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Spherical Coordinates01:23

Spherical Coordinates

Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
Spherical and Cylindrical Capacitor01:26

Spherical and Cylindrical Capacitor

A spherical capacitor consists of two concentric conducting spherical shells of radii R1 (inner shell) and R2 (outer shell). The shells have equal and opposite charges of +Q and โˆ’Q, respectively. For an isolated conducting spherical capacitor, the radius of the outer shell can be considered to be infinite.
Conventionally, considering the symmetry, the electric field between the concentric shells of a spherical capacitor is directed radially outward. The magnitude of the field, calculated by...
Triple Integrals in Spherical Coordinates01:27

Triple Integrals in Spherical Coordinates

Triple integrals in spherical coordinates provide an efficient method for evaluating volumes over regions with central symmetry, such as spheres. Instead of describing points by rectangular coordinates, spherical coordinates use three variables: ๐œŒ, ๐œƒ, and ๐œ‘. Here, ๐œŒ is the distance from the origin, ๐œƒ is the angle in the xy-plane measured from the positive x-axis, and ๐œ‘ is the angle measured downward from the positive z-axis.To derive the volume of a sphere, the solid region can be divided...
Polar and Cylindrical Coordinates01:22

Polar and Cylindrical Coordinates

The Cartesian coordinate system is a very convenient tool to use when describing the displacements and velocities of objects and the forces acting on them. However, it becomes cumbersome when we need to describe the rotation of objects. So, when describing rotation, the polar coordinate system is generally used.
Polar Coordinates: Problem Solving01:27

Polar Coordinates: Problem Solving

Directional radiation patterns are central to antenna analysis, as they illustrate how signal strength varies with direction. These patterns are often modeled using polar plots, where the radial distance from the origin represents signal intensity at a given angle. A commonly used idealized form is the four-lobed rose curve, which captures the concept of directional beams in a simplified mathematical form.The four-lobed rose curve, described by r = cosโก(2ฮธ), features four symmetric lobes, each...
Gauss's Law: Spherical Symmetry01:26

Gauss's Law: Spherical Symmetry

A charge distribution has spherical symmetry if the density of charge depends only on the distance from a point in space and not on the direction. In other words, if the system is rotated, it doesn't look different. For instance, if a sphere of radius R is uniformly charged with charge density ฯ0, then the distribution has spherical symmetry. On the other hand, if a sphere of radius R is charged so that the top half of the sphere has a uniform charge density ฯ1 and the bottom half has a uniform...

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Related Experiment Video

Updated: Jun 24, 2026

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Spherical coding algorithm for wavelet image compression.

Hasan F Ates1, Michael T Orchard

  • 1Department of Electronics Engineering, Isik University, Sile, Istanbul, Turkey. hfates@isikun.edu.tr

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 4, 2009
PubMed
Summary
This summary is machine-generated.

A new "spherical coder" offers a simple yet effective adaptive framework for wavelet coding. It efficiently allocates bitrate based on local energy, achieving competitive performance with state-of-the-art methods.

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Related Experiment Videos

Last Updated: Jun 24, 2026

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Area of Science:

  • Digital image processing
  • Signal processing
  • Data compression

Background:

  • High-performance wavelet coders utilize spatially adaptive techniques.
  • Key challenges include flexibility and coding efficiency in modeling image regions and bitrate allocation within wavelet subbands.

Purpose of the Study:

  • Introduce a novel adaptive framework, the "spherical coder."
  • Address flexibility and coding efficiency in wavelet-based image compression.
  • Provide a simple and effective solution for bitrate allocation.

Main Methods:

  • Utilize local energy as a direct measure for differentiating wavelet subband regions.
  • Dynamically update bitrate allocation decisions based on local energy at finer resolutions.
  • Employ a hierarchical set of variables to specify and code local energy up to individual wavelet coefficient resolution.
  • Ensure a non-redundant scheme conveying subband information via equivalent variables without side parameters.

Main Results:

  • The spherical coder demonstrates competitive Peak Signal-to-Noise Ratio (PSNR) results compared to state-of-the-art methods.
  • The adaptive framework effectively models diverse image regions.
  • Efficient bitrate allocation is achieved through local energy analysis.

Conclusions:

  • The spherical coder presents a simple and effective adaptive framework for wavelet image compression.
  • The method achieves high coding efficiency and flexibility.
  • The approach yields competitive compression performance.