application of the Digital Signal Processing. Spectral analysis is used in many applications such as to get the target location and its velocity information in the radar applications [9]. In general many practical applications such as Ocean noise‚ Wind speed give a time series data [10]. This data can be analyzed using spectral analysis. Spectrum estimation is a problem that involves estimating the power spectrum of the signal from a finite number of noisy measurements of the signal. The techniques
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and power of transmission is reduced by half. Depending on which half of DSB-SC signal is transmitted‚ there are two types of SSB modulation; 1. Lower Side Band (LSB) Modulation 2. Upper Side Band (USB) Modulation FM [3]Frequency modulation (FM) is a method of impressing data onto an alternating-current (AC) wave by varying the instantaneous frequency of the wave. This scheme can be used with analog or digital data. Frequency modulation is similar in practice to phase modulation (PM). When
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Transactions on Information Theory 41 (1995) 613–627. denoising based on statistical modeling of wavelet coefficients‚ IEEE Signal Processing Letters 6 (12) (1999) 300–303. 9 (9) (2000) 1522–1531. [5] A. Pizurica‚ W. Philips‚ I. Lamachieu‚ M. Acheroy‚ A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising‚ IEEE Transaction on Image Processing 11 (5) (2002) 545–557. [6] L. Zhang‚ B. Paul‚ X. Wu‚ Hybrid inter- and intra wavelet scale image restoration‚ Pattern Recognition
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followed by a course in digital communications (EE702). The course objectives for EE501 that can be taught from this text are (along with their ABET criteria) 1. Students learn the bandpass representation for carrier modulated signals. (Criterion 3(a)) 2. Students engage in engineering design of communications system components. (Criteria 3(c)‚(k)) 3. Students learn to analyze the performance‚ spectral efficiency and complexity of the various options for transmitting analog message signals. (Criteria 3(e)
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10πt Solution: ∧(5) cos 10πt = 0 Question 2: [6 points] An input signal x(t) = sinc (4t) is applied to to an LTI system with impulse response h(t) = sinc (6t). Let the output of the LTI system is y(t). (a) What type of signal is x(t) ? Energy-type or Power-type? Solution: Energy-type (b) Find the energy or power of the input signal x(t)? Solution: ∞ −∞ 1 4 2 ⊓ f 4 df = 1 4 (c) Find the energy or power of the signal y(t)? Solution: Y (f ) = H(f )X(f ) = 1 24 ⊓ f 4 . Thus
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words‚ where carry signals are generated at some positions. Depending on the position at which a carry signal has been generated‚ the propagation time can be variable. Carry Skip Adders take advantage both of the generation or the propagation of the carry signal. They are divided into blocks‚ where a special circuit detects quickly if all the bits to be added are different (Pi = 1 in the entire block). The signal produced by this circuit will be called block propagation signal. If the carry is propagated
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the system. This is don e by designing the input signal‚ which is applied to the system [3]‚ whereas output is taken as impulse response of system. Input signal is used for excitation. In this paper identification has been achieved by basic approaches as variable frequency signa l (chirp)‚ coherence function and pseudo inverse. II. SYSTEM IDENTIFICATION A suitable system is considered for the application at hand. Then a special input signal is designed such that the system captures the behavior
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where xn are the Fourier Series coefficients of periodic signal x(t)‚ and G(f ) is the Fourier Transform of a single period of x(t). • “Convolution of a signal of width w1 with a signal of width w2 results in a signal of width w1 + w2 .” • From the Fourier Transform table: k=∞ n=∞ w(t) = k=−∞ δ(t − kT ) ⇐⇒ W (f ) = 1/T n=−∞ δ(f − n/T ) 2 1. 10% dB problem: The output signal power of an ideal amplifier is 17 dBm. The input signal power is 2 milliWatts. Find the power gain of the amplifier
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______________________________________________________________________________________________ Continuous-time System Continuous-time System Continuous-time system is a system that describes the continuous-time input signals which transformed into a continuous-output signal. It can be represented by a block diagram shown in Figure 1 where x(t) and y(t) is the input and the output of the system‚ respectively. In studying continuous-time system‚ it takes into different physical orientations but
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These transmitters provide strongly observed radio-signals and show a wide azimuthal distribution for instance 0o‚ 15o‚ 30o‚ 60o and 190o. Their expected geographic locations from which they were initially emitted‚ based on the measuring azimuths were also noted. Therefore‚ reliable measurements could then
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