lookup table. 2. Filter
pigo_mini
- PIGO_mini_1.1新增功能 1、优化了采集核心，现在能采集更多的内容了。并且过滤掉很多无用的信息。 如果baidu改了写法，PHP原创社区会第一时间发布新的采集核心，让您采集无忧。-1 PIGO_mini_1.1 new features to optimize the core collection, are now able to collect more content. And filter out a lot of useless information. If baidu c
goutai
- FIR 底通和带通滤波器和IIR 底通和带通滤波器，毕设内容，高光谱图像基本处理，matlab小波分析程序。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Complete set content, basic hyperspectral image processing, matlab wavelet analysis program.
quyudaima
- 本代码使用引导滤波器去除图像中的雨滴 在对雨雪天气图像进行清晰化处理之前，要对其中的动态成分进行自动辨识和去除。快速有效的自动辨识及去除方法是构建自适应多种低能见度条件视觉增强算法的前提条件-This code USES the guided filter to remove image in the rain Before the clarifications in rain and snow weather image processing, to the dynamic conte
UcTwain
- 实现图像的高级处理,包括放大、缩小、剪切、滤镜等内容-To achieve high-level image processing, including zoom, cut, cut, filter and other content
kalman
- 卡尔曼滤波新手入门教程，内容通俗易懂，说明具体介绍经验公式中的矩阵具体求解。-Kalman filter novice tutorial, content easy to understand, explain the specific matrix introduced in the empirical formula.
mie
- 构成不同频率的调制信号，窗函数法设计一个数字带通FIR滤波器，毕设内容，高光谱图像基本处理。- Constituting the modulated signals of different frequencies, A window function design FIR digital band-pass filter, Complete set content, basic hyperspectral image processing.
kalmanfilter
- 卡尔曼滤波器的c++源代码，内容详细，经过调试，方便用户进行图像处理等。-Kalman filter c++ source, content details, after debugging, user-friendly image processing.
relkwoilitys
- VC++图象处理程序,内容是编程实现对图象的高斯滤镜,效果很好-Program in vc++ image processing procedures, the content is the image of the gaussian filter, the effect is very good
rt038
- 基于人工神经网络的常用数字信号调制，毕设内容，高光谱图像基本处理，窗函数法设计一个数字带通FIR滤波器。- The commonly used digital signal modulation based on artificial neural network, Complete set content, basic hyperspectral image processing, A window function design FIR digital band-pass filter.
cifafenxiqi
- 处理C语言程序，过滤掉无用内容，判断源程序中单词的合法性，并分解出正确的单词，以二元组形式放在文件中。(Deal with C language program, filter out the useless content, judge the validity of the word in the source program, and decompose the correct word, put it into the file in the form of two tuples)
ushrh
- Constituting the modulated signals of different frequencies, Complete set content, basic hyperspectral image processing, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
sunbingking
- Matlab for beginner students will help, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Complete set content, basic hyperspectral image processing.
xe511
- Multi-target tracking particle filter, Complete set content, basic hyperspectral image processing, STM32 all the information produced by the MP3.