This Application note describes a method for developing block-oriented I/O device drivers for Applications that use the DSP/BIOS real-time kernel and includes examples that run with Code Composer Studio v2.1 on the Texas Instruments TMS320C5402 and TMS320C6711 DSP Starter Kits (DSKs). The device driver model presented here has now been superceded with an updated version that supports not only block oriented devices, but also devices such as UARTs, PCI and USB buses and Multimedia cards. Documentation on the updated driver model as well as example drivers and source code can be found in the Device Driver Developer s Kit product now available for download from the TI Developer s Village.
标签： block-oriented Application developing describes
上传时间： 2015-07-07
上传用户：kelimu
* CONSTRAINTS * This module does not handle data which is considered out of range by the * Application(i.e. fixed constants which represent error condition) * * Maximum weight value must be limited to 128 to prevent an overflow * condition during the calculation. * * The internal data type must be large enough to handle the calculations. * The maximum possible internal value * = Max Input Value * (weight - 1) + Max Input Value * If a maximum weight of 128 is used, the internal data type should be 2 * times the size of the input data type.
标签： CONSTRAINTS considered module handle
上传时间： 2015-09-07
上传用户：qunquan
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.
标签： multimedia processing the digital
上传时间： 2014-01-23
上传用户：xwd2010
An important book that cover wavelet domain. It help a lot in understanding wavelets and their Applications. Beside explanations of the transform and Application of this, there are also presents the reasons why wavelets are better than Fourier transform.
标签： understanding important wavelets wavelet
上传时间： 2017-06-14
上传用户：lanhuaying
Open source computer vision library in C/C++. Optimized and intended for real-time Applications. OS/hardware/window-manager independent.
标签： Optimized real-time computer intended
上传时间： 2013-12-28
上传用户：wangchong
Short description: A MAX-MIN Ant System (MMAS) implemented in the Hyper-Cube Framework for the Application to Unconstrained Binary Quadratic Programming (UBQP). Aim of the software: Educational (not high-performance) it shows how to implement a MMAS in the Hyper-Cube Framework.
标签： description implemented Hyper-Cube Framework
上传时间： 2014-11-26
上传用户：蠢蠢66
Wireless communication has become increasingly important not only for professional Appli- cations but also for many fields in our daily routine and in consumer electronics. In 1990, a mobile telephone was still quite expensive, whereas today most teenagers have one, and they use it not only for calls but also for data transmission. More and more computers use wireless local area networks (WLANs), and audio and television broadcasting has become digital.
标签： Applications and Theory OFDM CDMA of
上传时间： 2020-06-01
上传用户：shancjb
The past decade has seen an explosion of machine learning research and Appli- cations; especially, deep learning methods have enabled key advances in many Applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, the performance of many machine learning methods is very sensitive to a plethora of design decisions, which constitutes a considerable barrier for new users. This is particularly true in the booming field of deep learning, where human engineers need to select the right neural architectures, training procedures, regularization methods, and hyperparameters of all of these components in order to make their networks do what they are supposed to do with sufficient performance. This process has to be repeated for every Application. Even experts are often left with tedious episodes of trial and error until they identify a good set of choices for a particular dataset.
标签： Auto-Machine-Learning-Methods-Sys tems-Challenges
上传时间： 2020-06-10
上传用户：shancjb
