this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements in a speech sample.
標(biāo)簽： spectrum describes how the
上傳時(shí)間： 2017-07-23
上傳用戶：金宜
power spectrum, just input the signal....
標(biāo)簽： spectrum signal power input
上傳時(shí)間： 2017-07-28
上傳用戶：JasonC
The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D
標(biāo)簽： spectrum direction-independent i.e. the
上傳時(shí)間： 2013-12-17
上傳用戶：watch100
This paper presents an overview of mobile WiMAX technology and discusses the key role of spectrum analysis for ensuring reliable systems’ operation and deployment
標(biāo)簽： technology discusses overview presents
上傳時(shí)間： 2013-12-24
上傳用戶：yyq123456789
Huang 98 文章——The empirical mode decomposition and the hilbert spectrum
標(biāo)簽： decomposition empirical spectrum hilbert
上傳時(shí)間： 2013-12-19
上傳用戶：CHENKAI
cognitive radio book .Dynamic spectrum access chapters
標(biāo)簽： cognitive chapters spectrum Dynamic
上傳時(shí)間： 2013-12-17
上傳用戶：kytqcool
VCL component dsplab , STFT and SPECTRUM viewer, real time
標(biāo)簽： component SPECTRUM dsplab viewer
上傳時(shí)間： 2017-09-17
上傳用戶：zhoujunzhen
Features a unique program to estimate the power spectral density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical criteria. Robust estimation algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the raw FFT, the right level of detail is assessed using the data only.
標(biāo)簽： containing Features estimate spectral
上傳時(shí)間： 2014-02-09
上傳用戶：daguda
Rapid growth of wireless communication services in recent decades has created a huge demand of radio spectrum. Spectrum scarcity and utilization inefficiency limit the development of wireless networks. Cognitive radio is a promising tech- nology that allows secondary users to reuse the underutilized licensed spectrum of primary users. The major challenge for spectrum sharing is to achieve high spectrum efficiency while making non-intrusive access to the licensed bands. This requires in- formation of availability and quality of channel resources at secondary transmitters, however, is difficult to be obtained perfectly in practice.
標(biāo)簽： Opportunistic Spectrum Sharing
上傳時(shí)間： 2020-05-31
上傳用戶：shancjb
An understanding of the policies, regulations, standards and techniques of radio spectrum management is useful to those who manage and administrate it, to operators, to equipment providers and to the users of wireless communication (i.e., all of us). For many years the author has been deeply involved in ruling the RF spectrum at the national, regional and global levels. The book is based on the professional experience of the author, his academic courses, presenta- tions and tutorials in five continents. The book reflects this legacy and will be of use to engineers, lawyers and economists, who serve the global industry of the wireless world; in it they may find solutions to the problems they frequently encounter.
標(biāo)簽： Management Spectrum Radio
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
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