资源列表
Tiefpass-Hochpass
- 低通滤波器-高通滤波器的转化举例 针对Tschebyscheff_1
风车
- 一个用c语言实现的绘图风车， 直接在turbo c下即可以实现。-a language with graphics windmills, directly under the turbo c that can be achieved.
SIFT
- 本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准。 -The program will combine the SIFT and the edge of image registration is used to make the first detection of the key points with SIFT operator with CANNY edge detection and th
tool_image_6
- 基于fft和二进小波编写的二维小波多孔算法图像分解，效果不错-Fft and based on dyadic wavelet algorithm for the preparation of porous two-dimensional wavelet image decomposition, good results
xiaoboyuyinquzao
- 基于MATLAB的程序，用小波变换对语音信号进行去噪-MATLAB-based program, with wavelet transform to speech signal denoising
waveletDB4PRO
- 在理解了离散小波变换的基本原理和算法的基础上，通过设计VC程序对简单的一维信号进行小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的-Understand the discrete wavelet transform in the fundamental principles and algorithms, based on the VC program by designing a simple one-dimensional signal wavelet coef
AK4183
- example, iic touch ak4183 driver
P_M_AOS
- p_m模型，各向异性扩散函数的matlab程序，用于对图像进行去噪及边界提取-p_m model, anisotropic diffusion function matlab program for image denoising and edge detection
function-graph
- 这是一个简单的高次逼近函数的函数图像，它可以作为去噪的阈值函数，在阈值处是连续的。函数中的n值可以自己任意设置。还有几个阈值函数和阈值，在小波变换的每一层上选择不同的阈值-This is a simple high-order function of the approximation functions of the image, it can be used as a threshold function of de-noising,The function is continuous a
sobel.m
- 雷达遥感数据读取；SOBEL边缘监测；梯度计算-RADAR remote sensing data reading sobel edge detection gradient calculation
VHDL-description-
- 2选1多路选择器的VHDL描述四种方法.txt 对于实现同一功能的电路，有不同的描述方法；另一方面，对于既定的电路功能，对应的电路结构不是唯一的，可以对应不同的电路结构，取决于综合器的基本元件库的来源、优化方向和约束的选择。- 2choose 1 multichannel selector VHDL descr iption of four kinds of methods. TXT To realize the same function circuit, there is the
wavelet2
- get wavelet coefficient of a gray image till infinite level (by changing the i in source code). default is 4.-get wavelet coefficient of a gray image till infinite level (by changing the i in source code). default is 4.