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(a) Design a Kalman lter by specifying the stochastic model pa rameters and initial conditions: x(0), P(0), F, Q, , H, , Qd, and R (b) Angular rate and angle measurement data are posted on the website for the book i Implement the equations that integrate u to compute ii Implement the Kalman lter that uses y to estimate Use this estimate to correct Plot the residual measurements and the standard deviation of the residual measurements at the measurement time instants (c) Compare the actual and predicted performance of the system based on the analysis of the residuals Exercise 72 For the system de ned in Exercise 71, the error dynamic equations are time invariant The error state is observable from the residual measurement and controllable from the process noise A stable steady state lter exists The steady-state gain K can be found by a variety of methods, one of which is running the covariance simulation until steadystate is approximately achieved 1 Find the steady-state gain K of the Kalman lter 2 Perform covariance analysis for the time-varying lter of Exercise 71 and for the steady-state lter Discuss the performance (transient and steady-state) and computational tradeo s Exercise 73 For the system of Section 726: 1 Complete an observability analysis of the error state x for the sensor suite being used for t > 50s Relate the results of this observability analysis to the results shown in Figures 74 75 2 For t [0, 100], complete an error budget analysis similar to that in Figures 72 and 73 for the case of the additional velocity sensor Exercise 74 This exercise discusses a simpli ed aircraft instrument landing system (ILS) The objective of this exercise is to estimate the lateral deviation d and its rate of change d The aircraft is assumed to be ying at a known constant speed v = 200km/hr The ILS is assumed to supply to the aircraft a signal dk = dk + k + nk (732).

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Pulse Amplitude Modulation In pulse amplitude modulation (PAM), the strength of each individual pulse varies according to the modulating waveform In this respect, PAM resembles AM An amplitude-versus-time graph of a hypothetical PAM signal is shown in Fig 25-8A Normally, the pulse amplitude increases as the instantaneous modulating-signal level increases (positive PAM) But this can be reversed, so higher audio levels cause the pulse amplitude to go down (negative PAM) Then the signal pulses are at their strongest when there is no modulation The transmitter works a little harder if negative PAM is used Pulse Width Modulation Another way to change the transmitter output is to vary the width (duration) of the pulses This is called pulse width modulation (PWM) or pulse duration modulation (PDM), and is shown in Fig 25-8B Normally, the pulse width increases as the instantaneous modulating-signal level increases (positive PWM) But this can be reversed (negative PWM) The transmitter must work harder to accomplish negative PWM Either way, the peak pulse amplitude remains constant Pulse Interval Modulation Even if all the pulses have the same amplitude and the same duration, modulation can still be accomplished by varying how often they occur In PAM and PWM, the pulses are always sent at the same time interval, known as the sampling interval But in pulse interval modulation (PIM), also called pulse frequency modulation (PFM), pulses can occur more or less frequently than they do when there is no modulation A hypothetical PIM signal is shown in Fig 25-8C Every pulse has the same amplitude and the same duration, but the time interval between them changes When there is no modulation, the pulses are evenly spaced with respect to time An increase in the instantaneous data amplitude might cause pulses to be sent more often, as is the case in Fig 25-8C ( positive PIM ) Or, an increase in instantaneous data level might slow down the rate at which the pulses are sent (negative PIM ) Pulse Code Modulation In recent years, the transmission of data has been done more and more by digital means In digital communications, the modulating data attains only certain defined states, rather than continuously varying Digital transmission offers better efficiency than analog transmission With digital modes, the signal-to-noise (S/N) ratio is better, the bandwidth is narrower, and there are fewer errors In pulse-code modulation (PCM), any of the above aspects amplitude, duration, or interval of a pulse sequence (or pulse train) can be varied But rather than having infinitely many possible states, there are finitely many The number of states is a power of 2, such as 4, 8, or 16 The greater the number of states, the better the fidelity An example of 8-level PCM is shown in Fig 25-8D.

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2 at 10 Hz where n is Gaussian white noise with variance n = (10m)2 and (733) (t) = (t) + 2 1 w1 (t)

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[Solved] Convert PDF to TIFF using C# .NET 2.0 - CodeProject
Free source code and tutorials for Software developers and Architects.; Updated: 9 Jan 2014.

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Page.Draw. Another way to convert PDF to TIFF using C# , is to use Page.Draw() to create a bitmap for each page, and then use standard .Net methods to write these to a tiff file. There are two issue with this though: .NET does not support creating a graphics instance for a monochrome bitmap.

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