## What is adaptive filtering approach?

An adaptive filter is a system with a linear filter that has a transfer function controlled by variable parameters and a means to adjust those parameters according to an optimization algorithm. Because of the complexity of the optimization algorithms, almost all adaptive filters are digital filters.

### What is adaptive spatial filtering?

An adaptive spatial filtering for images is presented with application to postprocessing of block coding images. The main purpose is to reduce the degradation in decoded images caused by block coding with no increase in the bit-rate of coding. The filter design is based on some prior knowledge about image edges, D.

**What is meant by adaptive signal processing?**

Adaptive signal processing is a branch of statistical signal processing that deals with the challenging problem of estimation and tracking of time-varying systems.

**What is an adaptive recursive filter?**

Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This approach is in contrast to other algorithms such as the least mean squares (LMS) that aim to reduce the mean square error.

## What is adaptive median filtering?

ADAPTIVE MEDIAN FILTER The adaptive median filter is designed to eliminate the drawbacks faced by the standard median. The main advantage of adaptive median filter is the size of the kernel surrounding the corrupted image is variable due to which better output result is obtained.

### What is meant by anti imaging filter?

In a mixed-signal system (analog and digital), a reconstruction filter, sometimes called an anti-imaging filter, is used to construct a smooth analog signal from a digital input, as in the case of a digital to analog converter (DAC) or other sampled data output device.

**What are the advantages of adaptive filters explain about adaptive median filter?**

The main advantage of adaptive median filter is the size of the kernel surrounding the corrupted image is variable due to which better output result is obtained. The other main advantage of adaptive filter is that unlike median filter it does not replace all the pixel values with the median value.

**How do you use the adaptive median filter?**

The adaptive median filter works in two levels denoted Level A and Level B as follows: Level A: A1= Zmed – Zmin A2= Zmed – Zmax If A1 > 0 AND A2 < 0, Go to level B Else increase the window size If window size <=Smax repeat level A Else output Zxy.

## What is adaptive local noise reduction filter?

Adaptive filter is performed on the degraded image that contains original image and noise. The mean and variance are the two statistical measures that a local adaptive filter depends with a defined mxn window region.

### What is adaptive filtering?

An adaptive filter has the ability to adjust its own parameters automatically, and its design requires little or no prior knowledge of signal or noise characteristics ( Widrow & Hoff, 1960 ). Adaptive filtering is applied to pulse oximetry to minimize the effect of patient motion artifact.

**What is adaptive filtering in pulse oximetry?**

Adaptive filtering is applied to pulse oximetry to minimize the effect of patient motion artifact. In Chapter 1, we briefly discussed how signal and noise can be separated, if they occur in different frequency bands, through frequency-selective filtering ( Fig. 1.24 ).

**What are the two input signals to the adaptive filter?**

There are two input signals to the adaptive filter: and which are sometimes called the primary input and the reference input respectively. The adaption algorithm attempts to filter the reference input into a replica of the desired input by minimizing the residual signal, .

## What happens when the adaptive filter reaches convergence?

When the adaptive filter reaches convergence, the series combination of the unknown and adaptive systems forms an overall frequency response that approximates a pure delay, i.e., the overall system approximates a flat magnitude response and a linear phase characteristic across the usable bandwidth of the excited spectrum.