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Digital signal processing is the technique of performing mathematical operations on signals represented as a sequence of samples. These sequences are obtained by converting real-world analog signals from analog to digital converters. After processing, digital samples are converted back from digital to analog converters by analog signals. Digital processing of signals offers several advantages over analog processing.
Examples of DSP systems:
Examples of DSP systems can be found in speech and audio systems, telecommunications applications such as modems, electronic and biomedical instrumentation, image processing, robotics, and more.
Block diagram of DSP system:
The DSP system consists of a DSP processor between the analog front end and the analog back end. The analog front end consists of an anti-aliasing filter, a sample and hold circuit, and an analog to digital converter feeding in the DSP. The rear end is coupled to a digital to analog converter to convert the digital output to its analog value, followed by reconstruction by the filmmaker. http: // www.blockdiagram’s DSP system
Programmable Digital Signal Processor:
A programmable digital signal processor is cost effective. It can be programmed for various applications and has a short design n cycle time. Basically, it is a microprocessor whose architecture is optimized for processing sample data at high rates. It performs such operations by increasing the sum of several products faster than a simple microprocessor.
Key features of programmable digital signal processor:
1.Multiple – Accumulated Hardware: Multiple – is the most frequently used operation in accumulated digital signal processing. To implement this efficiency, the DSP has a hardware multiplier, consisting of an accumulator with a sufficient number of bits to hold the sum of the products, and an explicitly multiply-directive.
2.Harvard Architecture: In the Harvard memory architecture, there are two memory spaces, usually program memory divided as data memory.
3.Zero-overhead looping: The term zero overhead looping means that the processor can execute loops without consuming cycles to test the value of the loop counter.
4.Unique Address: DSP processors support specific addressing modes that are useful for general signal processing operations and algorithms.
Important Terms in Design and Implementation of DSP System:
- Algorithm complexity: The arithmetic operations to be performed and the accuracy required are decided by the application.
- Sample Rate: The rate at which input samples are received and processed varies with the application, and the rate with algorithm complexity determines whether a particular Dsp is suitable for the application.
- Speed: Speed depends on technology.
- Data representation: The format and number of bits are used based on the accuracy of arithmetic and the dynamic range required for a given application.
The process of converting an analog signal into a digital signal involves sampling the signal, holding it for conversion, and converting it to the corresponding digital value.
This is the phenomenon due to which the high-frequency signal when sampled using a low sampling rate, becomes a low-frequency signal that can interface with the signal of interest.
This is a preamble of the DSP system …