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sfr2
- sfrmat is a Matlab function that provides a spatial frequency response* (SFR) from a digital image file containing a slanted-edge feature. The specific edge-gradient algorithm follows the intent of the standard ISO 12233, developed by Technical Commi
fft
- 对图像进行快速傅里叶变换，在频率域去除高频信息再逆变换到空间域，完成图像栅格信息的消除。-Fast Fourier transform of the image, in the frequency domain to remove high-frequency information and the inverse transform to the spatial domain, to complete the elimination of the image grid of informati
laplacian-filter
- matlab implementation of laplacian filter in spatial and frequency domain
TransientMovie_HarmonicField
- 该matlab代码是一个函数。它接受频域电磁场二维空间分布（用矩阵表示），包括幅度和相位，返回avi文件，显示二维电磁场的动画。-The code is a matlab function. It accepts frequency domain two-dimensional spatial distribution of electromagnetic field (with matrix), including the amplitude and phase, back avi files
dct
- JPEG压缩算法的核心是“视觉保真”原理，利用人类视觉系统特征进行处理，以达到最大图像数据压缩效果，实际上就是去除那些人眼不易觉察的信息。图像的空间频率对人的视觉至关重要，采用离散余弦变换可将图像分解成一组波，每个波有一个不同的空间频率，这样可以去除人类眼睛觉察不到的信息，而且还可使系统只保留重要的信息。-JPEG compression algorithm is the core of " visual fidelity" principle, the use of the
matlab
- The main goal of this work is to provide a unified theory of QSTBCs for four transmit antennas and one (or more) receive antennas. The thesis consists of two main parts: In the first part we analyze the QSTBCs transmission without any channel kno
TFBSSpack
- TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。-TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated
backproj
- BACKPROJ uses the filtered or unfiltered backprojection algorithm to perform the inverse Radon transform. The filter is designed directly in the frequency domain and then multiplied by the FFT of the projections. The projections are zero-padded to a
esprit_basic1
- 采用第一种ESPRIT算法进行空间阵列信号的频率估计-ESPRIT algorithm using the first spatial array signal frequency estimation
esprit_basic2
- 采用第二种ESPRIT算法，进行空间阵列信号频率估计-ESPRIT algorithm using the second, the spatial array signal frequency estimation
Freq_Domain
- Transforming images from the spatial domain to frequency domain using FFT and DCT, also it includes transforming to the Cepstrum domain.
tuxiangchuli
- ⑴编程实现直方图均衡化 ⑵设计完成同态滤波器，并用之改善图象质量。 ⑶对某图像加入不同类型﹑不同强度的噪声（周期﹑椒盐噪声），并分别用空间域和频率域的方法抑制噪声。 -⑴ ⑵ programming histogram equalization filter design is completed with the state and used to improve the image quality. ⑶ image of a different intensity with di
sanweichongjian
- 一种基于快速空间频域算法和位相解包裹的三维重建算法。-Spatial frequency domain based on fast phase unwrapping algorithms and three-dimensional reconstruction algorithm.
system_s-function(mimo)
- 这是用SIMULINK的S-FUNCTION方式编写的系统仿真代码，系统是基于4G网络的核心技术空时分组编码的MIMO-OFDM通信系统的，涉及到空间分集、时间分集和频率分集的有机结合，包括QPSK调制解调、IFFT调制、控制编解码、基于训练符号的信道估计等通信模块。包括main_STBC_MIMO_OFDM和training_symbol两个M文件和一个DOC文件，对各部分的都有详细的代码和注释。-It is used SIMULINK the S-FUNCTION approach to t
Desktop
- This a matlab code used to obtain spatial frequency of an image and can be extremely used in image fusion aplication-This is a matlab code used to obtain spatial frequency of an image and can be extremely used in image fusion aplication
spatial_fft
- 给定一组样品高度数据，用此程序确定其主要空间频率-Given a set of sample height data, using this procedure to determine the main spatial frequency
Unitary--ESPRIT
- 新的2维角度估计的高分辨方法。该方法首先建立基于范数约束的最优化问题的目标函数；然后用迭代算法沿均匀面阵接收数据的方位向求最小化目标函数的稀疏解，得到方位、俯仰角耦合的空间角频率，并分离信号；最后对每个分离的信号，沿面阵俯仰向求稀疏解，得到信号的俯仰角，进而求得对应的方位角。-The new high-resolution 2-D angle estimation method. Firstly, the establishment of an objective function optimi
spatial domain filter
- All images and pictures contain spatial frequencies. Most of us are familiar with some type of frequency such as the 60-cycle, 110-volt electricity in our homes. The voltage varies in time as a sinusoid, and the sinusoid completes a full cycle 60 tim
matlab
- 小波变换在图像融合中的应用求出图片的均值，信噪比，空间频率，峰值信噪比等-The application of wavelet transform in image fusion, including to the application of wavelet transform in image fusion for the image of the mean, the signal-to-noise ratio, spatial frequency, the average peak sig
Frequency Filtering
- The reason for doing the filtering in the frequency domain is generally because it is computationally faster to perform two 2D Fourier transforms and a filter multiply than to perform a convolution in the image (spatial) domain. This is particularly