Fir Filter

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  • Topic: Digital signal processing, Analog-to-digital converter, Digital
  • Pages : 14 (4212 words )
  • Download(s) : 72
  • Published : April 28, 2013
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Table of Contents
Table of Contentsi
List of Figuresii
List of Tablesiii
Introductioniv
INGREDIENTS
1.0 Mobile Phones1
2.0 Speech CODEC1
3.0DSP in Medicine
3.1Hearing Aid3
3.2The Acquisition of a blood pressure signal4
3.3IIR filters to extract alpha activity from EEG signal 5 4.0ADAPTIVE ARRAY IN SMART ANTENNA TECHNOLOGY6
4.1TYPES OF SMART ANTENNA7
4.2ADAPTIVE ARRAY SYSTEMS8
4.3BASIC WORKING MECHANISM9
4.4BENEFITS OF SMART ANTENNA TECHNOLOGY10
5.0DSP IN MOTOR CONTROL
5.1MOTOR CONTROL TREND11
5.2BENEFITS OF THE DSP CONTROLLERS12
6.0DSP IN RADIO DETECTION & RANGING (RADAR)
6.1DSP APPLICATIONS IN MODERN RADAR13
6.2TASKS OF DSP IN MODERN RADAR13
6.3MOVING TARGET DETECTOR (MTD) SIGNAL PROCESSOR14
7.0COMPARISON
7.1COMPARISON OF ARCHITECTURE 15
7.2COMPARISON OF SPEED17
7.3COMPARISON OF ENERGY EFFICIENCY17
7.4COMPARISON OF COST18
REFERENCES19
LIST FIGURES
Page
Figure 1: Architecture of portable phone Terminal1
Figure 2: The Complete conceptual A/D Converter 2
Figure 3: Conversion From Continuous Time to Discrete Time2 Figure 4: The Amplitude-Range Compressed4
Figure 5: A Recording of Arterial Blood Pressure5
Figure 6: The Power Spectrum of Signal5
Figure 7: Using the IIR filter with coefficient….6
Figure 8: The Spectrum of the Original and Filtered 6
Figure 9: Beam formation for adaptive array antenna system8 Figure 10: Illustrated Beam Formation for Adaptive Array Antenna9 Figure 11: Smart Antenna Architecture10
Figure 12: DSP Controller Architecture12
Figure 13: Modern Radar Block Diagram13
Figure 14:Signal Detection Technique14
Figure 15: Moving Target Detection Block Diagram14

LIST TABLE
Table 1: Comparison of Architecture15
Table 2: Comparison of Speed17
Table 3: Comparison of Energy Efficiency17
Table 4: Comparison of Cost18

INTRODUCTION
(DSP) Digital Signal processing is a process where using mathematical manipulation to improve or enhance information signal to the benefit of credibility and accuracy of digital communications. Characterization of this DSP can be divided int Discrete frequency, discrete time representation and any other discrete domain signals that are referring to sequence of symbols and numbers. Signal processing are divided into analog and digital process. Example of the digital signal processing are Speech signal processing and sensor array processing. As we know, commonly analog signal is continuous, that’s where digital signal processing helps to measure filter and compress the analog signal. This can be done by converting the analog signal using sampling and digitizing method or also known as analog-to-digital converter (ADC). As for digitizing, it is where analog were change to a single stream numbers. The advantage of using this digital processing is beneficial in terms of error detection and correction. Frequently analog contains noise. What determine how good the signal is are always measured by the signal to noise ratio (S/N). Receiver sensitivity is to be increase so for the power of the transmitted signal in order to increase the sensitivity at the receiver part, but it will also affect the signal by competing with the desired signals. To overcome this a DSP filter were used to eliminates the unwanted signal that cause by the noise and thus minimize the number of errors per unit time. But this also have limitation as it cannot detect a signal with a low bandwidth. F the noise are too strong it will overtake the signal and DSP couldn’t find the signal as it will be loss.

For example, in a standard television broadcast station, analog signal will convert to digital...
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