data are often used interchangeably, they are actually very different. Data is a set of unrelated information, and as such is of no use until it is properly evaluated. Upon EVALuation, once there is some significant relation between data, and they show some relevance, then they are converted into information. Now this same data can be used for different purposes. Thus, till the data convey some information, t
標簽： interchangeably are different unrelated
上傳時間： 2017-09-26
上傳用戶：cxl274287265
HIGH SPeed serdes designs and connectors and simulation models simulations used in signal Integrity and also has practical EVALuation aof all connectors
上傳時間： 2015-04-09
上傳用戶：1234wei
Description The STM3210E-EVAL EVALuation board is a complete development platform for STMicroelectronic's ARM Cortex-M3 core-based STM32F103ZET6 or STM32F103ZGT6 microcontroller. The range of hardware features on the board help you to evaluate all peripherals (LCD, SPI Flash, USART, IrDA, USB, audio, CAN bus, smartcard, MicroSD Card, NOR Flash, NAND Flash, SRAM, temperature sensor, audio DAC and motor control) and develop your own applications.
標簽： stm3210e_eval
上傳時間： 2016-03-27
上傳用戶：guozhenhui1st
EVALuation of friction mechanisms and wear rates on rubber tire materials by low-cost laboratory tests
上傳時間： 2016-05-16
上傳用戶：zz17110439
grid eye EVALuation kit
標簽： grid eye
上傳時間： 2017-05-19
上傳用戶：cliburn
Indian urbanization is a complex puzzle which is extremely difficult to comprehend. Yet, as academicians, it is our responsibility to study, comprehend, analyse, assimi- late, and express on salient happenings in our urban systems. The expressions aim at the larger sections of the society to disseminate technical EVALuation in a compre- hensible note. This edition focuses on awaking the society on the contextual reality of urban India and also enabling policymakers with the situational understanding of Indian cities.
標簽： Inequality Poverty Smart From City
上傳時間： 2020-05-26
上傳用戶：shancjb
When joining Siemens in 2001, I also extended my research interest towards radio net- work planning methodologies. This area of research brought together my personal interest in mobile communications and in the design of efficient algorithms and data structures. Between 2001 and 2003, I participated in the EU project Momentum, which was target- ing the performance EVALuation and optimization of UMTS radio networks. I
標簽： Efficient Methods WCDMA for
上傳時間： 2020-05-27
上傳用戶：shancjb
In general there are three different techniques for performance EVALuation of systems and networks: mathematical analysis, measurements, and computer simulation. All these techniques have their strength and weaknesses. In the literature there are plenty of discussions about when to use which technique, how to apply it, and which pitfalls are related to which EVALuation technique.
標簽： Simulation Modeling Network Tools and for
上傳時間： 2020-05-31
上傳用戶：shancjb
Performance analysis belongs to the domain of applied mathematics. The major domain of application in this book concerns telecommunications sys- tems and networks. We will mainly use stochastic analysis and probability theory to address problems in the performance EVALuation of telecommuni- cations systems and networks. The first chapter will provide a motivation and a statement of several problems.
標簽： Communications Performance Analysis Networks of
上傳時間： 2020-05-31
上傳用戶：shancjb
This paper presents a Hidden Markov Model (HMM)-based speech enhancement method, aiming at reducing non-stationary noise from speech signals. The system is based on the assumption that the speech and the noise are additive and uncorrelated. Cepstral features are used to extract statistical information from both the speech and the noise. A-priori statistical information is collected from long training sequences into ergodic hidden Markov models. Given the ergodic models for the speech and the noise, a compensated speech-noise model is created by means of parallel model combination, using a log-normal approximation. During the compensation, the mean of every mixture in the speech and noise model is stored. The stored means are then used in the enhancement process to create the most likely speech and noise power spectral distributions using the forward algorithm combined with mixture probability. The distributions are used to generate a Wiener filter for every observation. The paper includes a performance EVALuation of the speech enhancer for stationary as well as non-stationary noise environment.
標簽： Telecommunications Processing Signal for
上傳時間： 2020-06-01
上傳用戶：shancjb
