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txlb
- 数字图像处理中的滤波和傅里叶压缩，包括理想低通滤波器，巴特沃茨高通滤波器，高斯带通滤波器，高斯带阻滤波器，FFT图像压缩。附原图像和处理后的图像截图。-Digital image processing in filtering and Fourier compression, including the design of an ideal low-pass filter, design Batewoci high-pass filter, bandpass filter design Gaus
EdgeDetection
- 边缘检测1.制作一张包括色块、线条的单色背景图片，先对其作低通滤波产生一幅色块和线条边缘模糊的降质图片待处理，采用任意二种边缘检测算法检测待处理图片中的色块和线条的边缘，得到二值化的处理结果图。从结果图中提取色块和线条的边界坐标值，与实际生成原始图像时采用的真实坐标数据作比较，对产生的检测误差作分析。2.拍摄一张包含待检测物体的黑白或者彩色照片，试采用一种边缘检测的算法做待检测物体的自动提取，对生成的结果作分析。-Edge Detection 1. To produce a including
Filter
- 包含高斯低通滤波和拉普拉斯高通滤波，及综合滤波的效果。含GUI操作界面-Contains the Gaussian low-pass filtering and Laplacian high-pass filtering, and integrated filtering effect. With GUI interface
lowpass
- 基于matlab的，不同截断半径时低通滤波滤波,及傅立叶反变换再现图像，简单易学，希望对你有帮助。-Matlab based on different cut-off low-pass filter at a radius of filtering, and Fourier Transform reproduce images, easy to learn, and they hope to help you.
data122
- 对MIT—BIH数据库中的第122号数据作的处理，包括低通、高通滤波、中值滤波、均值滤波等。-On the MIT-BIH database No. 122 data processing, including low-pass, high pass filtering, median filtering, average filtering.
matlab
- 实验指导 低通采样定理实验 FFT频谱分析实验 IIR滤波器设计实验 窗函数法FIR滤波器设计 频率采样法FIR滤波器设计实验-Experimental guide low-pass sampling theorem FFT spectrum analysis experiment experiment experiment IIR Filter Design Window Function FIR filter design frequency sampling FIR filter desi
dsp
- 输入自己事先录制好的语音信号，该程序实现将语音信号通过FIR低通、高通、带通滤波器后还原出来的语音质量-Enter their own pre-recorded speech signal, the program will realize voice signal through the FIR low-pass, high pass, band-pass filter to restore them after the voice quality
Chebyshev1IIRdigitalfilter
- 这是本人夏季学期的课程设计：模拟信号数字化滤波处理的计算仿真-Chebyshev I型低通滤波，对模拟信号进行数字化滤波处理。根据数字滤波器的性能指标，计算出Chebyshev1型低通IIR数字滤波器的系统函数，画出数字滤波器的频率响应曲线，给出Chebyshev1型低通IIR数字滤波器的设计结果。-This is my summer semester of the curriculum design: analog signal processing digital simulation f
chap06
- ex5_1 I-型线性相位FIR滤波器 ex5_2 II-型线性相位FIR滤波器 ex5_3 III-型线性相位FIR滤波器 ex5_4 IV-型线性相位FIR滤波器 ex5_5 矩形窗频响 ex5_6 希尔伯特变换器设计－汉宁窗 ex5_7 低通滤波器设计－汉明窗 ex5_8 带通滤波器设计－布莱克曼窗 ex5_9 低通滤波器设计－凯塞窗 ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 ex5_13
zjdwork
- 语音信号滤波程序（低通、带通、多带通、fft卷积滤波 自己动手做的-Voice signal filtering process (low-pass, band-pass, multi-band-pass, fft convolution filtering
imageGUI
- 运用MATLAB工具箱实现图像处理的GUI程序设计 1）图像的读取和保存。 2）设计图形用户界面，让用户能够对图像进行任意的亮度和对比度变化调整，显示和对比变换前后的图像。 3）设计图形用户界面，让用户能够用鼠标选取图像感兴趣区域，显示和保存该选择区域。 4）编写程序通过最近邻插值和双线性插值等算法将用户所选取的图像区域进行放大和缩小整数倍的操作，并保存，比较几种插值的效果。 5）图像直方图统计和直方图均衡，要求显示直方图统计，比较直方图均衡后的效果。 6）能对图像加入
pinyuchuli
- 给定一幅图像，进行频域处理，包括低通滤波，图像锐化，伪彩色处理等。-Given an image, the frequency domain, including low-pass filtering, image enhancement, pseudo-color processing.
gaosi
- 图像增强处理方法，这M文件是对加入高期噪声后应用了中值滤波，均值滤波，低通滤波等方会分别来处理的程序。-Image enhancement method, this document is to join M phase noise after the application of the high value of the filter, mean filter, low pass filtering and so on will be to deal with the procedures,
ladder_pass
- matlab编写的梯形低通滤波器对与图像的影响，画图比较滤波前后的对比图。-the preparation of matlab trapezoidal low-pass filter and image of the effect of drawing the contrast to compare before and after filtering Fig.
cic
- 当前工程上广泛采用了一种高效滤波器，即CIC（cascaded integrator-comb filter）将其作为第一级来实现抽取、低通滤波。第二级再用一个普通的FIR滤波器就实现使后端设备工作在较低的频率下且硬件花销少、功耗也很低。-Widely used in the current project, a highly efficient filter, that is, CIC (cascaded integrator-comb filter) as the first level t
frequency
- 用傅里叶变换对图形进行变换，然后用高斯低通、高通滤波器对图像进行去噪-Fourier transform graphics transform, and then use Gaussian low-pass, high pass filter for image denoising
signal
- 产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，分别设计三种高通，低通，带通滤波器对信号进行滤波处理，观察滤波后信号的频谱-NI FHHFJSDG
butterwoth
- 这个是对一个一维信号的Excel数据加载进matlab程序，然后进行巴特沃斯的低通滤波。-This is a one-dimensional signal of Excel data is loaded into the matlab program, and then Butterworth low-pass filtering.
ex5
- FIR 及 IIR低通滤波器的设计以及 正弦信号滤波前后的频谱分析 （不同窗函数截断）-FIR and IIR filter design and low-pass filter before and after sinusoidal signal spectrum analysis (different window function truncated)
Interpolation
- 利用低通滤波器对图像进行插值放大：按放大的倍数对原图像进行插零，插零后的图片与低通滤波函数进行卷积，原先插入的零的位置自动替换为适当的插值，如此图像就已经插值放大了，图像质量还不错。-Double the number of pixels of each row and column by adding a zero value pixel between each pixel of the image.Then operate with two kinds of low-pass filter