advanced guis and graphics
Part IV: Advanced Tips and Tricks
... add a new menu command to a set, highlight the command you want on the Menu tab and click the Add button Adding a menu command to a set gives you one-click access to a command you’d normally ... 298 Part IV: Advanced Tips and Tricks The materials provided in the Default folder include the following: ߜ 2DLT Sample and 3DLT Sample: These folders contain two dimensional images and three dimensional ... 304 Part IV: Advanced Tips and Tricks If you find you made a mistake when recording your action, you can go back and delete it from the program Just highlight the offending step and click the...
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Advanced Security and Beyond
... of attacks • New techniques and security devices are helping to defend networks and systems • The most recent developments and announcements are listed on pages 458 and 459 of the text Exploring ... attacks, and speed at which they spread continues to grow • Recent attacks include characteristics listed on pages 457 and 458 of the text • Defenders are responding to the increase in the level and ... systems, networks, and applications Computer Forensic Skills • Computer forensic specialists require an additional level of training and skills: – Basic forensic examinations – Advanced forensic...
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Laying Out GUIs and Setting Properties
... These commands include xlabel, ylabel, zlabel, title, gca, gcf, and findobj HandleVisibility — On Handles are always visible when HandleVisibility is on IntegerHandle Setting the IntegerHandle property ... its boundaries Copying, Cutting, and Clearing Components Use standard menu and pop-up menu commands, toolbar icons, keyboard keys, and shortcut keys to copy, cut, and clear components Copying Copying ... command to the opening function: uiwait(handles.figure1); 3-7 Laying Out GUIs and Setting Properties To restore access to other MATLAB windows once a button is clicked, add the following command...
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Tài liệu Advanced Calculus and Analysis MA1002 ppt
... functions such as sin, cos and tan; their reciprocals sec, cosec and cot; and exp and log 5.4 Proposition Let f and g be differentiable at a, and let k be a constant Then k.f , f + g and f g are differentiable ... f and g are functions and k is a constant, then k.f , f + g, f g and (often) f /g are also functions 4.16 Proposition Let f and g be continuous at a, and let k be a constant Then k.f , f + g and ... left and right hand limits agree (and disagree with f (2), so f is not continuous at 2) Note our convention: if f (x) → and always f (x) ≥ as x → 2−, we say that f (x) tends to from above, and...
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Tài liệu Check Point™ NG VPN-1/FireWall-1 Advanced Configuration and Troubleshooting pptx
... Partis, Bec Lowe, and Mark Langley of Woodslane for distributing our books throughout Australia, New Zealand, Papua New Guinea, Fiji Tonga, Solomon Islands, and the Cook Islands Winston Lim of ... technology, and through its nationwide processing centers, has earned a reputation for excellent customer service INFO1 uses advanced electronic data exchange in XML, X12 and other standard and proprietary ... integrator specializing in IT and e-commerce security solutions She is both a Check Point and Nokia Certified Security Instructor and has been installing, configuring, and supporting Check Point products...
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Tài liệu Advanced Network and System Administration ppt
... request Server sends result code and closes socket 16 LDAP Operations Client Session Operations Query and Retrieval Operations Bind, unbind, and abandon Search and compare Modification Operations ... Schemas specify allowed objectClasses and attributes 12 LDIF LDAP Interchange Format LDIF Files Standard text format for storing LDAP configuration data and directory contents Collection ... Operations Add, modify, modifyRDN, and delete 17 Authentication Anonymous Authentication Binds with empty DN and password Simple Authentication Binds with DN and password Cleartext Simple Authentication...
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Tài liệu Advanced DSP and Noise reduction P1 pdf
... Hz to 80 Hz; band is band-pass and covers 80 Hz to kHz; band is high-pass and covers above kHz; and band is also high-pass and covers above kHz At the encoder the gain of each band is adaptively ... number of bands and the pre-emphasis strategy that that they employ Dolby A, developed for professional use, divides the signal spectrum into four frequency bands: band is low-pass and covers ... terms and in terms of probability functions Bayesian inference theory provides a generalised framework for statistical processing of random signals, and for formulating and solving estimation and...
