fundamental properties of signals?
952027
there are many types of signals, what kind of it?\n1-deterministic\n   a-periodic\n   b-aperiodic\n   c-stationary\n   d-nonstationary\n   e-etc....\n2-stocastic\n   a-rader signal\n   b-biomedical signals\n   c-speech and audio and music signals\n   d-image signal 2D signal\n   e-etc......\n\nbe more accurate\nEng&#92;Ayman
220496
http://mathworld.wolfram.com/BesselFunctionoftheFirstKind.html\nhttp://en.wikibooks.org/wiki/Engineering_Acoustics/Bessel_Functions_and_the_Kettledrum
292420
Yes.  Convert the discrete time signal to a series of impulses.  Send the impulses through a digital to analog converter.  Send the output of the D/A through a low pass filter.  \n\nOppenheim describes the characteristics of an ideal reconstruction filter.  See pages 197-201.
773251
The Wikipedia entry discusses the linear algebraic proof of the existence of the SVD factorization (if that is what you want)\n\nhttp://en.wikipedia.org/wiki/Singular_value_decomposition\n\nA few other easy-to-understand links:\n\nFrom netlib:\nhttp://www.netlib.org/lapack/lug/node53.html\n\nFrom Numerical Recipes:\nhttp://www.nrbook.com/a/bookfpdf/f2-6.pdf
253517
should be able send signals with minimum (atenuations)loss of signals;\nshould have a high transmission speed-Bandwith;\nAccessibility and reparable;\nproduces what enters from the begining at the end;
210231
1. by radar (traffic)\n2. distance over time
356491
http://mathworld.wolfram.com/HarmonicSeries.html
519811
it is a unit regarding telephone signals
445689
Radio shack has a book (about $20) that has every freq you could ever need in it , even your local #'s
686200
Very simply to vary the frequencies of each signal to identify them seperatly.
272714
Signal to Noise is the ratio of avg Power of signal to avg Power of noise expressed mathematically as:\nSNR(dB)= 10Log(signalPower/noisePower) = 20Log(signal Amplitude/noise Amplitude)\nwhere the Amplitude is the RMS amplitude.\n\nAlso of interest is the Dynamic Range. The dynamic range measures the ratio between noise and the greatest un-distorted signal on a channel.\n\nAnother interesting measurement is the THD - Total Harmonic Distortion. Which is measurement of the harmonic distortion present and is defined as the ratio of the sum of the powers of all harmonic components to the power of the fundamental.\n\nAlot people always want to know the power of an amp, I have come to enjoy low power and less distorted music is much more pleasing.
1092820
Think of it as attempting to approach an impulse in the frequency domain.  The fourier transform of an impulse is a constant.  Try this:\n\nb = fir1(100,0.000001);\nstem(b)\n\nAll of the filter coefficients are positive.  Your result will look almost like a Gaussian distribution. That's the result of convolution.  Your filter coefficients are trying to "knock down" anything that is periodic.
95364
Looking at your various questions, it appears that you are trying to figure out how to transmit square pulses.\n\nAs other posters have noted, a square pulse is the sum of an infinite Fourier series containing the fundamental frequency and every other harmonic.  But since all real systems are band-limited, this is impossible in real-life.\n\nAn adequate representation of a square wave can be created with three to nine harmonics.  Check this link, a little over half way down there is an applet which allows you to view a square wave recreated from limited number of harmonics.\n\nhttp://www.jhu.edu/~signals/phasorlecture2/indexphasorlect2.htm\n\nIf you have a bandlimited system, then you cannot transmit a perfect square pulse.  You can, however, recreate the pulse using digital methods on the receiving end.  Check page 3 of this presentation for the concept:\n\nhttp://www.freedomuniversity.net/ColoradoTechUniv/EE645/LessonNotes/2006/Lesson1/Chapter1web.pdf\n\nSo, possible approach, using your band-limited system, transmit the best representation of the square pulse possible.  At the receiving end, typically you would use a matched filter and integrate the received signal over the sampling frequency.  The output is then compared to a threshold to determine if 0 or 1 is transmitted.  Based on this, you can recreate your square wave.\n\nHope this helps.
873172
u can get them with the help of second and higher derivatives.\ninflection point is there where the second derivative is zero.
231710
its electrical properties
1032932
mass, length, time, current, luminous intensity and solid angle steradians r fundamental. Rest all can b expressed by these alone.\n\nDarren G - missed d last 1.\n\nSo ur ans is option D
937754
Something involving atomic spectra.  For example see\nhttp://www.fas.harvard.edu/~scdiroff/lds/QuantumRelativity/StreetLampSpectra/StreetLampSpectra.html