SIGNAL PROCESSING ASSIGNMENT HELP

Signal Processing Assignment Help

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Signal processing is simply the manipulation of the properties of a specific signal to obtain a signal with more desirable properties. Properties such as amplitude, phase, or frequency spectrum may be altered to meet a specific requirement. In the early days electronic engineers achieved signal processing using discrete hardware components such as resistors, capacitors, inductors, transistors, diodes, and other semiconductor devices. In such a case a signal variable that was continuous with time was used as an input to a hardware device that produced a new version of the signal variable where some of the properties have been altered. In digital signal processing the processes that were achieved using hardware are done using software. In order to process signal variables that are continuous with time using software the variables have to be converted to the correct format; normally a sequence of numbers. This is done using analog to digital converters. A processor would then manipulate the signal in some desired fashion. After going through the processors the resulting sequence of numbers has to be converted back to analog using digital to analog converters. In the dawn of digital signal processing the processors were slow and the applications of digital signal processing were limited. Today, we have very fast and power efficient processors that the applications of digital signal processing have increased dramatically

Signal analysis: - This task deals with the measurement of signal properties. It is generally a frequency-domain operation. Some of its applications are:

• spectrum (frequency and/or phase) analysis
• speech recognition
• speaker verification
• Target detection

Signal filtering: - This task is characterized by the signal-in signal-out situation. The systems that perform this task are generally called filters. It is usually (but not always) a time-domain operation. Some of the applications are:

• Removal of unwanted background noise
• Removal of interference
• Separation of frequency bands
• Shaping of the signal spectrum

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