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MATLAB6
- Matlab环境下的几个数字图像处理实验，包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等-Matlab environment, several digital image processing experiments, including the image gray level transformation, histogram equalization, histogram matching, neighborhood average, local
3118a855
- This paper presents a novel technique to increase the quality of medical images based on Histogram Equalization. In the proposed method first we have applied a noise reduction method and then we apply some suitable preprocessing on histogram
FSE
- 修正恒模算法分数间隔盲均衡:分数间隔均衡 ( F S E ) 能够降低对时间同步误差的敏感性。-Blind Equalization FSE CMA
channel-equalization
- 该文件包含各种信道下的信道估计的文章，具有很好的参考价值，适合研究此课题的人员使用-This file contains a variety of channels channel estimation article, has a good reference for use by the subject of this
Paper-21-Survey-of-Contrast-Enhancement-Technique
- Survey of Contrast Enhancement Techniques based on Histogram Equalization
04429280
- Histogram equalization is widely used for contrast enhancement in a variety of applications due to its simple function and effectiveness. Examples include medical image processing and radar signal process- ing. One drawback of the histogr
tuxiangjunhenghua
- 将图像均衡化，不适用所给函数，用自编算法实现-Image equalization, not applicable to the function, using self algorithm
equalizer_thesis
- THESIS BLIND EQUALIZATION ALGORITHM BY USING PARALLEL KALMAN FILTERING. COMBINING KALMAN FILTERING ALGORITHMS WITH HMM. INLUDE MATLAB SOURCE CODES.
juhenghua
- 上传文件为数字图像处理中的直方图均衡化处理MATALB程序-Upload files for digital image processing histogram equalization processing MATALB program
High-frequency-emphasis
- MATLAB图像处理-基于高频强调滤波和直方均衡化图像增强-MATLAB image processing- based on high frequency emphasis filtering and histogram equalization image enhancement
Histogram-equalization
- Histogram equalization Histogram equalization Histogram equalization-Histogram equalizationHistogram equalizationHistogram equalizationHistogram equalizationHistogram equalization
chap2_OFDM_basics
- frequency division multiplexing (OFDM) is used extensively in broadband wired and wireless communication systems because it is an effective solution to intersymbol interference (ISI) caused by a dispersive channel. This becomes increasingly important