the book provides many solved examples that illustrate the principles involved,
and includes, in addition, two chapters that deal exclusively with applications of
unconstrained and constrained optimization methods to problems in the areas of
pattern recognition, control systems, robotics, communication systems, and the
design of digital filters. For each application, enough background information
is provided to promote the understanding of the optimization algorithms used
to obtain the desired solutions.
This document explains how to read the RADARSAT data CD provided with the book
"Digital Processing of Synthetic Aperture Data" by Ian Cumming and Frank Wong,
Artech House, 2005.
On this web site, programs are provided in MATLAB to read the data and parameters
from the CD. The structure of the programs is outlined in Figure 1.
There are two main programs and one function that are used to extract
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.
Some time during my development works I had the need of printing the contents of a ListView control. So I wrote down the code for a custom control, named PrintableListView, that solved the following two problems:
* extend the print on multiple pages when the width of the list exceeds the width of the print page,
* shrink, optionally, the list in a way that the resulting width fits o
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.
3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You can reconstruct 3D shape with only two different depth images.
3D shape reconstruction matlab code. It used shape from defocus technique with divergence. You can reconstruct 3D shape with only two different depth images.
3D shape reconstruction matlab code. It used shape from defocus technique with diffusion. You can reconstruct 3D shape with only two different depth images.
