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Hi,
Nice question, the impulse response h(n) = 0 for n<0 tells it's a causal system (represented by u(n) in your equation for IR)
for a step input (and the system is at steady state, not excited before this) the system only responds when there is first sample of non zero input signal...
Analog signals are CT in nature, i.e. the time and value resolution is infinity, for any given time (time can be 1 second or 1.0000000....2343) you have a valid signal level.
Please read:
https://en.wikipedia.org/wiki/Analog_signal
and
https://en.wikipedia.org/wiki/Continuous_signal
signals which cant be predicted from past and present data (linear prediction fails, the uncertainity in signals is too high)
https://books.google.co.in/books?id=Tae7qGtetWkC&pg=PT108&lpg=PT108&dq=hht+nonlinear+signals&source=web&ots=G9Hgh2JEKc&sig=CbbM03lsRfHZKGicxIk_Sh04vhI&hl=en
centroid of a object in labelled image: take the mean of all the coordinates of this labelled object both x and y coordinates, call this centroid (this is how regionprops in matlab does)
image compression
what is the error exactly?
whatz thr? hwatz n?
better google out for that error.
this is just a example
x = imread('mri.tif');
[XD,TREED,PERF0,PERFL2] = wpdencmp(double(x), 's', 4, 'haar', 'threshold', 5, 1);
uint8(XD)
look out for some examples on compression in "Matlab central File exchange", or google out some examples on image compression.
hopefully ur doubts are cleared by looking at the examples
hi
carrier frequency is 57M, but whats the bandwidth of the message signal? now 57+max b/w is the max freq component, Sampling freq must be well beyond Twice of this max freq, and not carrier freq alone... anyway i cant tell u much on what exact frequency...
Alias concept in DSP
hi
aliasing is when, higher frequency components takes the position or interrupts the lower frequency components
every sampling circuitry has a limit on what the input bandwidth is, (sampling rate/2 is the max input b/w, for ideal reconstruction). When the input...
hello
u've tried y = waveread(file)
later you've ploted plot(y)
its not amplitude first of all, its just variation in volts, which is sampled...into wav format...which u've read to 'y'
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