Thesis in Digital Signal Processing
Digital Signal Processing
An area of signal processing in which discrete domain signals are dealt with is called digital signal processing. DSP deals with signals in discrete form like discrete frequency, discrete time or any discrete domain of signal.
The objective of DSP is generally to measure the filter or compress continuous real world analog signal. Digital signal processing can perform linear and non-linear operations. The probability of digital signal processing in error detection and correction and data compression in transmission is better than the analog signal processing.
DSP is studied in various domains like Time domain, Spatial domain, frequency domain and wavelet domains. The domains which represent the best characteristic of the signal is chose to work upon that signal.
The applications of DSP are listed as:-
• Audio and speech signal processing
• Sonar and radar signal processing
• Sensor array processing
• Spectral estimation
• Statically signal processing
• Biomedical signal processing etc.
To work on DSP various technologies like general purpose microcontroller, Field- programmable gate array (FPGAs), digital signal controllers and stream processors can be employed. So research work can be done in these areas to modify the signal.
Digital Signal Processing Techniques for Thesis Implementation
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Equalization is the reversal of disturbance that is present in the signal. The device that reverses the noise in the signal that is transmitting through a medium is known as equalizer. As because of the multipath channel fading effect occurs and due to this transmitted signal become weak. After transmitting the signal form the transmitter, the received signal is a filtered and noise corrupted transmitted sequence at the receiver end, the frequency selectivity and the ISI is result of multipath channel. Equalization can reduce the ISI and noise effects for better demodulation. As the ISI can degrade the information that is send by the transmitter.
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A digital filter is a system that is used to enhance or remove certain aspects of a signal by applying mathematical operations on that signal. This signal can be sampled or discrete time signal. The designs that are impossible or impractical to be implemented using analog filters are made practically possible using digital filters. Designing a digital filter means satisfying certain requirements or needs of signal processing. The main aim is to design such a filter that fulfills the requirements up to a satisfactory mark and makes it applicable to be used for some purposes. Certain parameters should be known before designing a filter such as frequency response, phase shift, impulse response etc. in the digital filter designing both types of filters can be designed i.e. Finite Impulse Response (FIR) filters and Infinite Impulse Response (IIR) filters. The designing of digital filters can be using z-domain arguments or window functions etc.
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Digital video broadcasting Terrestrial (DVBT) is the system that is used for transmission of the compressed digital audio, digital video and other data in MPEG format and the modulation used is coded orthogonal frequency division multiplexing or orthogonal frequency division multiplexing. In this data is divided into large stream and then the modulation on each data stream is performed. The OFDM modulation is used to provide high data rates along with robustness against multipath. It is used for positioning due to high Signal to noise ratio. The DVBT uses three modulation schemes that are QPSK, 16QAM, 64 QAM. The DVBT firstly identify the reference frame, then the location, then it measures the range and finally it will perform the navigation.