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Tài liệu Advanced DSP and Noise reduction P2 pptx
... wideband noise whose spectrum has a non-flat shape; examples are pink noise, brown noise and autoregressive noise (e) Impulsive noise: consists of short-duration pulses of random amplitude and random ... sensation and quality Figures 2.9(a) and (b) show examples of the spectra of car noise recorded from a BMW and a Volvo respectively The noise in a car is nonstationary, and varied, and may include ... the signal and the noise processes The models are then used for the decoding of the underlying states of the signal and noise, and for noisy signal recognition and enhancement Noise and Distortion...
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Tài liệu Advanced DSP and Noise reduction P3 pdf
... of deterministic signals, random signals and random processes A random process generates random signals, and the collection of all signals that can be generated by a random process is the space ... that transforms a random input process X into an output process Y The input and output signals x(m) and y(m) are realisations of the random processes X and Y respectively If x(m) and y(m) are both ... Autocorrelation and power spectrum of impulsive noise Impulsive noise is a random, binary-state (“on/off”) sequence of impulses of random amplitudes and random time of occurrence In Chapter 12, a random...
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Tài liệu Advanced DSP and Noise reduction P4 pptx
... a symmetric and an asymmetric pdf and their respective mode, mean and median and the relations to MAP, MAVE and MMSE estimates 4.2.6 The Influence of the Prior on Estimation Bias and Variance ... is the random input of the AR model and n is the random noise Using Equation (4.3), the signal restoration process involves the estimation of both the model parameter vector θ and the random input ... vector µx and covariance matrix Σxx, and that the noise n(m) is also Gaussian with mean vector µn and covariance matrix Σnn The signal and noise pdfs model the prior spaces of the signal and the...
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Tài liệu Advanced DSP and Noise reduction P5 ppt
... 5.8(a) and 5.8(b) illustrate a 4-state HMM and its state–time diagram Since the number of states and the state parameters of an HMM are time-invariant, a state-time diagram is a repetitive and regular ... subtraction methods described in Chapters and 11) or by combining the noise and the signal models to model the noisy Signal and Noise Model Combination and Decomposition 171 signal The model combination ... each cluster is described by the centroid vector and the cluster probability, and the state observation model consists of M cluster centroids and the associated pmf {µik, Pik; i=1, , N, k=1,...
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Tài liệu Advanced DSP and Noise reduction P6 pdf
... x(m) and the noise n(m): Ryy = Rxx + Rnn (6.46) rxy = rxx (6.47) and we can also write where Ryy, Rxx and Rnn are the autocorrelation matrices of the noisy signal, the noise-free signal and the ... ) (6.50) where PXX(f) and PNN(f) are the signal and noise power spectra Dividing the numerator and the denominator of Equation (6.50) by the noise power spectra PNN(f) and substituting the variable ... of separability: (a) The signal and noise spectra not overlap, and the signal can be recovered by a low-pass filter; (b) the signal and noise spectra overlap, and the noise can be reduced but...
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Tài liệu Advanced DSP and Noise reduction P7 docx
... dynamics of the signal process and an observation equation models the noisy observation signal For a signal x(m) and noisy observation y(m), the state equation model and the observation model are ... m | m − 1) ~ ( m| m − 1)] = x (7.20) and we have also used the assumption that the signal and the noise are uncorrelated Substitution of Equations (7.9) and (7.16) in Equation (7.15) yields the ... observed in a random noise The state and observation equations for this problem are given by x(m)= x(m − 1) = x y(m) = x + n(m) (7.41) (7.42) Note that Φ(m,m–1)=1, state excitation e(m)=0 and H(m)=1...
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Tài liệu Advanced DSP and Noise reduction P8 pptx
... X Ba ) 2 (8.55) where X and x are the signal matrix and vector defined by Equations (8.12) and (8.13), and similarly XB and xB are the signal matrix and vector for the backward predictor ... flexibility and better performance Sub-Band Linear Prediction Model 253 In sub-band linear prediction, the signal x(m) is passed through a bank of N band-pass filters, and is split into N sub-band signals ... of a sub-band linear prediction model Linear Prediction Models 254 where Bk and fk0 are the bandwidth and the centre frequency of the kth subband respectively To ensure that each sub-band LP parameters...
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