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Q: What is the need for fourier transform in analog signal processing?

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The Fast Fourier Transform is an implementation of the Discrete Fourier Transform. The DFT is a method of processing a time-sampled signal (eg, an audio wave) into a series of sines and cosines. As such, it is not a sorting algorithm, so this question does not make any sense.

A digital signal is a physical signal that is a representation of a sequence of discrete values (a quantified discrete-time signal), for example of an arbitrary bit stream, or of a digitized (sampled and analog-to-digital converted) analog signal. The term digital signal can refer to either of the following:any continuous-time waveform signal used in digital communication, representing a bit stream or other sequence of discrete valuesa pulse train signal that switches between a discrete number of voltage levels or levels of light intensity, also known as a line coded signal or baseband transmission, for example a signal found in digital electronics or in serial communications, or a pulse code modulation (PCM) representation of a digitized analog signal.A signal that is generated by means of a digital modulation method (digital passband transmission), to be transferred between modems, is in the first case considered as a digital signal, and in the second case as converted to an analog signal.

Matlab is matrix laboratory. It concerts every input data into a matrix and performs various operations on it.Matlab is specifically used in signal processing in engineering.Various signal processing operations like convolution, correlation, filtering and transforms involve mathematical operations. These can be easily performed in Matlab.The major applications involvesignal processingimage processingspeech processingaudio processingvideo processing

In imaging science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the imageComputer graphics are graphics created using computers and, more generally, the representation and manipulation of image data by a computer with help from specialized software andhardware

I just had an MRI done and one of the comments was that an area of the scan showed a low signal intensity...as in, something is wrong with the tissue. I just had an MRI done and one of the comments was that an area of the scan showed a low signal intensity...as in, something is wrong with the tissue.

Related questions

Digital signal processing is the best compared to analog signal. It is because the digital signal is moreefficienterror freeimmune to noisethan an analog signal

Albert A. Gerlach has written: 'Role of the sectionalized Fourier transform in high-speed coherence processing' -- subject(s): Digital techniques, Fourier transform spectroscopy, Signal processing 'Theory and applications of statistical wave-period processing' -- subject(s): Radar, Random noise theory, Signal theory (Telecommunication), Sonar

The Laplace transform is related to the Fourier transform, but whereas the Fourier transform expresses a function or signal as a series of modes ofvibration (frequencies), the Laplace transform resolves a function into its moments. Like the Fourier transform, the Laplace transform is used for solving differential and integral equations.

Using Fourier transform.

The basic elements in digital signal processing are an analog to digital converter, digital signal processor, and digital to analog converter. This process can take an analog input signal, convert it to digital for processing and offer an analog output.

A Fourier series is a set of harmonics at frequencies f, 2f, 3f etc. that represents a repetitive function of time that has a period of 1/f. A Fourier transform is a continuous linear function. The spectrum of a signal is the Fourier transform of its waveform. The waveform and spectrum are a Fourier transform pair.

fourier transform deals with continuous time non-periodic signals(if the input is continuous time periodic signal(time domain) then the output is continuous nonpeiodic signal (frequency domain)) DTFT-input-discrete time nonperoidic signal(time domain),output-continuous peroidic signal(frequency domain)

z transform is related to discrete time signal while fourier series is related to continuous time signal. z transform=sigmalm -infinty to +infinity x(n)z-n

The Fast Fourier Transform is an implementation of the Discrete Fourier Transform. The DFT is a method of processing a time-sampled signal (eg, an audio wave) into a series of sines and cosines. As such, it is not a sorting algorithm, so this question does not make any sense.

Michael Jean George Corinthios has written: 'A class of fast Fourier transform computers for high speed signal processing' -- subject(s): Electronic digital computers, Fourier transformations

we can do analog signal processing also but it is very expensive as comparing with digital signal processing that's why we generally choose the digital signal processing.DSP allows programmable operations.But we cannot do in ASP.

Signal processing

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