This paper examines the asymptotic (large sample) performance
of a family of non-data aided feedforward (NDA FF) nonlinear
least-squares (NLS) type carrier frequency estimators for burst-mode
phase shift keying (PSK) modulations transmitted through AWGN and
flat Ricean-fading channels. The asymptotic performance of these estimators
is established in closed-form expression and compared with the
modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator
(BLUE), which exhibits the lowest asymptotic variance within the family
of NDA FF NLS-type estimators, is also proposed.
The TMS320C64x™ DSPs (including the TMS320DM642 device) are the highest-performance fixed-point
DSP generation in the TMS320C6000™ DSP platform. The TMS320DM642 (DM642) device is based on
the second-generation high-performance, advanced VelociTI™ very-long-instruction-word (VLIW)
architecture (VelociTI.2™ ) developed by Texas Instruments (TI), making these DSPs an excellent choice
for digital media applications. The C64x™ is a code-compatible member of the C6000™ DSP platform.
TI warrants performance of its products to the specifications applicable at the time of sale in
accordance with TI’s standard warranty. Testing and other quality control techniques are utilized
to the extent TI deems necessary to support this warranty. Specific testing of all parameters of
each device is not necessarily performed, except those mandated by government requirements.
Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.
DirectX not only provides fast access to the hardware and therefore incredibly speedy performance, but it also makes it much easier for hardware developers to produce new devices that work well in the Windows environment. The DirectX APIs take away the necessity of writing your own low-level, device-specific code to access hardware such as the display adapter and network card, making it much easier for you to write programs that take full advantage of the computer s multimedia capabilities.
The market for miniature computer programming is exploding. C++ Footprint and performance Optimization supplies programmers the knowledge they need to write code for the increasing number of hand-held devices, wearable computers, and intelligent appliances.
This book gives readers valuable knowledge and programming techniques that are not currently part of traditional programming training.
In the world of C++ programming, all other things being equal, programs that are smaller and faster are better.
C++ Footprint and performance Optimization contains case studies and sample code to give readers concrete examples and proven solutions to problems that don t have cut and paste solutions.
