"Signal processing" Essays and Research Papers

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    Digital Communications

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    control logic is the circuitry generates the timing and control signals that sample the input waveform‚ and also creates a sinusoidal 1 kHz signal for use during the MODICOM 1 practical exercises. It is recommended that this signal is used for most of the experiments‚ as you will find that it is difficult to synchronize more than one oscilloscope trace when the input comes from an external source. Then third is the sampling circuit is the signal at the ANALOG INPUT socket is sampled at a rate‚ and for

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    Digital Filter

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    Rev No. Randy Yates 27–Mar–2007 16:25 PA3 n/a 1 (13) Reference fir.tex Practical Considerations in Fixed-Point FIR Filter Implementations Randy Yates 27–Mar–2007 s signal processi ng systems http://www.digitalsignallabs.com A Typeset using LTEX 2ε Digital Signal Labs Public Information Technical Reference Practical Considerations in Fixed-Point FIR Filter Implementations s Author Date Time Rev No. Randy Yates 27–Mar–2007 16:25

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    first look at this form of transmission. An analog wave form or analog signal is characterized by being continuously variable along amplitude and frequency. Digital signal is quite different from an analog signal. The signal is much simpler. Rather than being a continuously variable wave form‚ it is a series of discrete pulses‚ representing one bits and zero bits. See the figure below to look at analog and digital signals. The way ones and zeros are physically carried through a specified

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    Vodar

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    MATLAB Functionality for Digital  Speech Processing • MATLAB Speech Processing Code • MATLAB GUI Implementations Basic Functionality • • • • • • • • • • • • read a speech file (i.e.‚ open a .wav speech file and read the speech sample into a  MATLAB array) write a speech file (i.e.‚ write a MATLAB array of speech samples into a .wav  speech file) play a MATLAB array of speech samples as an audio file play a sequence of MATLAB arrays of speech samples as a sequence of audio files record a speech file into a MATLAB array

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    pulse-code modulation and digital signals for sound reproduction. This includes analog-to-digital conversion (ADC)‚ digital-to-analog conversion (DAC)‚ storage‚ and transmission. In effect‚ the system commonly referred to as digital is in fact a discrete-time‚ discrete-level analog of a previous electrical analog. While modern systems can be quite subtle in their methods‚ the primary usefulness of a digital system is the ability to store‚ retrieve and transmit signals without any loss of quality.

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    2nd Year Syllabus

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    Semester CT TA TOT P Th P 10 10 20 80 30 20 50 100 Total 100 150 Credits 3 4 Technical 3 Writing Mathematics- III 3 3 4 5 6 7 EE- 305 EC- 301 EC -302 EC- 303 AU-301/ AU-401 Sensor and Instrumentation Electronic Devices Digital Design Signals and Systems Human Values and Professional Ethics 3 3 3 3 2 1 1 1 1 1 2 2 2 2 0 20 20 20 20 10 10 30 10 30 10 30 10 30 10 20 15 15 15 15 - 100 100 100 100 80 30 30 30 30 - 175 175 175 175 100 5 5 5 5 Comp Audit course

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    improve the power quality. In this paper the Forgetting Factor RLS (FFRLS) approach has been considered to estimate not only voltage sag‚swell‚momentary interruption but also the amplitudes and phases of harmonics in case of time varying power signals in presence of White Gaussian Noise. Also comparison results with LMS and NLMS algorithms are presented to show the effectiveness of the proposed RLS algorithm. Keywords- RLS‚ LMS‚ NLMS‚ Harmonic Estimation‚ White Gaussian Noise I. INTRODUCTION

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    are sophisticated and complicated signal generators which allow the user to generate arbitrary waveforms within published limits of . frequency range‚ accuracy and output level 6 Unlike traditional function generators‚ which are limited to a simple set of waveforms ‚ An AWG allows the user to specify a source waveform in a variety of different ways such as exponential‚ cardiac‚ sinc function or the other .combinations 7 Project objective Generating multi signals with the option of changing frequency

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    In this analysis‚ the stator current signal transformed to the frequency domain using a FFT algorithm. The stator current signal of the motor is used to analyze and detect specific fault frequencies related to incipient faults. For stator winding fault‚ there is an associated fault frequency that may be identified in the spectrum. The stator fault has been detected by comparing the healthy power spectrum to faulty power spectrum. The power spectrum of stator current for healthy no-load condition

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    balanced ring modulator

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    This is because the polarity of the carrier will affect the flow of modulating signal through the diodes. The outputs are made up of two signals‚ one signal shifted up by carrier frequency signal and the other signal is shifted down by frequency carrier. Balanced ring modulators are widely use in musical instrument like guitar and radio receivers. Keywords— balanced ring modulator‚ modulating signal‚ carrier signal‚ output waveform‚ amplitude I. Introduction We as a group of telecommunication

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