In the rectangle packing problem, encoding schemes
to represent the placements of rectangles are the key
factors determining the efficiency of algorithms. SEQP
AIR is one of the most sophisticated encoding sheme,
which has been considered to have a small solution
space
The Hilbert Transform is an important component in communication systems, e.g. for single sideband modulation/demodulation, amplitude and phase detection, etc. It can be formulated as filtering operation which makes it possible to approximate the Hilbert Transform with a digital filter. Due to the non-causal and infinite impulse response of that filter, it is not that easy to get a good approximation with low hardware resource usage. Therefore, different filters with different complexities have been implemented.
The detailed discussion can be found in "Digital Hilbert Transformers or FPGA-based Phase-Locked Loops" (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4629940).
The design is fully pipelined for maximum throughput.
The emphasis of this book is on real-time application of Synopsys tools, used
to combat various problems seen at VDSM geometries. Readers will be
exposed to an effective design methodology for handling complex, submicron
ASIC designs. Significance is placed on HDL coding styles,
synthesis and optimization, dynamic simulation, formal verification, DFT
scan insertion, links to layout, physical synthesis, and static timing analysis.
At each step, problems related to each phase of the design flow are identified,
with solutions and work-around described in detail. In addition, crucial issues
related to layout, which includes clock tree synthesis and back-end
integration (links to layout) are also discussed at length. Furthermore, the
book contains in-depth discussions on the basics of Synopsys technology
libraries and HDL coding styles, targeted towards optimal synthesis solution.
G
UILLAIN-BARRéSYNDROME(GBS)is an uncommon disorder,but one
whose impact is far out of proportion to its incidence.Despite a
usually good prognosis,GBS is a particularly frightening and often life-
altering experience for those diagnosed with the disorder.Many patients
are acutely aware of the rapid loss of control of their muscular function,
including vital functions such as breathing and swallowing,and fre-
quently feel that they are dying.The experience is almost as unnerving
for the families of affected individuals.During the acute phase of the ill-
ness GBS patients experience the indignity of helplessness in addition to
their fear of death or permanent disability.Prolonged disability is com-
mon and some permanent residual effects are becoming increasingly
recognized.It has been our experience in meeting patients at support
groups,that individuals who have been affected by GBS have a great
desire for a better understanding of the disorder,even years after the
acute experience.
This application note considers the design of frequency-
selective filters, which modify the frequency content
and phase of input signals according to some specification.
Two classes of frequency-selective digital filters
are considered: infinite impulse response (IIR) and finite
impulse response (FIR) filters. The design process
consists of determining the coefficients of the IIR or FIR
filters, which results in the desired magnitude and
phase response being closely approximated.
This application note considers the design of frequency-
selective filters, which modify the frequency content
and phase of input signals according to some specification.
Two classes of frequency-selective digital filters
are considered: infinite impulse response (IIR) and finite
impulse response (FIR) filters. The design process
consists of determining the coefficients of the IIR or FIR
filters, which results in the desired magnitude and
phase response being closely approximated.
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This sample program generates two sine waves called X and Y.
It will then calculate the normalized magnitude and phase of
the two waveforms using the following formulas:
Mag = sqrt(X^2 + Y^2)/sqrt(GainX^2 + GainY^2)
Phase = (long) (atan2PU(X,Y) * 360)
The program will prompt the user to change the gain and
frequency of the X and Y waveforms.
Abstract—We describe a technique for image encoding in which local operators of many scales but identical shape serve as the basis functions. The representation differs from established techniques in that the code elements are localized in spatial frequency as well as in space.
