With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth-limited speech processing. Today, the main appli- cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including percep- tual measurement techniques and analysis/synthesis methods. smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application oriented research.
This player allows you to show the videos (FLV) in your websites with more controls and a broader audience as with QuickTime, Windows Media or Real Media. The FLV is now recognized as a fabulous format, using swf players to connect to the flv files by progressive download of streaming. This player is smaller and easier to adjust than the components in Flash.
A heap is a binary tree satisfying the following
conditions:
This tree is completely balanced.
If the height of this binary tree is h, then leaves
can be at level h or level h-1.
All leaves at level h are as far to the left as
possible.
The data associated with all descendants of a
node are smaller than the datum associated
with this node.
Stereo-Vision circuit description, Aug 2002,
Ahmad Darabiha
This design contains four top level circuits: sv_chip0.vhd, sv_chip1.vhd, sv_chip2.vhd and
sv_chip3.vhd each of them built by one Virtex2000E fpga chip. This design is hierarchical and the
sub-circuits can be used as smaller benchmarks.
Heapsort
1.A heap is a binary tree satisfying the followingconditions:
-This tree is completely balanced.
-If the height of this binary tree is h, then leaves can be at level h or level h-1.
-All leaves at level h are as far to the left as possible.
-The data associated with all descendants of a node are smaller than the datum associated with this node.
Implementation
1.using a linear array not a binary tree.
-The sons of A(h) are A(2h) and A(2h+1).
2.time complexity: O(n log n)
This m file hide an image jpeg,png in another jpeg,png image.
The height and width of the secret image is in LSB of 1st 32 pixels of 1st row of the cover image.This helps in the recovery of secret image.
The secret image must be smaller than cover image.A message box will appear with a number ,that number is the maximum product of width and height of secret image that can be successfully embedded in the cover image.
The final png image will appear in workspace with random name.This image contains the secret image.One such png image is in the zip file with name 4447.png it contains an image of res 100x122.
Faster, better, and cheaper is the name of the game for machine designers. Demands for higherperformance
and increasingly efficient machines designed in a shorter amount of time with smaller design
teams are challenging machine designers to improve their machine design processes.
Microprocessors are getting smaller, cheaper and faster. Every day, it is easier to embed more functionality into a smaller space. Embedded processors have become pervasive, and as time goes on, more and more functions that were once implemented with analog circuitry or with electromechanical assemblies are being realized with microcontrollers, ADCs and DACs. Many of these assemblies that are being supplanted by the microprocessor are controlling dynamic processes, which is a good thing, because the microprocessor coupled with the right software is often the superior device.
A major societal challenge for the decades to come will be the delivery of effective
medical services while at the same time curbing the growing cost of healthcare.
It is expected that new concepts-particularly electronically assisted healthcare will
provide an answer. This will include new devices, new medical services as well
as networking. On the device side, impressive innovation has been made possible
by micro- and nanoelectronics or CMOS Integrated Circuits. Even higher accuracy
and smaller form factor combined with reduced cost and increased convenience
of use are enabled by incorporation of CMOS IC design in the realization of biomedical
systems. The compact hearing aid devices and current pacemakers are
good examples of how CMOS ICs bring about these new functionalities and services
in the medical field. Apart from these existing applications, many researchers
are trying to develop new bio-medical solutions such as Artificial Retina, Deep
Brain Stimulation, and Wearable Healthcare Systems. These are possible by combining
the recent advances of bio-medical technology with low power CMOS IC
technology.
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending
on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets
indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
