Kiss FFT is a small and simple FFT library. It has no complicated platform-specific optimizations, can do either fixed or floating point with just a recompile, and is EFFICIENT enough for all but the most demanding applications.
Programs in the irregular grid design package described in this manual are used to carry out five main functions:
verification and adjustment of coastline and bathymetric data
preparation of an irregular triangular depth grid covering the domain to be modelled
production of a preliminary irregular triangular model grid with nodes suitably positioned for accurate and EFFICIENT numerical modelling
interactive checking and editing, including trimming and joining, of model grid
display and plotting of model output.
The second volume in the Write Great Code series supplies the critical information that today s computer science students don t often get from college and university courses: How to carefully choose their high-level language statements to produce EFFICIENT code. Write Great Code, Volume 2: Thinking Low-Level, Writing High-Level, teaches software engineers how compilers translate high-level language statements and data structures into machine code. Armed with this knowledge, a software engineer can make an informed choice concerning the use of those high-level structures to help the compiler produce far better machine code--all without having to give up the productivity and portability benefits of using a high-level language
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an EFFICIENT stochastic mixture of Kalman filters. The software also includes EFFICIENT state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Develop Portfolio Optimization Models." The scripts generate 3D EFFICIENT frontiers for a universe of 44 stocks with time as the third axis. Additional scripts perform various ex-ante and ex-post analyses. Results are generated with and without market adjustments in the data. A readme.txt. file in the .zip folder describes each script and how to use it
This paper presents a low-power asynchronous implementation of the 80C51 microcontroller. It was realized in a 0.5 µ m CMOS process and it shows a power advantage of a factor 4 compared to a recent synchronous implementation in the same technology. The chip is fully bit compatible with the synchronous implementation, and timing compatible for external memory access. The circuit is a compiled VLSI-program, using Tangram as VLSI-programming language and the Tangram tool set to compile the design automatically to a standard-cell netlist. This design approach proves to be powerful enough to describe the microcontroller and derive an EFFICIENT implementation. Further, it offers the designer the possibility to explore various alternatives in the design space.
The package contains a Reed-Solomon coding and decoding program, derived
partly from Phil Karn/Robert Morelos-Zaragoza "new_rs_erasures.c".
In particular the Berlekamp-Massey algorithm has not been modified. New
features compared to "new_rs_erasures.c" are:
- fully parameterized: code parameters (n,k,m) can be selected via
command line options.
- decoding optional by Euclid or Belekamp-Massey algorithm
- EFFICIENT support of shortened codes
- extensive verbose levels for hardware verification
Abstract—Wireless networks in combination with image
sensors open up a multitude of previously unthinkable sensing
applications. Capable tools and testbeds for these wireless image
sensor networks can greatly accelerate development of complex,
yet EFFICIENT algorithms that meet application requirements. In this
paper, we introduce WiSNAP, a Matlab-based application
development platform intended for wireless image sensor
networks. It allows researchers and developers of such networks
to investigate, design, and evaluate algorithms and applications
using real target hardware. WiSNAP offers standardized and
easy-to-use Application Program Interfaces (APIs) to control
image sensors and wireless motes, which do not require detailed
knowledge of the target hardware. Nonetheless, its open system
architecture enables support of virtually any kind of sensor or
wireless mote. Application examples are presented to illustrate the
usage of WiSNAP as a powerful development tool.
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