What is Digital signal processing: Definition and 27 Discussions
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency. In digital electronics, a digital signal is represented as a pulse train, which is typically generated by the switching of a transistor.Digital signal processing and analog signal processing are subfields of signal processing. DSP applications include audio and speech processing, sonar, radar and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, data compression, video coding, audio coding, image compression, signal processing for telecommunications, control systems, biomedical engineering, and seismology, among others.
DSP can involve linear or nonlinear operations. Nonlinear signal processing is closely related to nonlinear system identification and can be implemented in the time, frequency, and spatio-temporal domains.
The application of digital computation to signal processing allows for many advantages over analog processing in many applications, such as error detection and correction in transmission as well as data compression. Digital signal processing is also fundamental to digital technology, such as digital telecommunication and wireless communications. DSP is applicable to both streaming data and static (stored) data.
My research is on radar images and the images are collected in several conical surfaces. These conical surfaces have the same origin, the same maximum length (max flare or max range), but different elevations angles. The images are collected on the surface of the cones only.
I want to determine...
The widely recognized theory for the detected image in microscope (I believe) is calculated by taking the convolution of the object and a point spread function (PSF). Deconvolution tries to reverse this operation to get back the original object. This explanation sounds easy and intuitive but...
I started my research in statistical digital signal processing two years ago, so I need to familiarize myself with all the notations people use in probability and statistics. I come from a deterministic science background. I name my variables based on what they mean. A velocity is a v , a...
Error Vector Magnitude is widely used in the telecommunication industry to assess the performance of the users. In the given formula, Sr(n) is the received symbol and St(n) is the ideal symbol. N is the total number of symbols received. I have a Multi-User MIMO system simulation where there are...
Hi all!
I have a complex waveform, something like what I have attached, and I need to extract the RMS and Peak Voltage from this. However, this signal can and will change after a number of cycles on a certain setting. So, this means the period and duration of pulse can change and so can the...
Hi,
So i am in a fix now. I have a discrete time signal which is produced by a device with Nyquist frequency as 50MHz and 1088 samples (there is nothing i can do with the device to change the frequency or number of samples). I have an analytical signal which is produced in the frequency domain...
Hi,
I'm an electrical engineer for a few years now, but it's been a while since I had to deal with this kind of stuff, I turned out to become mostly a programmer in the end, but i was thinking: is Gibbs phenomenon, which was demonstrated to me during my studies while working on Fourier series...
Hello, I've been working through some Digital Signal Processing stuff by myself online, and I saw a system that I wanted to write down as a Linear Algebra Equation. It's a simple delay feedback loop, looks like this:
The (+) is an adder that adds 2 signals together, so the signal from x[n]...
Hi everyone,
I am a new engineer just work in the real industry, so I would like to collect more experience from the real project.
I am working on the Multipath problem, but I've not done before in the University, and really do not know how to solve it.
During the discussion from the...
Hi
I am currently learning Digital Signal Processing from Applied Digital Signal Processing by Manolakis and Ingle. However, my background is in mathematics, so I like being shown why an assertion is true. So, in the chapter about the z-transform is where I start seeing this becoming an issue...
Background story:
In high school, I fell in love with mathematics especially AP calculus (mostly because many other subjects in the sciences were not well taught in my school). I would often spend hours trying to learn the math in detail (often going more in detail then necessary on my own...
I was reading up on (discrete) Fourier transform when my mind started to think of an what-if scenario:
Assumed I'm sampling a signal of the form
a1*sin(b1+c1) + a2*sin(b2+c2) + a3*sin(b3+c3) + ... + aN*sin(bN+cN) + some noise
where the a's represents magnitudes, b's represents frequencies and...
Homework Statement
Consider a LTI system defined by the following difference equation: ##\mathrm{y}[n]=-2x[n]+4x[n-1]-2x[n-2]##
a) Determine the impulse response of the system
b) Determine the frequency response of the system
Homework Equations
DTFT...
Homework Statement
Consider a LTI system for which the filter coefficients are ##{\mathrm{h}_k}=\{1,2,1\}##. Find the output when the input is ##\mathrm{x}[n]=3\mathrm{cos}(\frac{\pi}{3}n-\frac{\pi}{2})-3\mathrm{cos}(\frac{7\pi}{8}n)##. Identify two frequencies in this composite signal. Show...
I really confused, I found in a book that the following system,
y[n]= x[n+1]-x[n], is not causal!
But from the definition of causality that the output y[n0] depends only on the input samples x[n] for n<=n0,,,
So I think that this system is causal...
If you agree with me please tell me that...
Digital signal processing -- conjugate reciprocal of a complex number
what is the difference between conjugate of a complex number and conjugate reciprocal of a complex number
i am asking with reference to z transform...Thanyou
I have a couple of questions about the theory about how to tell whether a system is casual and FIR or IIR.
First point is about a casual system. Is it true that all FIR systems are casual? How can you tell if an IIR system is casual?
I am I correct in thinking that a FIR system only has a...
I have a set of discrete data that I have performed multiple Gaussian smoothing filters on to act as a low-pass filter. What I have come up with is something like this:
http://i51.tinypic.com/152kieg.jpg
I'm using findpeaks() in matlab, and a peak that I want is being taken over by the...
Homework Statement
No problem statement - just the following questions.
Homework Equations
1.Display on a CRT is most similar to what reconstruction filter?
2.How many samples are required to represent a given signal without loss of information?
3.What signals can be reconstructed...
Career in DSP!
I am doing b.e electrical and electronics from bits-pilani , india.
I have just completed my second year.
I had a course on signal and systems(fourier, laplace, sampling etc.) in my fourth semester.It has aroused my interest in dsp field.
Can anyone here guide me on how to...
Homework Statement
Signal x(n)= (1/sqrt(n)) * u(n)
1.Find the energy of the signal.
2.Is the energy finite or infinite?
Homework Equations
sum|x(n)|^2 = energy
The Attempt at a Solution
I have three courses that I can choose from: Electromagnetics or Digital Signal Processing II or Semiconductor Physics and Theory for my spring?
Which do you suggest?
Hi,I am a graduate student, want to transfer from physics to electrical engineering to study communication and digital signal processing , till now I don't know so much about that.
Next semester, I will be a Teaching Assistant in Electrical engineering for the first year.each semester I must...
hello everyone,
what stuff can i tackle on my own to learn dsp? complex variables and Fourier transforms to begin with - but what else? how do other aspects of EE play into dsp? how do i get functionality fastest!?