In this paper, an advanced histogram-equalization algorithm for contrast enhancement is presented. Histogram equalization is the most popular algorithm for contrast enhancement due to its effectiveness and simplicity. It can be classified into two branches according to the transformation function used: global or local. Global histogram equalization is simple and fast, but its contrast-enhanceme...

This paper proposes a new method for carrying out joint blind equalization and blind estimation of the bit error rate (BER) in the output of baud-rate FIR equalizers. A simple test for assessing decision errors in the output of the decision device is derived. A comparative study of several BER estimator methods is presented in terms of convergence rate and tracking capability of both static and...

This Contrast enhancement is frequently referred to as one of the most important issues in image processing. Histogram equalization (HE) is one of the common methods used for improving contrast in digital images. Histogram equalization (HE) has proved to be a simple and effective image contrast enhancement technique. However, the conventional histogram equalization methods usually result in exc...

5. Mixed Signal Clock Recovery 12 5.1 Hybrid (Digitally Assisted) Clock Recovery 12 5.2 Capability Comparisons 12 5.2.1 Jitter Tolerance 12 5.2.2 Flexibility and Versatility 13 5.2.3 Transition Density and Maximum Run Length (MRL) 14 5.2.4 Lock Time 14 6. End-to-End Equalization 15 6.1 Motivation 15 6.2 Equalization in a Nutshell 17 6.3 Types of Signal Conditioning 18 6.3.1 Transmit Pre-Emphasi...

Certain equivalences between the Godard and Shalvi—Weinstein schemes have been previously noted under special circumstances. We present here a simple proof for real signals that an equivalence can be established assuming little more than stationarity to fourth order of the equalizer input; the exact nature of the input sequence proves otherwise irrelevant to the validity of the equivalence. The...

A variety of blind equalization algorithms exist. These algorithms, which draw on some theoretical justification for the demonstration or analysis of their purportedly ideal convergence properties, almost invariably rely on the input data being independent and identically distributed (i.i.d.). In contrast, in this paper we show that input correlation can have a marked effect on the character of...

Base class for Contrast Limited Adaptive Histogram Equalization. Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram. Hello all. I would like to implement an extension of the well-known CLAHE histogram equalization method in Matlab. Currently, Matlab provides routines. Adaptive Histogram Equalization. Contrast Limited Adaptive Histogram Equalization. Histogram...

By reexamining some initialization strategies for blind equalizers, we develop an approximation to a common contrast function for equalization which enjoys a “unimodal” property: the solution obtained from the modified criterion is unique to within standard scale factor ambiguity, and moreover yields a perfect equalizer whenever such is attainable. In the more realistic situation in which perfe...

In wireless communication systems, equalization process is needed to suppress the inter-symbol interference (ISI) caused by multipath channels. Conventional equalization techniques use training signals. Blind Methods are of great importance in the digital signal communication systems as they allow channel equalization at the receiver without the use fof training signals. A blind equalization in...

This paper proposes a new spatio-temporal equalization method, which simultaneously utilizes an adaptive antenna array and a decision feedback equalizer (DFE). For effective spatio-temporal equalization with less computational cost, how to split equalization functionality into spatial processing and temporal processing is quite important. One of the answers which we have given is ‘incoming sign...